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Master of Science in Information Technology Theses

Information Technology (IT) focuses on meeting the needs of users within an organizational and societal context through the selection, creation, application, integration and administration of computing technologies. To succinctly put it - IT uses technology to apply information to meet business needs.

Information Technology is the term used to describe the convergence of computer science, management and information systems. The main distinction between IT and the other computing disciplines (e.g., computer science, software engineering, etc.) is that IT professionals must know how to apply computing technology and to build a business case for that application. It emphasizes the management and performance of information technology planning, development, implementation and operation, and development of the infrastructure to support the processes necessary to achieve organizational objectives.

The Masters of Science in Information Technology degree is designed to enhance career options for a broad mix of students. The program is geared for those students interested in pursuing a career in the management and performance of information systems planning, development, implementation and operation.

This collection was started with the graduates of the Fall 2015 semester, after the consolidation between Kennesaw State University and Southern Polytechnic State University was final (July 2015).

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Theses/dissertations from 2023 2023.

SCREENSAFEFUTURE: A PARENT-EMPATHETIC AND PRACTICAL MHEALTH APPLICATION FOR TODDLERS' BRAIN DEVELOPMENT ADDRESSING SCREEN-ADDICTION CHALLENGES , Nafisa Anjum

Analysis of the Adherence of mHealth Applications to HIPAA Technical Safeguards , Bilash Saha

Assessing Blockchain’s Potential to Ensure Data Integrity and Security for AI and Machine Learning Applications , Aiasha Siddika

Theses/Dissertations from 2022 2022

A Literature Review On Privacy and Security in Virtual Reality and Augmented Reality , Yunus Gumbo

A Maturity Model of Data Modeling in Self-Service Business Intelligence Software , Anna Kurenkov

Blockchain-based Medical Image Sharing and Critical-result Notification , Jiyoun Randolph

Theses/Dissertations from 2021 2021

Deep Learning for Human MicroRNA Precursor Prediction: A Systematic Literature Review , Martina ojonah

Non-Invasive Monitoring of Human Hygiene using Vibration Sensor and Classifier , Shashank Trivedi, Maria Valero, Hossain Shahriar, and Liang Zhao

Theses/Dissertations from 2020 2020

Distributed Denial of Service Attack Detection , Travis Blue

A Framework to Detect Presentation Attacks , Laeticia Etienne

Using Multiple Data Sources for Customer Satisfaction Analyzing: A Sentimental Approach , Jhanvi Vyas

Theses/Dissertations from 2019 2019

An Architecture for Blockchain-based Collaborative Signature-based Intrusion Detection System , Daniel Laufenberg

Theses/Dissertations from 2018 2018

Why Certified IoT Devices Remain Untrustworthy , Donald Privitera

Theses/Dissertations from 2016 2016

The Paradox of Social Media Security: A Study of IT Students’ Perceptions versus Behavior on Using Facebook , Zahra Y. Alqubaiti

A Framework for Hybrid Intrusion Detection Systems , Robert N. Bronte

Perceived Effectiveness of E-Learning for Technology Instruction in Public Library Staff Development Programs: A Survey Based on the Technology Acceptance Model , Julia Huprich

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• October 15, 2023
• Academic Advice

Thesis vs. Non-Thesis Master’s Programs: Which is Right for You?

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Continuing your educational journey within your chosen field is an experience that fosters personal and professional growth. The next milestone in your academic path often involves pursuing a Master’s degree , with options ranging from thesis-based programs to non-thesis alternatives.  Deciding between these two paths is significant as it shapes your academic and career paths.

But how can you decide which is right for you before getting decision fatigue?

Let’s explore the difference between thesis vs. non-thesis Master’s programs, their unique characteristics, and reasons for choosing one or the other. 

Do You Have to Write a Thesis for Your Master’s Program?

Whether you have to write a thesis for your Master’s program depends on the specific requirements of the program you’re enrolled in. It’s important to note that while not all Master’s programs require writing a thesis, a significant number of them do.

What is a Thesis vs. Non-Thesis Master’s Program?

A thesis Master’s program involves completing a large research project spanning over several semesters. Students are expected to conduct original research on a specific topic under a faculty advisor’s guidance, culminating in a thesis likely to be published. Completing and defending the thesis is a crucial part of the degree requirement.

A non-thesis Master’s program doesn’t involve a specific research focus but rather a more coursework and practical experience, allowing students to gain specific skills and knowledge applicable to their field of study. After completing their program’s core course requirements, students can choose any of the electives to meet their degree requirements. Depending on the institution, you may be required to do a Master’s Degree Capstone project, including reviewing previous courses, a comprehensive exam, or a summary project. 

Why Choose a Thesis Master’s Program?

Thesis Master’s programs offer several advantages, be that contributing to new findings in your field, close collaboration with professors and researchers, and standing out to potential employers with your abilities to work independently and analyze complex issues. However, the primary advantages are:

Research Experience

Thesis programs allow you to conduct extensive research on a specific topic that piques your interest.  This way, you’ll gain expertise and a comprehensive understanding of the subject matter. 

Academic Growth 

Writing a thesis helps sharpen your critical thinking, analytical, and writing skills. It also challenges you to think independently, analyze a large amount of data, and draw meaningful conclusions. Furthermore, it prepares you for doctoral studies, familiarizing you with the rigor of independent research and equips you with the necessary skills to succeed.

Why Choose a Non-Thesis Master’s Program?

Non-thesis master’s programs also come with numerous advantages for students, including flexibility in scheduling, a range of career opportunities, shorter competition time, etc. Here are the main advantages: 

Non-thesis programs prioritize coursework, fostering the development of practical skills and their real-world application. This approach enables you to actively engage in hands-on learning experiences highly sought after in today’s job market. Critical thinking, communication, problem-solving, and leadership abilities are some of those skills.

Suitability for Professionals

Another advantage to pursuing a non-thesis Master’s program is that it doesn’t take as much time as the thesis Master’s programs. That way you can enter the workforce faster. It’s also well-suited for professionals already established in their field who are seeking to further their education and advance in their careers. 

The Academic and Career Outcomes of Thesis vs. Non-Thesis Master’s Programs

The academic outcomes for the thesis Master’s program graduates involve preparation for Ph.D. programs , opening doors to advanced research and specialized roles in research institutions. This provides solid research skills and helps them publish their work. Common career paths for graduates include research positions in academia, government, or private sectors. Some also pursue teaching careers in colleges and universities. Degree programs that usually require a thesis include sciences, social sciences, engineering, and humanities (history, philosophy, and language studies).

Non-thesis Master’s program graduates typically achieve academic outcomes focused on mastering practical, directly applicable skills within their field. While these programs are more career-oriented, graduates can still pursue a Ph.D. They can benefit from diverse career options in different settings and find employment in managerial, administrative, or specialized roles in their field. Degree programs that don’t usually require a thesis are business, education, healthcare administration, IT management, etc.

Thesis vs. Non-Thesis Master’s Programs, That is the Question 

With their abundance of advantages, choosing between the two can be pretty tricky. So, let’s compare thesis vs. non-thesis Master’s programs and help you make an informed decision. 

Personal and Career Goals

A thesis Master’s program is ideal if you’re interested in furthering in academia and want to pursue a Ph.D ., as these programs can provide the necessary tools to enhance your credentials for research-based careers. Meanwhile, a non-thesis Master’s program will suit you better if you’re seeking to gain practical skills to integrate into the industry immediately, as they can include practical projects or internships according to industry demands. 

Time and Financial Considerations

Thesis Master’s programs can extend the duration of your studies, as researching, writing, and defending the thesis can take several semesters to complete and can cause financial strain due to additional costs like lab fees and materials. In contrast, non-thesis ones can help you enter the job market promptly as they are shorter, allowing you to save time and money.

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Field of Study and Program Requirements

When deciding between a thesis and a non-thesis Master’s program, a crucial element to take into account is the field of study and the program’s specific requirements. A thesis Master’s program is better suited for those pursuing research-oriented fields, while a non-thesis program is a more fitting choice for individuals with a strong focus on their career. Furthermore, program requirements for thesis programs require substantial research to culminate in a thesis, whereas non-thesis ones require capstone projects, internships, or comprehensive exams. 

Switching from a Non-Thesis to a Thesis Master’s Program, or Vice Versa

Switching from a non-thesis to a thesis Master’s program, or vice versa, is possible in many institutions, although the process and requirements may vary. Switching from a non-thesis to a thesis program generally requires getting approval from the academic advisor or department, completing additional research methodology classes, finding a thesis advisor, and applying to the thesis program. 

Switching from a thesis to a non-thesis Master’s program requires having at least a 3.0 GPA, getting approval from the academic advisor, transferring credits of research methodology classes, and formally applying to the thesis program.

Choosing between a thesis and a non-thesis Master’s program ultimately depends on your career goals, research interests, and personal preferences. Thesis programs provide a robust foundation for research-oriented careers and advanced studies, while non-thesis programs offer practical skills tailored for immediate industry integration. Regardless of your choice, both paths offer unique advantages, ensuring you gain the knowledge and skills needed to thrive in your chosen field. 

Frequently Asked Questions (FAQs):

What is the difference between a thesis vs. non-thesis master’s program.

The key difference between a thesis and a non-thesis Master’s program is that thesis Master’s programs require original research and completion of a thesis, whereas non-thesis ones focus on coursework and practical experiences. 

Do I have to write a thesis for a Master’s program?

If you’re pursuing a research-oriented Master’s degree in sciences, engineering, social sciences, humanities, etc., you’ll probably have to write a thesis. Whereas, if you’re pursuing a Master’s degree in education, business healthcare administration, or IT management, you’re more likely not to have to complete a thesis. 

Is a thesis required for all Master’s degree programs?

Although a thesis isn’t required for all master’s degree programs, many programs require one.

What should I consider when deciding between a thesis and non-thesis program?

There are several factors to consider when choosing between a thesis and a non-thesis Master’s program, including your career goals, interest in research, duration of studies, personal strengths and preferences, cost, and program requirements.

Are there any financial and duration differences between thesis and non-thesis Master’s programs?

There can be financial and duration differences between thesis and non-thesis Master’s programs. Thesis programs can be more expensive as you’ll have to spend additional resources on materials, lab fees, and data collection. In contrast, the main cost for non-thesis programs is tuition fees, which can be slightly lower. Furthermore, thesis programs require additional time to conduct research, write, and defend the thesis. In contrast, non-thesis programs allow students to earn the degree in a shorter period. 

Why should I choose a thesis Master’s program?

You should choose a thesis Master’s program if you’re interested in a research-heavy discipline and want to showcase your knowledge and expertise in an evidence-based, thorough thesis. 

Why should I choose a non-thesis Master’s program?

You should choose a non-thesis Master’s program if you want to enter the workforce earlier, don’t want to spend several semesters collecting data, and want to focus more on application than research.

Can non-thesis Master’s graduates still pursue doctoral studies later?

Yes, non-thesis Master’s graduates can still get accepted into a doctoral program. However, thesis Master’s graduates can go through the process more efficiently, as admissions panels want to gain insight into your academic interests and ability to engage in nuanced thought.

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Purdue Polytechnic Institute

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MS in Computer and Information Technology

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Degree Requirements

The M.S. degree in Computer and Information Technology is designed to be very flexible. This allows each student to tailor his or her degree to their own professional and research interests. There are multiple degree options, the requirements for which are described in the sections below.

Each degree option is divided into areas. The Primary Area is for foundation courses. The Related Area is for specialized courses. Most plans of study also include a required Thesis or Directed Project. 

Each student must file a specific plan of study with his or her Graduate Committee by the end of the second semester of graduate study. Each student's approved plan of study MUST fulfill the degree requirements for one of the options described below. Mixing and matching degree requirements is NOT permitted.

Overarching Rules for all CIT Masters Degrees

All of the M.S. in CIT degree options are subject to the following rules:

• Every student must assemble a committee of certified graduate faculty to approve their plan of study. The minimum size for the committee is three faculty, of which the major professor is the chair. A student may elect to exceed three members if s/he determines that additional faculty expertise is needed for the thesis research or the directed project.
• At least 51 percent of courses in your plan of study must be CNIT or TECH courses. Under no circumstances can the number of credits in CS courses equal or exceed those of CNIT+TECH.
• At least 51 percent of all credits must be earned while registered at the Purdue University, West Lafayette campus. In other words, you can transfer some credits from other universities, subject to relevance and non-overlap with Purdue courses taken.
• All courses taken to fulfill the primary and related areas must be taken for an regular A-F grade.
• Courses taken to fulfill the directed project or thesis development (CNIT 59800 or CNIT 69800, respectively) must be taken for a S/NS (satisfactory or non-satisfactory) grade.  Students must take at least 1 credit during each semster they work on the directed project or thesis, but there is no limit to number of credits because some students require more than the typical two semesters to complete their project or thesis.
• No more than 12 credits of Purdue courses taken as a non-degree (or TEMP) student may be applied to any Purdue graduate degree, even if those specific courses are required or relevant to your Purdue graduate degree.  In other words, a non-degree student must be officially admitted to a graduate program before they have completed more than 12 credit hours.
• No more than 6 credits of independent study courses may be applied to the M.S. degree requirements. Independent study credits must be approved by the student's committee BEFORE enrolling in those courses.
• No more than 6 credits of undergraduate courses (at the 30000- or 40000-level) may be applied to any Purdue M.S. degree requirement.  Any approved undergraduate coursework MUST provide prerequisite knowledge or expertise needed for a subsequent graduate-level course (50000- or 60000-level, inclusive of thesis and directed project work). A minimum grade of B- is required to apply an undergraduate course to any Purdue graduate degree. It should be noted that some graduate faculty will not approve any undergraduate coursework in a graduate degree plan of study.
• No course can fulfill both an undergraduate degree requirement and a graduate degree requirement. In other words, a student who took a graduate-level course to fulfill an undergraduate degree requirement cannot subsequently use those same credits to fulfill a graduate degree requirement. There is a prescribed university process and form for requesting future application of excess undergraduate credits to a graduate degree.
• A cumulative Grade Point Average > 3.00 (out of 4.00) is required for all courses applied to any Purdue M.S. degree.  Additionally, a CIT student cannot have more than 6 credits of courses in the with a grade lower than B- in the plan of study.

Degree Requirements for the M.S. in CIT with Thesis  (all students are admitted to this option)

The thesis option is the default plan of study for all M.S. CIT students with the exception of our online, distance program. The program culminates in a research thesis that contributes new knowledge to the discipline of information technology. The resulting degree will be posted to the transcript as a “thesis” degree.

This degree allows for the possibility of eventually continuing to a Ph.D. degree.

Degree Requirements for the M.S. in CIT  with a Specialization in Cyberforensics with Thesis

This is a thesis option specifically tailored to the discipline of cyberforensics.   A thesis is required , meaning that directed projects cannot substitute for the thesis, and students are not allowed to complete this degree as coursework only. The resulting degree will be posted to the transcript as a “thesis” degree, with area of specialization listed as cyberforensics.  Also see overarching rules at the top of this page.

Degree Requirements for the M.S. in CIT with Directed Project

The directed project option is an alternative plan of study for M.S. CIT students. The program culminates in the application of existing research to develop a new product or process within the discipline of information technology. Some students prefer this application-oriented option to the more research-focused thesis. The resulting degree will be posted to the transcript as a “non-thesis” degree.

As a non-thesis degree, this option may NOT allow for the possibility of eventually continuing to a Ph.D. degree.

Degree Requirements for the M.S. in CIT (coursework only EXIT option)

The coursework-only option is an exit alternative for students who cannot complete a thesis or directed project. IMPORTANT NOTE: Not all credits already earned can be applied to this option . The program requires more credit hours, offers less flexibility in course choices, and excludes any credits established for the thesis or directed project (e.g., CNIT 59800, CNIT 62300, TECH 64600, CNIT 69800).

Students who transfer into this option become ineligible for CIT funded graduate teaching or research assistantships in any future semester.

The coursework-only option is a last-resort option. Transfer into this option requires approval from the Program Chair . As a non-thesis degree, this option does not allow for the possibility of eventually continuing to a Ph.D. degree.

Notes applicable to the above M.S. Degree Requirements

These notes are indexed to the Notes columns in the above tables.

M.S. Degree Completion Steps

Plan of Study Instructions

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Curriculum: Master of Science in Information Technology

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GIA Scholarship

Active military & veteran scholarship, curriculum at a glance.

In today’s rapidly evolving world, companies demand qualified information technology professionals who can protect their data and create ingenious products. The courses at the University of Cincinnati emphasize the applied aspects of technology and are more focused on how to utilize IT solutions in the industry.

Our highly customizable program offers coursework in cybersecurity, IT infrastructure, mobile development, human-computer interaction, and more. Build the skills necessary to secure software applications, networks, and systems.

Our comprehensive curriculum prepares students for a fulfilling career in technology. Besides the 3 core classes required for all MS IT students, the curriculum is flexible to fit the goals of each individual. All students will select 15-18 credit hours of electives related to the fields they want to study. Students do have the ability to select up to 6 credits of non-IT elective coursework as there is a significant intersection between IT and fields such as Criminal Justice, Health Informatics, and Data Analytics.

Use your elective hours to earn a Certificate in Data-Driven Cybersecurity at no extra cost.

Capstone or Thesis Pathway

Students are given the option to select from either a capstone (IT final project) or thesis pathway, both of which allow students to systematically investigate an IT solution:

• MS IT students pursuing the capstone track will complete their final project by taking a 3-credit course in their last semester.
• MS IT thesis students partner closely with a faculty advisor on a 2-4 semester research project of publication quality, which is then later archived in the UC library.

Bridge Courses

Bridge Courses (12 credit hours) are required only for students who have an undergraduate GPA less than 3.0 or have no background in Information Technology. This 4-course sequence will provide incoming students with the background necessary to succeed in the MS IT program. As an added benefit, these courses can be used to receive a graduate-level Certificate in IT . Students should check their official offer letter to see which if any, bridge courses are required.  Bridge courses must be completed with a B or above before beginning MS IT coursework.  Bridge courses do not count towards the MS IT 30-hour requirement.

Bridge Certificate

*****Courses below may be required for students with low undergraduate GPA and/or no background in IT. Students should refer to their offer letter to determine which, if any, bridge courses are required.*****

12 credit hours

Core courses.

All students in the MSIT program are required to take these 3 core classes.

9 credit hours

Thesis track.

Students wishing to switch to thesis-track must identify a graduate faculty member to serve as an advisor for the thesis and then work with that faculty member to refine the thesis topic before completing Form A and turn the form into the SoIT Grad Office 2-3 semesters before graduating.

3 credit hours

Non-thesis track.

Students are automatically enrolled in the non-thesis track as this is the preferred track for students interested in a career as an IT professional. In this track, students are advised to take IT8010 IT Project no sooner than their final semester.

IT Electives

Any IT 7000+ level course

Minimum of 9 credit hours required

Approved electives outside it, a maximum of 6 credit hours.

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Information Technology and Analytics Master of Science Degree

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In this information technology master’s degree, you’ll engage in an applied IT program to understand how Big Data is collected and managed, and how its analysis informs both industry decision making and IT solutions in the computing industry.

Online Option Available

Co-op/Internship Encouraged

STEM-OPT Visa Eligible

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Overview for Information Technology and Analytics MS

• Combine IT and decision making through analytics to address the challenges and opportunities of Big Data.
• Leverage the most current data analytics techniques to address and solve industry problems.
• Complete the master's of information technology and analytics on-campus or online.

Technology has woven itself into the fabric of society, binding people and information closer together than ever before. This evolving digital era brings with it exciting innovations. It also brings a host of new, unexplored problems that can be unlocked through data analytics. RIT’s master’s of information technology and analytics provides an opportunity for in-depth, career-oriented study that explores how information is understood and leverages the most current data analytics techniques to address industry problems.

The internet has brought a new kind of democracy where all information is created equal. No longer the sole province of experts and the traditional media, it has become grassroots, viral, and global. The sheer volume and lightning speed of information transfer has changed how the world communicates, educates, learns, and ultimately solves problems. As the web and its related technologies evolve, users need help in managing these new tools.

A Growing, In-Demand Field

Demand for information technologists, data scientists, and data-driven decision-makers across all fields now comprise one-third of the data-savvy professional job market. The MS degree in information technology and analytics addresses this demand at the intersection of information technology and data science. With a program rich in analytics and in-depth, career-oriented study, you will explore how information is organized, verified, analyzed, and applied in today's data-rich environment.

An Information Technology Master’s Degree That Combines IT and Analytics

Graduate study in a computing discipline that only focuses on traditional computing approaches is not flexible enough to meet the needs of the real world. New hardware and software tools are continually introduced into the market. IT professionals must have a specific area of expertise, as well as adaptability, to tackle the next new thing. Or, just as often, retrofit available technologies to help users adapt to the latest trends.

RIT’s master’s of information technology and analytics provides an opportunity for in-depth study that prepares you for today’s high-demand computing careers. Companies are drowning in data—structured, semi-structured, and unstructured. Big data is not just high transaction volumes; it is also data in various formats, with high velocity change, and increasing complexity. Information is gleaned from unstructured sources—such as web traffic or social networks—as well as traditional ones; and information delivery must be immediate and on demand.

This degree shares curriculum with the data science master's degree, and is of particular value to professionals in the field of information technology who need to upskill in data science knowledge to handle the huge volumes of data organizations must utilize. In this degree, you will apply critical, analytical thinking to database design, management, and mining. 

As the users’ advocate, IT professionals also need the critical thinking skills to problem-solve in a wide variety of computing situations, combined with an understanding of the needs of their audience. Just knowing how technology works is no longer enough. Today, computing professionals need to know how to make it all work.

RIT’s Master’s of Information Technology and Analytics: On-Campus or Online

The master’s of information technology and analytics program addresses the web systems and integration technologies, and the information management and database technology pillars, of the IT academic discipline, along with the additional option of discovery informatics.

Domain Electives–Chosen only by those enrolled in the on-campus option, domain electives are available in: analytics, information management and database technology, or web systems and integration technologies. With permission of the graduate program director, students may select the special topics track to fulfill this requirement. See the graduate program director for more information.

Thesis/Capstone Options–For the on-campus option of the program, students may choose a project or a thesis to build upon their domain of study. The project option requires one additional domain elective. The thesis option does not require an additional elective. The online option consist of a capstone project.

An IT and Analytics Curriculum Packed with High-Demand Skills

In this degree, you will apply critical, analytical thinking to database design, management, and mining. 

• Data Analytics:  Demand for data analytics skills are growing 82%, and expertise in big data carries a salary premium.
• Data Visualization:  Demand for Tableau skills are growing 87%.
• Software and Programming:  Demand for these skills is growing 61%.
• SQL:  Nearly half of all postings for jobs in this field require advanced SQL skills.

Join us for Fall 2024

Many programs accept applications on a rolling, space-available basis.

Learn what you need to apply

30% Tuition Scholarship for NY Residents and Graduates

Now is the perfect time to earn your Master’s degree. If you’re a New York state resident with a bachelor’s degree or have/will graduate from a college or university in New York state, you are eligible to receive a 30% tuition scholarship.

Learn more about Master Up NY

Careers and Cooperative Education

Typical job titles, cooperative education.

What makes an RIT education exceptional? It’s the ability to complete relevant, hands-on career experience. At the graduate level, and paired with an advanced degree,  cooperative education and internships  give you the unparalleled credentials that truly set you apart. Learn more about  graduate co-op  and how it provides you with the career experience employers look for in their next top hires.

Cooperative education is optional but strongly encouraged for graduate students in the MS in information technology and analytics.

Curriculum for 2023-2024 for Information Technology and Analytics MS

Current Students: See Curriculum Requirements

Information Technology and Analytics (thesis and project options), MS degree, typical course sequence

Domain electives, note for online students.

The frequency of required and elective course offerings in the online program will vary, semester by semester, and will not always match the information presented here. Online students are advised to seek guidance from the listed program contact when developing their individual program course schedule.

Admissions and Financial Aid

This program is available on-campus or online.

Full-time study is 9+ semester credit hours. Part-time study is 1‑8 semester credit hours. International students requiring a visa to study at the RIT Rochester campus must study full‑time.

Application Details

To be considered for admission to the Information Technology and Analytics MS program, candidates must fulfill the following requirements:

• Complete an online graduate application . 
• Submit copies of official transcript(s) (in English) of all previously completed undergraduate and graduate course work, including any transfer credit earned.
• Hold a baccalaureate degree (or US equivalent) from an accredited university or college.
• A recommended minimum cumulative GPA of 3.0 (or equivalent).
• Submit a current resume or curriculum vitae.
• Submit a personal statement of educational objectives .
• Submit two letters of recommendation .
• Entrance exam requirements: GRE required for individuals with degrees from international universities. No minimum score requirement.
• Writing samples are optional.
• Submit English language test scores (TOEFL, IELTS, PTE Academic), if required. Details are below.

English Language Test Scores

International applicants whose native language is not English must submit one of the following official English language test scores. Some international applicants may be considered for an English test requirement waiver .

International students below the minimum requirement may be considered for conditional admission. Each program requires balanced sub-scores when determining an applicant’s need for additional English language courses.

How to Apply   Start or Manage Your Application

Cost and Financial Aid

An RIT graduate degree is an investment with lifelong returns. Graduate tuition varies by degree, the number of credits taken per semester, and delivery method. View the general cost of attendance or estimate the cost of your graduate degree .

A combination of sources can help fund your graduate degree. Learn how to fund your degree

Additional Information

Prerequisites.

It is expected that prospective students will have a background in fundamental information technology concepts including object-oriented programming, website development, database theory and practice, and statistics. Students without the necessary background should complete the prerequisites before applying to the program. However, bridge courses are available to satisfy the prerequisites.

Bridge Courses

Students whose undergraduate preparation or employment experience does not satisfy the prerequisites can make up for these deficiencies by completing prerequisite bridge courses as prescribed by the graduate program director. The bridge courses are not part of the 30-semester credit hours required for the master’s degree. Grades for bridge courses are not included in a student’s GPA if the courses are taken before matriculation; they are included if completed after matriculation. Since bridge programs can be designed in a variety of ways, the graduate program director will assist students in planning and course selection.

Online Degree Information

The information technology and analytics MS program is designed to be completed part-time (one or two courses per term). Full-time options may be available with graduate program director's approval. Time to completion will depend on the student’s individual plan of study, when courses are offered, what electives are selected, and if the student takes a summer course. Advisors work closely with students after admission on course registration. Typically students finish this degree in two years. For specific details about the delivery format and learning experience, contact the program contact listed on this page. RIT does not offer student visas for online study.

Online Tuition Eligibility The online Information Technology and Analytics MS is a designated online degree program that is billed at a 43% discount from our on-campus rate. View the current online tuition rate .

Online Study Restrictions for Some International Students

Certain countries are subject to comprehensive embargoes under US Export Controls, which prohibit virtually ALL exports, imports, and other transactions without a license or other US Government authorization. Learners from the Crimea region of the Ukraine, Cuba, Iran, North Korea, and Syria may not register for RIT online courses. Nor may individuals on the United States Treasury Department’s list of Specially Designated Nationals or the United States Commerce Department’s table of Deny Orders. By registering for RIT online courses, you represent and warrant that you are not located in, under the control of, or a national or resident of any such country or on any such list.

John-Paul Takats

Stephen Zilora

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From floppy disks to the cloud

In 2001, the dot-com bubble was bursting and investors had lost confidence in internet companies. Twenty years later, data has become a new currency, and people can access just about anything from their smartphones. Throughout all these changes, Golisano College of Computing and Information Sciences has evolved into the largest college at RIT, with more than 4,600 students this year. Since its creation 20 years ago, GCCIS has awarded more than 14,000 degrees—in a growing number of computing disciplines.

October 4, 2021

RIT joins with New York state chapter of HIMSS to help students start careers in healthcare IT management

RIT students hoping to enter the healthcare IT workforce now have a jumpstart, as the university joins with the New York state chapter of the Healthcare Information and Management Systems Society (HIMSS).

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RIT’s online degree programs ranked among nation’s best in 2021

RIT has been recognized for offering some of the best online programs in the nation. The 2021  U.S. News & World Report  Best Online Programs rankings, released this week, featured RIT on its lists for business, computing, engineering, and undergraduate online education.

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M.S. in Information Systems

Academic Advisor: https://computing.njit.edu/advising

• Graduate Catalog »
• Ying Wu College of Computing »
• Informatics »

These degree requirements apply to on campus and online programs.

(30 Credits)

Please consult the professor or academic advisor early to determine the best electives to support your work.

Students may optionally choose 2 or more courses from a single area, which will constitute a specialization. Students will choose 3 electives if taking the course-only option, 2 electives if taking IS 700B Master's Project , or 1 elective if taking IS 701B Master's Thesis . We strongly encourage students to design and conduct a Master Project or Master Thesis with an Informatics professor. If you are considering a Project or Thesis, please consult the professor early to determine the best electives to support your work. A Master Project or Master Thesis can be considered part of a specialization with the MS Advisor's permission.

Students considering a Master's Project or Thesis with the User Experience specialization are encouraged to take both  IS 661 User Experience Design  and  IS 664 Customer Discovery  - one as a core course and the other as an elective.

MS in Information Systems – Professional Management Option (36 credits)

• All 7 MSIS core courses (21 credits) are required.
• Experiential Aspect: A one-semester IS Capstone Project (IS 700B - 3 credits), two-semester MS Thesis (IS 701 – 6 credits), or Co-Op experience (not counting towards degree credits) is required.
• Students who take the IS Capstone Project (IS 700B - 3 credits) must take 4 elective courses:  1 course from the list of IS electives, 1-2 courses from the list of PTC electives and 1-2 courses from the list of Management electives.  
• Students who take the MS Thesis (IS 701 – 6 credits) must take 3 elective courses: 1-2 courses from the list of PTC electives and 3-6 credits from the list of Management electives.  
• Students who take the Co-Op experience (IS 590) must take 5 elective courses:  1-2 courses from the list of IS electives, 1-3 courses from the list of PTC electives and 1-3 courses from the list of Management electives.  
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Program description.

The Master of Science in Information Technology (MSIT) program is designed to enhance career options in the management, performance, and integration of information technology systems for current and future IT professionals. With several focus areas such as IT security, Data Management and Analytics, Enterprise IT Management and Health IT, the MSIT program prepares graduates to transition into IT careers as well as to pursue IT leadership positions in the industry. 

Admission Requirements

• Meet all KSU Graduate College Admission Requirements. 
• Resumé/Vita required. 
• Statement of purpose.  
• Undergraduate degree from an accredited university. 
• Minimum undergraduate degree GPA 2.75. Lower GPA is considered on a case-by-case basis. 
• Two letters of recommendation- Optional but strongly recommended

A Streamlined Admission Process

The MSIT program offers a streamlined admission process to students who meet following criteria:

• Are a current Kennesaw State University student majoring in a CCSE Bachelor degree program.
• Have an active petition to graduate
• Have an institutional GPA of 3.5 (or higher) in that major upon graduation

Students who have the above qualifications will not be required to submit secondary documentation that includes a resumé or vita, statement of purpose, or letters of recommendation. 

Admission Criteria for Unique Cases

A student with an insufficient computing background may be required to take up to four of following IT foundation courses.  

• IT 5413    - Software Design and Development 
• IT 5423    - Computer Networks and System Administration 
• IT 5433    - Databases: Design and Applications 
• IT 5443    - Web Technologies and Application Development 

This decision will be made based on applicant’s prior academic records and will be written in the admission letter. 

Transfer Credit

A student may transfer a maximum of six semester hours of graduate courses from a regionally accredited college/university. The transfer of credit for course work completed at another institution will be approved only under the following conditions: 

• A minimum grade of “B” was received in the course; 
• The content of the course corresponds to that of a course required or permitted in the student’s program at Kennesaw State University; 
• The credit to be considered for transfer will not be more than six years old at the time the student enters KSU. 

A request for consideration of transfer credit must be submitted to the MSIT program director by the student during the first semester of residence. The request must indicate the specific course(s) for which transfer credit is sought. A copy of the other institution’s transcript and a course description from the catalog must be submitted. 

Petition to Graduate

Each candidate must petition to graduate at least one semester prior to completion of program requirements. To complete the petition, students must log into their Owl Express account, click on the “Student Records” tab and select Petition to Graduate. For more information, please view the corresponding section of  Academic Policies   .

Program of Study

Required core courses (12 credit hours).

• IT 6203:IT Design Studio
• IT 6413:IT Service Delivery
• IT 6423:IT System Acquisition & Integration
• IT 6823:Information Security Concepts and Administration

Program Options

Capstone option.

• IT 7993:IT Capstone

15 Credit Hours from Elective Course List

Thesis Option

• IT 7999:Thesis (6 credit hours over two semesters)

12 Credit Hours from Elective Course List

• IT 7103:Practical Data Analytics
• IT 7113:Data Visualization
• IT 7123:Business Intelligence Systems
• IT 7133:Enterprise AI Applications
• IT 7143:Cloud Analytics Technology
• IT 7303:Data Privacy Technologies
• IT 7313:Physical IT Systems Security
• IT 7323:Computer Forensics
• IT 7333:Enterprise Cloud and Wireless Security
• IT 7343:Ethical Hacking: Network Security and Penetration Testing
• IT 7503:Foundations of Health Information Technology
• IT 7513:Electronic Health Record Systems and Applications
• IT 7523:Clinical Processes & Workflows: Analysis and Redesign
• IT 7533:Health Information Security and Privacy
• IT 7703:IT Policy and Law
• IT 7713:Management of Information Technology
• IT 7723:IT Strategy, Policy, and Governance
• IT 7733:Fundamentals of Enterprise Cloud
• IT 7743:Database Administration
• IT 7900:Special Topics in Information Technology
• IT 7913:Research Seminar in IT
• IT 7923:Advanced Web Technologies
• IT 7999:Thesis
• CSE 7983:Graduate Internship

Program Total: 30 Credit Hours

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What is a thesis | A Complete Guide with Examples

Table of Contents

A thesis is a comprehensive academic paper based on your original research that presents new findings, arguments, and ideas of your study. It’s typically submitted at the end of your master’s degree or as a capstone of your bachelor’s degree.

However, writing a thesis can be laborious, especially for beginners. From the initial challenge of pinpointing a compelling research topic to organizing and presenting findings, the process is filled with potential pitfalls.

Therefore, to help you, this guide talks about what is a thesis. Additionally, it offers revelations and methodologies to transform it from an overwhelming task to a manageable and rewarding academic milestone.

What is a thesis?

A thesis is an in-depth research study that identifies a particular topic of inquiry and presents a clear argument or perspective about that topic using evidence and logic.

Writing a thesis showcases your ability of critical thinking, gathering evidence, and making a compelling argument. Integral to these competencies is thorough research, which not only fortifies your propositions but also confers credibility to your entire study.

Furthermore, there's another phenomenon you might often confuse with the thesis: the ' working thesis .' However, they aren't similar and shouldn't be used interchangeably.

A working thesis, often referred to as a preliminary or tentative thesis, is an initial version of your thesis statement. It serves as a draft or a starting point that guides your research in its early stages.

As you research more and gather more evidence, your initial thesis (aka working thesis) might change. It's like a starting point that can be adjusted as you learn more. It's normal for your main topic to change a few times before you finalize it.

While a thesis identifies and provides an overarching argument, the key to clearly communicating the central point of that argument lies in writing a strong thesis statement.

What is a thesis statement?

A strong thesis statement (aka thesis sentence) is a concise summary of the main argument or claim of the paper. It serves as a critical anchor in any academic work, succinctly encapsulating the primary argument or main idea of the entire paper.

Typically found within the introductory section, a strong thesis statement acts as a roadmap of your thesis, directing readers through your arguments and findings. By delineating the core focus of your investigation, it offers readers an immediate understanding of the context and the gravity of your study.

Furthermore, an effectively crafted thesis statement can set forth the boundaries of your research, helping readers anticipate the specific areas of inquiry you are addressing.

Different types of thesis statements

A good thesis statement is clear, specific, and arguable. Therefore, it is necessary for you to choose the right type of thesis statement for your academic papers.

Thesis statements can be classified based on their purpose and structure. Here are the primary types of thesis statements:

Argumentative (or Persuasive) thesis statement

Purpose : To convince the reader of a particular stance or point of view by presenting evidence and formulating a compelling argument.

Example : Reducing plastic use in daily life is essential for environmental health.

Analytical thesis statement

Purpose : To break down an idea or issue into its components and evaluate it.

Example : By examining the long-term effects, social implications, and economic impact of climate change, it becomes evident that immediate global action is necessary.

Expository (or Descriptive) thesis statement

Purpose : To explain a topic or subject to the reader.

Example : The Great Depression, spanning the 1930s, was a severe worldwide economic downturn triggered by a stock market crash, bank failures, and reduced consumer spending.

Cause and effect thesis statement

Purpose : To demonstrate a cause and its resulting effect.

Example : Overuse of smartphones can lead to impaired sleep patterns, reduced face-to-face social interactions, and increased levels of anxiety.

Compare and contrast thesis statement

Purpose : To highlight similarities and differences between two subjects.

Example : "While both novels '1984' and 'Brave New World' delve into dystopian futures, they differ in their portrayal of individual freedom, societal control, and the role of technology."

When you write a thesis statement , it's important to ensure clarity and precision, so the reader immediately understands the central focus of your work.

What is the difference between a thesis and a thesis statement?

While both terms are frequently used interchangeably, they have distinct meanings.

A thesis refers to the entire research document, encompassing all its chapters and sections. In contrast, a thesis statement is a brief assertion that encapsulates the central argument of the research.

Here’s an in-depth differentiation table of a thesis and a thesis statement.

Now, to craft a compelling thesis, it's crucial to adhere to a specific structure. Let’s break down these essential components that make up a thesis structure

15 components of a thesis structure

Navigating a thesis can be daunting. However, understanding its structure can make the process more manageable.

Here are the key components or different sections of a thesis structure:

Your thesis begins with the title page. It's not just a formality but the gateway to your research.

Here, you'll prominently display the necessary information about you (the author) and your institutional details.

• Title of your thesis
• Your full name
• Your department
• Your institution and degree program
• Your submission date
• Your Supervisor's name (in some cases)
• Your Department or faculty (in some cases)
• Your University's logo (in some cases)
• Your Student ID (in some cases)

In a concise manner, you'll have to summarize the critical aspects of your research in typically no more than 200-300 words.

This includes the problem statement, methodology, key findings, and conclusions. For many, the abstract will determine if they delve deeper into your work, so ensure it's clear and compelling.

Acknowledgments

Research is rarely a solitary endeavor. In the acknowledgments section, you have the chance to express gratitude to those who've supported your journey.

This might include advisors, peers, institutions, or even personal sources of inspiration and support. It's a personal touch, reflecting the humanity behind the academic rigor.

Table of contents

A roadmap for your readers, the table of contents lists the chapters, sections, and subsections of your thesis.

By providing page numbers, you allow readers to navigate your work easily, jumping to sections that pique their interest.

List of figures and tables

Research often involves data, and presenting this data visually can enhance understanding. This section provides an organized listing of all figures and tables in your thesis.

It's a visual index, ensuring that readers can quickly locate and reference your graphical data.

Introduction

Here's where you introduce your research topic, articulate the research question or objective, and outline the significance of your study.

• Present the research topic : Clearly articulate the central theme or subject of your research.
• Background information : Ground your research topic, providing any necessary context or background information your readers might need to understand the significance of your study.
• Define the scope : Clearly delineate the boundaries of your research, indicating what will and won't be covered.
• Literature review : Introduce any relevant existing research on your topic, situating your work within the broader academic conversation and highlighting where your research fits in.
• State the research Question(s) or objective(s) : Clearly articulate the primary questions or objectives your research aims to address.
• Outline the study's structure : Give a brief overview of how the subsequent sections of your work will unfold, guiding your readers through the journey ahead.

The introduction should captivate your readers, making them eager to delve deeper into your research journey.

Literature review section

Your study correlates with existing research. Therefore, in the literature review section, you'll engage in a dialogue with existing knowledge, highlighting relevant studies, theories, and findings.

It's here that you identify gaps in the current knowledge, positioning your research as a bridge to new insights.

To streamline this process, consider leveraging AI tools. For example, the SciSpace literature review tool enables you to efficiently explore and delve into research papers, simplifying your literature review journey.

Methodology

In the research methodology section, you’ll detail the tools, techniques, and processes you employed to gather and analyze data. This section will inform the readers about how you approached your research questions and ensures the reproducibility of your study.

Here's a breakdown of what it should encompass:

• Research Design : Describe the overall structure and approach of your research. Are you conducting a qualitative study with in-depth interviews? Or is it a quantitative study using statistical analysis? Perhaps it's a mixed-methods approach?
• Data Collection : Detail the methods you used to gather data. This could include surveys, experiments, observations, interviews, archival research, etc. Mention where you sourced your data, the duration of data collection, and any tools or instruments used.
• Sampling : If applicable, explain how you selected participants or data sources for your study. Discuss the size of your sample and the rationale behind choosing it.
• Data Analysis : Describe the techniques and tools you used to process and analyze the data. This could range from statistical tests in quantitative research to thematic analysis in qualitative research.
• Validity and Reliability : Address the steps you took to ensure the validity and reliability of your findings to ensure that your results are both accurate and consistent.
• Ethical Considerations : Highlight any ethical issues related to your research and the measures you took to address them, including — informed consent, confidentiality, and data storage and protection measures.

Moreover, different research questions necessitate different types of methodologies. For instance:

• Experimental methodology : Often used in sciences, this involves a controlled experiment to discern causality.
• Qualitative methodology : Employed when exploring patterns or phenomena without numerical data. Methods can include interviews, focus groups, or content analysis.
• Quantitative methodology : Concerned with measurable data and often involves statistical analysis. Surveys and structured observations are common tools here.
• Mixed methods : As the name implies, this combines both qualitative and quantitative methodologies.

The Methodology section isn’t just about detailing the methods but also justifying why they were chosen. The appropriateness of the methods in addressing your research question can significantly impact the credibility of your findings.

Results (or Findings)

This section presents the outcomes of your research. It's crucial to note that the nature of your results may vary; they could be quantitative, qualitative, or a mix of both.

Quantitative results often present statistical data, showcasing measurable outcomes, and they benefit from tables, graphs, and figures to depict these data points.

Qualitative results , on the other hand, might delve into patterns, themes, or narratives derived from non-numerical data, such as interviews or observations.

Regardless of the nature of your results, clarity is essential. This section is purely about presenting the data without offering interpretations — that comes later in the discussion.

In the discussion section, the raw data transforms into valuable insights.

Start by revisiting your research question and contrast it with the findings. How do your results expand, constrict, or challenge current academic conversations?

Dive into the intricacies of the data, guiding the reader through its implications. Detail potential limitations transparently, signaling your awareness of the research's boundaries. This is where your academic voice should be resonant and confident.

Practical implications (Recommendation) section

Based on the insights derived from your research, this section provides actionable suggestions or proposed solutions.

Whether aimed at industry professionals or the general public, recommendations translate your academic findings into potential real-world actions. They help readers understand the practical implications of your work and how it can be applied to effect change or improvement in a given field.

When crafting recommendations, it's essential to ensure they're feasible and rooted in the evidence provided by your research. They shouldn't merely be aspirational but should offer a clear path forward, grounded in your findings.

The conclusion provides closure to your research narrative.

It's not merely a recap but a synthesis of your main findings and their broader implications. Reconnect with the research questions or hypotheses posited at the beginning, offering clear answers based on your findings.

Reflect on the broader contributions of your study, considering its impact on the academic community and potential real-world applications.

Lastly, the conclusion should leave your readers with a clear understanding of the value and impact of your study.

References (or Bibliography)

Every theory you've expounded upon, every data point you've cited, and every methodological precedent you've followed finds its acknowledgment here.

In references, it's crucial to ensure meticulous consistency in formatting, mirroring the specific guidelines of the chosen citation style .

Proper referencing helps to avoid plagiarism , gives credit to original ideas, and allows readers to explore topics of interest. Moreover, it situates your work within the continuum of academic knowledge.

To properly cite the sources used in the study, you can rely on online citation generator tools  to generate accurate citations!

Here’s more on how you can cite your sources.

Often, the depth of research produces a wealth of material that, while crucial, can make the core content of the thesis cumbersome. The appendix is where you mention extra information that supports your research but isn't central to the main text.

Whether it's raw datasets, detailed procedural methodologies, extended case studies, or any other ancillary material, the appendices ensure that these elements are archived for reference without breaking the main narrative's flow.

For thorough researchers and readers keen on meticulous details, the appendices provide a treasure trove of insights.

Glossary (optional)

In academics, specialized terminologies, and jargon are inevitable. However, not every reader is versed in every term.

The glossary, while optional, is a critical tool for accessibility. It's a bridge ensuring that even readers from outside the discipline can access, understand, and appreciate your work.

By defining complex terms and providing context, you're inviting a wider audience to engage with your research, enhancing its reach and impact.

Remember, while these components provide a structured framework, the essence of your thesis lies in the originality of your ideas, the rigor of your research, and the clarity of your presentation.

As you craft each section, keep your readers in mind, ensuring that your passion and dedication shine through every page.

Thesis examples

To further elucidate the concept of a thesis, here are illustrative examples from various fields:

Example 1 (History): Abolition, Africans, and Abstraction: the Influence of the ‘Noble Savage’ on British and French Antislavery Thought, 1787-1807 by Suchait Kahlon.

Example 2 (Climate Dynamics): Influence of external forcings on abrupt millennial-scale climate changes: a statistical modelling study by Takahito Mitsui · Michel Crucifix

Checklist for your thesis evaluation

Evaluating your thesis ensures that your research meets the standards of academia. Here's an elaborate checklist to guide you through this critical process.

Content and structure

• Is the thesis statement clear, concise, and debatable?
• Does the introduction provide sufficient background and context?
• Is the literature review comprehensive, relevant, and well-organized?
• Does the methodology section clearly describe and justify the research methods?
• Are the results/findings presented clearly and logically?
• Does the discussion interpret the results in light of the research question and existing literature?
• Is the conclusion summarizing the research and suggesting future directions or implications?

Clarity and coherence

• Is the writing clear and free of jargon?
• Are ideas and sections logically connected and flowing?
• Is there a clear narrative or argument throughout the thesis?

Research quality

• Is the research question significant and relevant?
• Are the research methods appropriate for the question?
• Is the sample size (if applicable) adequate?
• Are the data analysis techniques appropriate and correctly applied?
• Are potential biases or limitations addressed?

Originality and significance

• Does the thesis contribute new knowledge or insights to the field?
• Is the research grounded in existing literature while offering fresh perspectives?

Formatting and presentation

• Is the thesis formatted according to institutional guidelines?
• Are figures, tables, and charts clear, labeled, and referenced in the text?
• Is the bibliography or reference list complete and consistently formatted?
• Are appendices relevant and appropriately referenced in the main text?

Grammar and language

• Is the thesis free of grammatical and spelling errors?
• Is the language professional, consistent, and appropriate for an academic audience?
• Are quotations and paraphrased material correctly cited?

Feedback and revision

• Have you sought feedback from peers, advisors, or experts in the field?
• Have you addressed the feedback and made the necessary revisions?

Overall assessment

• Does the thesis as a whole feel cohesive and comprehensive?
• Would the thesis be understandable and valuable to someone in your field?

Ensure to use this checklist to leave no ground for doubt or missed information in your thesis.

After writing your thesis, the next step is to discuss and defend your findings verbally in front of a knowledgeable panel. You’ve to be well prepared as your professors may grade your presentation abilities.

Preparing your thesis defense

A thesis defense, also known as "defending the thesis," is the culmination of a scholar's research journey. It's the final frontier, where you’ll present their findings and face scrutiny from a panel of experts.

Typically, the defense involves a public presentation where you’ll have to outline your study, followed by a question-and-answer session with a committee of experts. This committee assesses the validity, originality, and significance of the research.

The defense serves as a rite of passage for scholars. It's an opportunity to showcase expertise, address criticisms, and refine arguments. A successful defense not only validates the research but also establishes your authority as a researcher in your field.

Here’s how you can effectively prepare for your thesis defense .

Now, having touched upon the process of defending a thesis, it's worth noting that scholarly work can take various forms, depending on academic and regional practices.

One such form, often paralleled with the thesis, is the 'dissertation.' But what differentiates the two?

Dissertation vs. Thesis

Often used interchangeably in casual discourse, they refer to distinct research projects undertaken at different levels of higher education.

To the uninitiated, understanding their meaning might be elusive. So, let's demystify these terms and delve into their core differences.

Here's a table differentiating between the two.

Wrapping up

From understanding the foundational concept of a thesis to navigating its various components, differentiating it from a dissertation, and recognizing the importance of proper citation — this guide covers it all.

As scholars and readers, understanding these nuances not only aids in academic pursuits but also fosters a deeper appreciation for the relentless quest for knowledge that drives academia.

It’s important to remember that every thesis is a testament to curiosity, dedication, and the indomitable spirit of discovery.

Good luck with your thesis writing!

Frequently Asked Questions

A thesis typically ranges between 40-80 pages, but its length can vary based on the research topic, institution guidelines, and level of study.

A PhD thesis usually spans 200-300 pages, though this can vary based on the discipline, complexity of the research, and institutional requirements.

To identify a thesis topic, consider current trends in your field, gaps in existing literature, personal interests, and discussions with advisors or mentors. Additionally, reviewing related journals and conference proceedings can provide insights into potential areas of exploration.

The conceptual framework is often situated in the literature review or theoretical framework section of a thesis. It helps set the stage by providing the context, defining key concepts, and explaining the relationships between variables.

A thesis statement should be concise, clear, and specific. It should state the main argument or point of your research. Start by pinpointing the central question or issue your research addresses, then condense that into a single statement, ensuring it reflects the essence of your paper.

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• TUM School of Computation, Information and Technology
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Thesis and Completing your Studies in Informatics

General information on your thesis.

• For tips on finding a topic and completing the thesis, please come to the information event Let's talk about - Final Thesis @in.tum
• It is mandatory to be enrolled while writing your thesis.
• For information on writing guidelines, formatting, extension, submission, and visibility of registration and submission, please see thesis in detail .

Thesis in detail

Possible examiners.

All examiners of the Computer Science and Computer Engineering Department at the School of Computation, Information and Technology can supervise Bachelor's and Master's theses. In addition, all affiliate members of the former Department of Informatics can be examiner.

You can find out which department an examiner belongs to in TUMonline. Here you will find lists for professorships and chairs:

Chairs and Professorships in Computer Science Chairs in Computer Engineering Professorships in Computer Engineering

Formatting instructions

• No handwriting (apart from date and signature at the second page)
• Cardstock (no transparent film, no plastic cover)
• Hardback (no spiral binding)
• Technische Universität München or Technical University of Munich
• School of Computation, Information and Technology - Informatics
• Master's Thesis in | Bachelor's Thesis in Informatics | Informatics: Games Engineering | Information Systems | Biomedical Computing | Data Engineering and Analytics ...
• Thesis title (in the language of the thesis). Please note: If the title is different from the title you have registered, the new title must be confirmed by your examiner.
• First and last name of the author.
• The TUM and departmental logos are optional.
• Please note:  The TUM and departmental logos are optional. Do not attach any notes, images and company name or other logos. No company name or company logo. 
• Author and shortened title, Imprinted or permanently fixed (f.e. glue on the text with wide tape).

First page:

• Repeat the cover information. 
• The title must be written in English as well as German.
• Examiner:  The first and last names of the supervisor including the academic title
• Supervisor/s:  The first and last names of the advisor/s including the academic title
• the actual submission date
• or the submission deadline (15th of the month)
• Please note:  Do not include your student registration number or other personal data such as date of birth. Do not attach any notes, images and company name or logo.

Second page:

• Include the following declaration: I confirm that this bachelor's thesis | master's thesis is my own work and I have documented all sources and material used.
• Handwritten signature and date of signature  (date may also be handwritten).

Formatting (examples and template)

LaTeX template

There is a (non-official) LaTeX template , but the previously mentioned formatting instructions should be checked.

Code of Conduct

Please respect the  Student Code of Conduct .

TUM Writing Guidelines

• TUM The Use of English in Thesis Titels at TUM

TUM Handout Theses

The latest version of the handout can be found on the central website Downloads - Teaching and Quality Management .

Registration

Bachelor's thesis / master´s thesis.

From 15 January 2024 , all final theses in the School of Computation, Information and Technology will be managed via the CIT portal.

Once you have found a topic and a supervising chair for your thesis, you will be registered by the supervising chair . You will receive an e-mail asking you to confirm your thesis registration. Only after you have confirmed your registration the Academic Programmes Office will be able to check the admission requirements and you will receive an email confirming your binding registration for your thesis.

For more information, see  Thesis and Competing your Studies

Deadline for submission of Bachelor´s Thesis is is four months later at the latest (Bachelor Informatics and Informatics: Games Engineering) resp. five months later at the latest (Bachelor Information Systems)

Deadline for submission of Master´s Thesis is six months later at the latest. Other deadlines apply for  part-time students .

Visibility in TUMonline (Registration and Submission)

How can I see in TUMonline that my thesis is registered?

On your personal overview page in TUMonline, you will find the application "Student Files" in the section "Studies and Courses". If you click on it, you will get to your student file, where there is also a tab "Degrees". In the lower part of this tab you will find your thesis, if you are already registered. If you hold the cursor over the orange dot, your submission date will be displayed.

Alternatively, you can go to your "Curriculum Support" via the tile "Study Status/Curriculum". If you expand the entry "Bachelor'sThesis" with the "Plus" twice, you will see a note that the thesis is registered.

When we have received your thesis and registered your submission, this will also be displayed there.

Submission and Extension for theses starting before 15.01.2024

The subsequent regulations apply only to students in the following degree programs:

• Bachelor: Informatics, Informatics: Games Engineering, Information Systems
• Master: Biomedical Computing, Data Engineering and Analytics, Informatics, Informatics: Games Engineering, Information Systems,

Onsite submission - Only for theses starting before 15.01.2024

Next Submission Date: Monday, April 15th, 2024, 10 a.m. - 1 p.m., room 00.10.033

The submission of final theses is possible on every 15th of a month, or on the next following working day at the times indicated above, in room 00.10.033.

Submission by post - Only for theses starting before 15.01.2024

If it is not possible for you to hand in your final thesis onsite, you will have to send it by post.

Please mail one copy of your thesis by post to:

Technische Universität München Servicebüro Studium Informatik, SB-S-IN Boltzmannstr. 3 D-85748 Garching

The date of the postmark counts.

Submission regulations - Only for theses starting before 15.01.2024

• the thesis must be submitted on the 15th of the month, or the next working day if the 15th is a Saturday, Sunday, or public holiday
• early submission is possible
• Submit one paper copy at the Academic Programs Office - Informatics
• Submit one copy to your examiner (please clarify with your examiner how to submit this copy)
• You may also wish to give one copy to the departmental library and one copy to the supervisor, but this is not compulsory.

If a final thesis has been approved as a group paper in consultation with the examiner in the sense of §18 Para. 2 of the APSO, each author must nevertheless submit a separate copy of the thesis with his or her own affidavit. The individual assignment of the examination performance to be evaluated should be clearly evident from the work. On the cover page and the spine only the name of the student submitting this copy should be written. On the first page, all authors can be listed under "Authors".

If you are unable to meet the submission deadline of your thesis for valid reasons for which you are not responsible, you can submit an application for an extension of the thesis to the Examination Board.

The application must be submitted immediately to the secretary responsible for your degree program, by email from your TUM account. If possible, please fill in and sign the form digitally. Medical certificates also have to be submitted in original (by post). The processing time after submission of all documents is usually two weeks, and you will be notified of the Examination Board's decision.

Applications can generally be divided into two categories:

1) Health reasons

If you are ill and can prove by a certificate that you are prevented from working on your thesis, the processing time is suspended. In the Department of Informatics, this is represented by an extension of your submission deadline. A medical certificate must be enclosed with the application in original. A certificate of incapacity for work is not sufficient. You can find the requirements for a certificate on the website  Withdrawing from Examinations – Medical Certificates .

Request for an Extension for Health Reasons

2) Other reasons

In cases of delays due to other valid reasons for which you are not responsible, the submission deadline of your thesis may be extended in exceptional and particularly justified cases in agreement with the thesis examiner and with the approval of the Examination Board. Please enclose a detailed justification (if possible with supporting documents) with your application.

Request for an Extension for Other Reasons

Completing your Studies

Release of final certificate.

Please contact the secretary of the Examination Board of your study program via e-mail for the release of your Bachelor's degree documents when all grades have been entered and validly set. For enrollment in consecutive Master's programs in Informatics at TUM, the following applies: From mid-September and mid-March respectively, the graduation will be reported directly to the Enrollment Office after the release of the transcripts, so that the graduation documents are no longer necessary for enrollment.

Graduation documents and preliminary certificates

Please be aware that graduation documents and preliminary certificates can only be issued when all grades in TUMonline (including the thesis) are validated. Certificates for students of the Faculty for Informatics  are issued by the  Graduation Office and Academic Records Campus Garching  exclusively,  after approval by the Examination Board . Please contact the  Secretary of the Examination Board of your study program  as soon as all your grades are validated. (Responsible Secretary of the Examination Board: see section "Contact" on the webpage for your study program)

Transition Bachelor – Master

If you enroll for a consecutive Master's program at the Department of Informatics after your Bachelor's degree, we will forward your bachelor's degree to the Admissions and Enrollment Office for enrollment (not for the application!). The graduation documents are therefore not necessary for enrollment. A green checkmark will then appear in the online application portal for your degree certificate and diploma. Please note that it may take a few days until the documents are updated in the portal. If you do not see these two green check marks 1 week before the enrollment deadline, please contact the secretary of the examination board as soon as possible.

Please find more information under  graduation .

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Master's specialising in Information Technology by Coursework and Minor dissertation 

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Click on the links below for information on the various MIT courses:

• CSC5004W    Information Technology Minor Dissertation
• CSC5007Z    Database Systems
• CSC5010Z    MIT: Computer Networks
• CSC5011Z    MIT: Object-Oriented Programming In Python
• CSC5012Z    MIT: Human Computer Interaction
• CSC5013Z    MIT: Database Systems
• CSC5014Z    MIT: Social Issues & Professional Practices
• CSC5015Z    MIT: Software Engineering
• CSC5016Z    MIT: Web Programming
• CSC5017Z    MIT: Research Methods
• INF5007W Information Technology Minor Dissertation
• INF5007Z MIT: Social Issues & Professional Practice
• INF5008Z MIT: System Security
• INF5009Z MIT: Software engineering

CSC5004W    INFORMATION TECHNOLOGY MINOR DISSERTATION  90 NQF credits at HEQSF level 9  Convener: Dr M Densmore  Course entry requirements: CSC5005H and CSC5006H or (CSC5010Z, CSC5011Z, CSC5012Z, CSC5013Z, CSC5014Z, CSC5015Z, CSC5016Z and CSC5017Z) or permission from the convener. Course outline:   Upon successful completion of the coursework component (Two block modules (CSC5005H and CSC5006H) or all eight individual modules  (CSC5010Z, CSC5011Z, CSC5012Z, CSC5013Z, CSC5014Z, CSC5015Z, CSC5016Z and CSC5017Z)), students will be required to register for this minor dissertation course and complete a one year research project under supervision of an appropriate computer science academic staff member.  Assessment: The minor dissertation must be presented for formal examination. The coursework and minor dissertation each count 50% towards the degree; each must be passed separately for the award of the degree. 

CSC5007Z DATABASE SYSTEMS 12 NQF credits at NQF level 9 Convener: Associate Professor S Berman Course entry requirements: Acceptance into the Master's degree, specialising in Data Science or Information Technology. Course outline: This course will introduce students with little or no prior experience to the three cornerstone database technologies for big data, namely relational, NoSQL and Hadoop ecosystems. The course aims to give students an understanding of how data is organised and manipulated at large scale, and practical experience of the design and development of such databases using open source infrastructure. The relational part will cover conceptual, logical and physical database design, including ER modelling and normalisation theory, as well as SQL coding and best practices for performance enhancement. NoSQL databases were developed for big data and semi-structured data applications where relational systems are too inefficient; all four types of NoSQL architecture will be introduced. Distributed data processing is key in manipulating large data sets effectively. The final section of the course will teach the popular Hadoop technologies for distributed data processing, such as MapReduce programming and the execution model of Apache Spark. The course will be presented in an online format. DP requirements: 40% for assignment component. Assessment: Final examination: 50%; Practical assignments: 50%. A sub-minimum of 40% will be required for each of the assignment and exam components of the course.

CSC5010Z    MIT: COMPUTER NETWORKS  12 NQF credits at HEQSF level 9  Convener: Dr M Densmore  Course entry requirements: Admission into the Master’s degree specialising in IT, or permission from the course convener.  Course outline:   In the course, a framework for describing the operation of computer networks is developed. Within this framework, we start with the operation of local-area networks, packet-switched networks and the Internet. After this, the module moves to the uses made of these networks, concentrating on business applications. The effect on organisations of introducing such networked applications is also examined.  DP requirements: 40% for assignment component.  Assessment: Final examination: 70%; Practical assignments: 30%. A sub-minimum of 40% will be required for each of the assignment and exam components of the course. 

CSC5011Z    MIT: OBJECT-ORIENTED PROGRAMMING IN PYTHON  12 NQF credits at HEQSF level 9  Convener: Dr M Densmore  Course entry requirements: Admission into the Master's degree specialising in IT, or permission from the course convener.  Course outline:   The underlying aim of all courses is to develop a foundation in key topics related to the application of computer hardware and software in solving practical problems.  This is a basic introduction to object-oriented programming in a modern language, namely, Python. Python is becoming increasingly popular as an effective means of introducing programming concepts to those who are new to programming. Students will be taught how to create simple applications in the Python language.  DP requirements: 40% for assignment component.  Assessment: Final examination: 70%; Practical assignments: 30%. A sub-minimum of 40% will be required for each of the assignment and exam components of the course. 

CSC5012Z    MIT: HUMAN COMPUTER INTERACTION  12 NQF credits at HEQSF level 9  Convener: Dr M Densmore  Course entry requirements: Admission into the Master's degree specialising in IT, or  permission from the course convener.  Course outline:   Introduction to the discipline of human-computer interaction. This module covers how knowledge from fields such as psychology and graphic design can be used to increase the usability of computer software.  DP requirements: 40% for assignment component.  Assessment: Final examination: 70%; Practical assignments: 30%. A sub-minimum of 40% will be required for each of the assignment and exam components of the course.

CSC5013Z    MIT: DATABASE SYSTEMS   12 NQF credits at HEQSF level 9  Convener: Dr M Densmore  Course entry requirements: Admission into the Master's degree specialising in IT, or permission from the course convener.  Course outline:   A perspective on database management system structure and function is provided. Topics introduced include: architecture of databases; data models; normalisation; front-end systems; security, recovery and concurrency, data and database; administration; object-oriented database systems; client-server and distributed database systems and research topics in DBMS's.  DP requirements: 40% for assignment component.  Assessment: Final examination: 70%; Practical assignments: 30%. A sub-minimum of 40% will be required for each of the assignment and exam components of the course.   

CSC5014Z    MIT: SOCIAL ISSUES & PROFESSIONAL PRACTICES  12 NQF credits at HEQSF level 9  Convener: Dr M Densmore  Course entry requirements: Admission into the Master's degree specialising in IT, or  permission from the course convener.   Course outline:   The underlying aim of all courses is to develop a foundation in key topics related to the application of computer hardware and software in solving practical problems. SIPP introduces important considerations relating to ethical and professional issues. It introduces students to ethical issues such as property rights, freedom of expression and privacy, and concepts such as free and open source software, ICT for Development, and Professional Codes of Conduct. It also equips students with tools for critical reasoning in order to construct and analyse ICT policy arguments and evaluate the ethical components in ICT case studies.  DP requirements: 40% for assignment component.  Assessment: Final examination: 70%; Practical assignments: 30%. A sub-minimum of 40% will be required for each of the assignment and exam components of the course. 

CSC5015Z    MIT: SOFTWARE ENGINEERING  12 NQF credits at HEQSF level 9  Convener: Dr M Densmore  Course entry requirements: Admission into the Master's degree specialising in IT, or  permission from the course convener.  Course outline:   This module aims to introduce a range of techniques within both structured and object-oriented methods, in order to enable you to analyse and design well engineered software solutions. You will be introduced to the practical use of CASE tools in modelling and documenting analysis and design specifications. Different life cycle models will also be discussed.  DP requirements: 40% for assignment component.  Assessment: Final examination: 70%; Practical assignments: 30%. A sub-minimum of 40% will be required for each of the assignment and exam components of the course. 

CSC5016Z    MIT: WEB PROGRAMMING  12 NQF credits at HEQSF level 9  Convener: Dr M Densmore  Course entry requirements: Admission into the Master's degree specialising in IT, or  permission from the course convener.  Course outline:   This course introduces students to the technology underlying the modern Internet. This includes: the systems used to encode information and how the information is architected; the use of Javascript as a dynamic execution model; modern information encoding approaches such as XML; and the creation of Web applications.  DP requirements: 40% for assignment component.  Assessment: Final examination: 70%; Practical assignments: 30%. A sub-minimum of 40% will be required for each of the assignment and exam components of the course. 

CSC5017Z    MIT: RESEARCH METHODS  12 NQF credits at HEQSF level 9  Convener: Dr M Densmore  Course entry requirements: Admission into the Master's degree specialising in IT, or  permission from the course convener.  Course outline:   This module is intended to provide students with the insight and techniques required to allow them to write a successful postgraduate research project - the final module leading to the Master's Degree. Topics to be covered include: Introduction to IT Research; Ethics in Research; Conducting a Literature Review; Finding a Research Question/Goal; Project Management; Research Proposals; Experimentation; Prototypes; Case Studies; Surveys; Conducting Observations; Testing in IT Research; Modelling; Usability Analysis; Introduction to Statistics; The Writing Process; Research Presentations; and The Masters/PhD Thesis.  DP requirements: 40% for assignment component.  Assessment: Final examination: 70%; Practical assignments: 30%. A sub-minimum of 40% will be required for each of the assignment and exam components of the course. 

INF5007W INFORMATION TECHNOLOGY MINOR DISSERTATION 90 NQF credits at NQF level 9 Convener: W.Chigona

Course entry requirements: A non-IT honours degree, or equivalent   Course outline:  Upon successful completion of the coursework component, students will be required to register for this minor dissertation course and complete a one-year research project under supervision of an appropriate academic staff member from the school of IT.  Students will be able to plan and conduct research on a specialised area in IT or related areas independently; and critically analyse, evaluate the findings or outcomes in terms of existing frameworks and theories and draw logical conclusions. Students will also be able to present research findings and make appropriate recommendations.

DP requirements: In order to be permitted to sit the final exam a minimum average of 40% on the coursework must be obtained

Assessment: The minor dissertation must be presented for formal examination. The coursework and minor dissertation each count 50% towards the degree; each must be passed separately for the award of the degree.

INF5007Z SOCIAL ISSUES AND PROFESSIONAL PRACTICE 15 NQF credits at NQF level 9 Convener: T. Chimboza

Course entry requirements: A non-IT honours degree, or equivalent

Course outline:  The underlying aim of the course is to provide students with the ability to independently and as a team member identify, analyse, discuss and report key social and human factors in Cyber Security and emerging technologies such as AI for both individuals and society. Students will also be provided with an opportunity to explore the human and design implications of Cyber Security and emerging technologies. On completion of this module, students are expected to be able to: 1 Identify important social and human factor issues that impact professional behaviour linked to Cyber Security.  2 Research and analyse material and real-world situations that relate to social and human factor issues linked to Cyber Security.  3 Discuss and report the outcomes of investigations.  4 Provide advice and recommendations about how to tackle social and human factor issues linked to Cyber Security. 

Assessment: 2 Assignments (50%) and an Exam (50%).

INF5008Z SYSTEM SECURITY 15 NQF credits at NQF level 9 Convener: M. Kyobe

Course entry requirements:  A non-IT honours degree, or equivalent

Course outline: The course aims to provide students with the ability to independently and as a team member identify, analyse, discuss and report key issues in Cyber Security for both individuals and society. Students will also be provided with an opportunity to explore the human and design implications of Cyber Security. This includes key topics such as risk, trust, and user research for security.  On completion of this module, students are expected to be able to: 1 Identify important issues that impact Cyber Security.  2. Understand cyber security frameworks and theories 3 Research and analyse material and real-world situations that relate to Cyber Security.  4 Discuss and report the outcomes of Cyber-Forensic investigations.  5 Provide advice and recommendations about how to tackle Cyber security issues 

INF5009Z SOFTWARE ENGINEERING 15 NQF credits at NQF level 9 Convener: I. Brown

Course outline:  The underlying aim of all courses to develop a foundation in key topics related to the application of computer hardware and software in solving practical problems. This module aims to introduce a range of techniques within both structured and object-oriented methods, in order to enable you to analyse and design well engineered software solutions. You will be introduced to the practical use of CASE tools in modelling and documenting analysis and design specifications. Different life cycle models will also be discussed.  Upon completion of this course, students should have a grasp of basic software engineering concepts, including design processes (eg. Waterfall, agile) and software architectures (e.g. client-server, model-view- controller). They should be able to model large pieces of software using standard modelling languages and tools 

Assessment: 2 Assignments (50%) and an Exam (50%).  

Home > ETD > DEP_INFOTECH > ETDB_INFOTECH

Information Technology Bachelor's Theses

Theses/dissertations from 2021 2021.

Data privacy compliance management system for the Data Privacy Office, De La Salle University, Manila , Frances Emmanuel D. Callado, Miguel Paolo M. Juan, and Gian Marco C. Saquilon

Theses/Dissertations from 2012 2012

A teachware for mobile teachers on basic reading , Ma. Katrina Carmela T. Barrios, Lian Sabella V. Castillo, and Ma. Clarissa Andrea C. Tenorio

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NU-Manila: Master in Information Technology

Description

The Master in Information Technology (MIT) program is a non-thesis graduate program for professionals and educators who want to advance their knowledge and skills in Information Technology. Subsequently, the program aims to provide and equip graduate students with the competency used in today’s Business-IT environment. The MIT curriculum of the department is composed of thirty-three (33) units of coursework comprising of core courses (15 units) and specialization courses (18). A capstone project (6 units) is the terminal activity of the graduate student, which must be presented in a local or international research forum.

Program Outcomes

• Demonstrate a comprehensive understanding of the Information Technology principles and practices.
• Demonstrate a deep appreciation of one IT specialization in solving complex Business-IT problems.
• Identify and analyze organizational needs and take them into account in the evaluation and formulation of IT-based solutions.
• Recommend IT solutions based on industry-recognized best practices and standards.
• Effectively produce and implement optimal solutions to complex Information Technology problems.
• Craft policies, guidelines, and procedures to assure the integrity and maintainability of an Information System.

Core courses (15 units)

Elective/Specialization courses (18 units)

Comprehensive examination (0 unit)

Capstone/Independent Project (6 units)

Students taking the independent project must have appropriate industry partner/s and/or beneficiaries. The project should undergo pilot testing and must be presented in a local or international research forum.

MIT Extension Program at NU Laguna

The College of Computing and Information Technologies (CCIT) is offering the Master in Information Technology (MIT) program at NU Laguna as an extension program of NU Manila. All specialization courses will be handled by faculty members of NU Manila through distance education (remote synchronous/asynchronous learning). NU Laguna is located at Km. 53 Pan-Philippine Hwy, Calamba, 4029 Laguna.

For inquiries, you may call or email the admissions of NU Laguna through the ff:

Phone: (049) 572-3356

E:mail: [email protected]

Admission Requirements

Applicants should have relevant degrees in Information Technology or other allied fields (e.g., Computer Science, Information Systems, Computer Engineering, etc.). If an applicant is not a graduate of BSIT or any allied field, the applicant will be placed on probationary status. The applicant is expected to take at least (9) units of bridging/remedial courses in the undergraduate program.

Applicants may take bridging courses depending on the program completed in their undergraduate program.

Students taking bridging courses should not incur a grade lower than 2.0.

Bridging courses:

• Fundamentals of Programming
• Database Fundamentals
• Software Engineering
• Introduction to Networking
• Operating Systems
• Computer Organization

Applicants must submit the following (enclosed in a long brown envelope):

• CV highlighting work experience, training, and publications (if applicable)
• Copies of articles in journals and conference proceedings (if applicable)
• Photocopy of NSO Birth Certificate and two IDs
• Transcript of Records
• Transfer Credentials / Honorable Dismissal (if applicable)
• Photocopy of the title page and abstract of undergraduate thesis / special project
• Two sealed recommendation letters
• For employed applicants, certificate of employment

NU Computing Research Center

The National University Computing Research Center (NU CRC) is envisioned to be an agent for economic growth and a leading research hub under the College of Computing and Information Technologies (CCIT). The NU CRC is aimed at pioneering and directing the development, advancement, preservation, and dissemination of knowledge in the field of computing.

Under the CRC are three (3) computing research laboratories designed to support the research initiatives of CCIT for both faculty members and students in various computing disciplines.

Research Laboratories

Web and Mobile Computing Innovations (WaMCl)Laboratory

The Web and Mobile Computing Innovations (WaMCI) Laboratory supports and provides a venue for research endeavors of students and faculty members of CCIT in the field of Web, Cloud, and Mobile Computing. The WaMCI Laboratory is focused on web and mobile systems and their applications in pervasive computing, augmented reality, education, healthcare, security, unmanned aerial vehicles, and robotics. Research under the laboratory includes innovations in web and mobile applications in both smartphones and tablets with the goal of addressing societal and business needs.

Human Interaction and Digital Signal Processing (HiDSP) Laboratory

The Human Interaction and Digital Signal Processing (HiDSP)Laboratory supports and provides a venue for research endeavors of students and faculty members of CCIT in the fields of human-computer interaction and digital signals processing. HiDSP is dedicated to the pursuit of research and development works in the analysis of interaction between people and computers, and signal processing such as sounds and images. The goal of the laboratory is to develop competent and productive research that addresses societal issues and can be applied in nation-building. Furthermore, involved researchers will explore the application of different advanced machine learning and computational approaches in solving engineering problems

Human Language Technology (HLT) Laboratory

The Human Language Technology (HLT) Laboratory is envisioned both as the national benchmark and leading research and innovation space in the ASEAN region for the field of human language technology. With an interdisciplinary team of researchers and innovators, the collective is pioneering and directing the development, advancement, preservation, and dissemination of knowledge in this field.

Contact Details

For inquiries you may contact or email the ff:

Program Chair, CCIT Graduate Programs [email protected]

+63 02 8712 1900 loc 1456

Dean, College of Computing and information Technologies [email protected]

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