does information technology course have thesis

Degree Requirements: 30 Credit Hours (Thesis)

Admission requirements, regular admission.

• Admissions to the MSIT program are competitive. Meeting the admission requirements does not guarantee admission to the program.
• Completed requirements for the Bachelor’s degree at a college or university accredited by the proper regional accrediting association.
• An undergraduate degree or the equivalent in Information Technology, Computer Science/Engineering, or Information Systems, or a closely related field of study.
• A 3.00 (4.0 scale) cumulative grade point average (GPA) or higher on courses in undergraduate work, or equivalent.
• International students must meet College of Graduate Studies English Proficiency requirements.
• two years of work experience in the IT field if the undergraduate degree is not in information technology, information systems, computer science/engineering or a closely related field; and
• a competitive score on the GRE or GMAT exam. The GRE or GMAT exam may be waived if the applicant has three or more years of work experience in IT or a closely related field.

Provisional

A student may be granted provisional admission based upon the recommendation of the Master of Science in Information Technology Graduate Program Coordinator or Department Chair.

Non-degree students are accepted on an individual basis as space is available.

Program of Study

1  (See footnote below)

Core Requirements Credit Hours: 12

• IT 7130 - IT Governance (3 Credit Hours)
• IT 7131 - Information Technology Research Methods (3 Credit Hours)
• IT 7134 - IT Project Management (3 Credit Hours)
• IT 7135 - Seminar in IT (3 Credit Hours)

Electives Courses Credit Hours: 12

• IT 5090G - Selected Topics in Information Technology (3 Credit Hours)
• IT 5135G - Data Analytics (3 Credit Hours)
• IT 5233G - Web and Mobile Security Fundamentals (3 Credit Hours)
• IT 5236G - Distributed and Mobile Systems (3 Credit Hours)
• IT 5433G - Information Storage and Management (3 Credit Hours)
• IT 5434G - Advanced Network Security (3 Credit Hours)
• IT 7090 - Selected Topics in Information Technology (1-3 Credit Hours)
• IT 7133 - Digital Security and Forensics Investigation (3 Credit Hours)
• IT 7176 - Data Visualization (3 Credit Hours)
• IT 7177 - Reliable IT System Design (3 Credit Hours)
• IT 7178 - System Security and Information Assurance Strategies (3 Credit Hours)
• IT 7179 - Web Graphics Design Studio (3 Credit Hours)
• IT 7790 - MSIT Internship (1-3 Credit Hours)
• IT 7895 - Special Problems in IT (1-3 Credit Hours)
• Or other elective courses approved by MSIT Program Coordinator

Thesis Credit Hours: 6

• IT 7999 - Thesis (1-6 Credit Hours)

Total Credit Hours: 30

1 A minimum of 50% of courses for the Master of Science in Information Technology degree must be taken at or above the 6000 level.

Each candidate for the Master of Science in Information Technology Thesis Option degree must complete a thesis on a subject approved by the graduate thesis committee. The major professor supervises the research, directs the writing of the thesis, and approves the thesis in its final form. Prior to the final approval, the thesis is read by the thesis committee. One member, termed the second reader, has responsibility for an intensive and rigorous criticism of the thesis and a third member of the thesis committee has the responsibility of an “editorial reader.” Both second and third readers must report all comments to the major professor. The thesis must be defended in an oral examination before the graduate committee prior to final approval and sign-off. The style and format for the completed thesis shall follow that prescribed by the Program Director for the Master of Science in Information Technology degree. Procedural steps in the preparation of the thesis are as follows:

• The prospectus for the thesis shall be submitted to the major professor and thesis committee for approval.
• The student must prepare the thesis for electronic submission following the latest version of the Electronic Thesis and Dissertation (ETD): Student Guide to Preparation and Processing manual.
• The thesis must be electronically submitted to the ETD site for format check by the final thesis submission deadline as stated in the University Calendar.
• The final corrected thesis must be electronically submitted to the ETD site by the ETD format check submission deadline as stated in the University Calendar. The final document must be electronically approved by the Thesis Committee.

Accelerated Bachelors to Masters (ABM)

Degree requirements: 30 credit hours.

In accordance with SACSCOC requirements, 120 unique credit hours are required in a Bachelors degree program, and at least 30 unique credit hours are required for a Masters degree program. The MSIT -ABM program combines 124 hours from the BSIT program and 30 hours from the MSIT program , exceeding the required 150 unique hours between undergraduate and graduate degree programs by 4 hours. The Jack N. Averitt College of Graduate Studies Handbook for Program Directors and Graduate Advisors permits a maximum of 9 shared credit hours between the undergraduate and graduate degree programs. Therefore, BSIT -ABM students may share a maximum of 4 credit hours of graduate level courses (5000G) in satisfying the requirements of both degree programs.

For regular admission to the Accelerated Bachelor’s to Master’s of Science in Information Technology (ABM-MSIT) degree program, the applicant must have:

• Enrollment as a current Georgia Southern undergraduate student majoring in Information Technology.
• Completed at least 45 credit hours completed in the undergraduate program; including the courses MATH 1111   , COMM 1110   , STAT 1401   , IT 1130   , and IT 2333   , each with a grade of C or better.
• A 3.0 (4.0 scale) cumulative GPA or higher in undergraduate coursework.

ABM programs do not allow provisional admission. ABM programs are designed for students who have demonstrated a high level of undergraduate academic performance that validates their ability to be successful graduate students. Students who do not meet the minimum requirements for regular admission may be granted admission to the program upon approval of an admissions committee consisting of at least the Department Chair and the Graduate Program director.

ABM Degree Requirements: 30 Credit Hours (Thesis & Non-Thesis)

• A student in the ABM program will be allowed to use up to 4 credits of upper division IT courses offered within the Information Technology program in meeting the requirements of both a bachelor’s degree and a master’s degree.
• Maintain a cumulative graduate GPA of 3.0 (grade of “B” or better) in their graduate degree course work (including the 4 credits of graduate course work shared with the undergraduate degree).
• Meet all requirements for both the BSIT and MSIT degrees.
• An undergraduate student enrolled in graduate classes is limited to 6 credit hours of graduate coursework per semester.
• A minimum of 50% of courses for the Master of Science in Information Technology degree must be taken at or above the 6000 level.

General Requirements

Graduate students are advised by their program. Graduate students should reach out to their graduate program director for information regarding the structures in place to facilitate advisement. For more information visit  Graduate Academic Advisement   .

Graduate students can also contact the Jack N. Averitt College of Graduate Studies for more information about their program director. Phone: 912-478-COGS (2647) Email: [email protected]

• MS in Computer Science

Master of Science in Computer Science

The Master of Science in Computer Science program is offered at the University of the District of Columbia's Van Ness (main) campus. The program is tailored to meet the needs of traditional domestic and international students as well as working professionals in the greater Washington DC area. The program emphasizes a practitioner-oriented curriculum which includes advanced algorithms, network security, artificial intelligence, computer graphics, image processing, software systems, and database. For the MSCS degree program, it offers a thesis option and a non-thesis option. The doctoral program only provides a thesis option.

MS in Computer Science - Student Outcomes

• Analyze the properties of algorithms, software, and/or computing systems using the theoretical underpinnings of Computer Science
• Design a computing-based solution and software that contributes to large, multi-layered/multi-machine systems
• Analyze and design software to solve complex and/or open-ended real-world problems by employing intelligence and learning
• Develop viable solutions to solve current and emerging problems in multiple fields of Computer Science

Program of Study

• Entering in Spring 2020

The program offers a thesis option and a non-thesis option . Students in both options must take four graduate computer science (CS) core courses. Students who wish to write a thesis take four graduate CS electives and sign up for 6 thesis credits (counts as two graduate electives) whereas students in the non-thesis option must take six graduate CS electives. One of these six electives can be CSCI 599 Master's Project. Students in the thesis option must find a thesis advisor in the department based on their interests in order to comply with the thesis submission requirements of the UDC Graduate School [ see guideline ]. Students in the non-thesis option also need to find a faculty member (project advisor) to do a special project and submit a final MS project report to the project advisor at the end. The course of study is as follows: 30 credit hours are required for graduation - four required CSCI core courses and six electives. In addition, students who are inadequately prepared in computer science but who have been admitted into the graduate program will also need to take up to 4 background courses in computer science. For taking background courses, students need to have a consulation with the MS program director. [Thesis Option] Students enrolled in the thesis option will need to do a thesis defense. For preparing the thesis, students must follow the requirements of the Graduate School. Thesis defense needs to be announced to public at least a week prior to the thesis defense date. [Non-Thesis Option] Students who elect to do a project must consult with their project advisor on project submission requirements.

IMPORTANT POLICY

• A graduate student with a cumulative GPA below 3.00 will be placed on academic probation.
• Notwithstanding the cumulative GPA requirement, a graduate student who has earned two grades of C cumulatively will be placed on academic probation.
• A graduate student on academic probation, who earns a term GPA below 3.00, will be dismissed. Notwithstanding the cumulative GPA requirement, a graduate student who earns a third C or a grade of F in any course will be dismissed.
• Undergraduate courses taken by graduate students are not included in the computation of graduate GPA, nor are they counted toward degree progress. However, a graduate student, who earns a grade below C in an undergraduate course, will be placed on academic probation.

Graduate Course Load Limitations

• Graduate students can take the maximum course load of 12 credit hours per term. Students on academic probation are limited to 9 semester hours or less. In applying the course load limitations, the University counts audited courses as a part of the student’s course load; however, for regulations that require full-time status, audited courses are not counted as part of the course load.

Our program reputation in Public

Frequently Asked Questions (For the MSCS program)

How do I apply for MSCS program?

Application instruction can be found in the university catalog. Please check the website at http://www.udc.edu/admissions/graduate_students

How the application materials are reviewed and how decisions for admission will be made?

Applications will be reviewed and discussed by graduate committee members before decision of admission is made. The committee's recommendation will be forwarded to the Admission's office. Final admission's letter is issued by the Admission's office.

Do I need TOFEL score? What is the minimum score?

International students whose native language is one other than English must take the Test A minimum score on the Test of English as a Foreign Language (TOEFL) 1) Paper and of English as a Foreign Language (TOEFL), www.TOEFL.org. This requirement will be waived upon the submission of an official college transcript evidencing the successful completion of two college-level English courses at an accredited American college or university. Pencil Test - 550; 2) Computer-Based Test - 213; 3) Internet-Based Test - 79; degree earned in an accredited American college or university.

Do I need GRE? What is the minimum score?

Yes. As part of university admission requirements, you must take the Graduate Record Examination (GRE) as well as GRE Analytical Writing Subtest as a requirement of admission. The minimal acceptable score is a 4.0. Students failing to meet the respective criterion score may be admitted conditionally. If admitted conditionally, a student must enroll in and pass (with a grade of B or better) the University's graduate writing proficiency course during their first semester of enrollment.

Can I apply before taking TOFEL and/or GRE?

Yes, you can submit your application without official score. However, your application will not be approved before your application package is completed.

What if I do not have a BS degree in Computer Science?

You can still apply for MSCS program. However, when you are admitted and enroll, you are required to take background courses in CS before you can take other classes.

What are the application deadlines?

University Deadlines for Fall Admission: - International students: Mid-May - Otherwise: Mid-June

Can I apply for summer term admission?

Currently we only offer master's project and thesis credits in the summer. And these are for students who have already taken some courses. If you are an international student and need to enroll during the summer, please contact us.

Is there assistantship? And how do I apply for one?

Please refer to the assistantship information.

Am I qualified for financial aid? And how do I apply for one?

Please refer to the university catalog.

What the job placement is like after graduation?

Some of our past students are working professionals at the time of enrollment. For the ones that were fulltime students they received job offers before or upon graduation or continue to pursue higher degree. Washington DC metro area is one the areas in the nation with high employment rate.

Required Major Courses

GRADUATION REQUIREMENTS

The MS in Computer Science program requires completing a total of 30 credit hours of college-level courses in order to graduate. Students must obtain a grade of B or better and must have an overall grade point average of at least 3.0.

*This graduation requirement will be determined depending on when you begin studying the degree program at UDC. For further detail about the graduation requirement, students should contact their academic advisors or the graduate program director.

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Information Technology Dissertation Topics

Published by Owen Ingram at December 29th, 2022 , Revised On March 23, 2023

Information technology stands out as one of the latest discoveries of the twenty-first century. According to researchers, technology is currently undergoing an era of transformation. Yet, despite all the hype, many students struggle to figure out a topic for their degree in Information Technology.

Nonetheless, we are right here to direct our students and show them a ray of hope. A comprehensive list of advanced dissertation topics in the field of information systems is provided below for students to pick a topic that suits their interests and research.

Related Academic Resource: Business Information Technology Topics , Technology Dissertation Topics , Green Technology Dissertation Topics

List of IT Dissertation Topics Having Potential for Research

• A literature analysis on the information quality management framework
• A comprehensive investigation of the information system hierarchy
• Big data and business intelligence are essential for sustainable development in organisations: Discuss a UK-based perspective
• Correlation between Information systems management and risk management infrastructure to achieve business risk resilience
• Impact of the Coronavirus on the management of X country’s information systems
• The function of structured versus unstructured data in managing information systems
• A review of the literature on business intelligence management and information systems
• Pre- and post-COVID analysis of the impact of information systems on organisational performance
• Implementing IT governance and managing information systems
• A descriptive overview of IS strategic planning and management services
• A review of the literature on international information system security
• Information systems management historical analysis focusing on the last three decades
• The part that planning, alignment, and leadership play in information systems management
• A systematic review of the post-COVID era for information systems management research
• Difficulties and possible challenges in the International Management of Information systems
• A thorough analysis of information policy and global information systems management
• How to handle data management in the era of 5G technologies?
• Human-computer interaction’s effect on innovations
• How does machine learning introduce students to more modern career opportunities?
• Consider the use of molecular information systems in biotechnology
• How has information technology aided in the processing of natural language?
• What are the most recent advancements in software engineering and programming languages?
• An examination of new potential in the robotics industry.
• What factors should I take into account while buying a bandwidth monitor?
• How do we develop an efficient clinic management system for intensive care?
• Reasons why e-waste management solutions should be used worldwide ASAP
• Motives for why cyberbullying persists in modern communication technologies
• Interpersonal communication has changed as a result of the development of information technology
• The effect of 3D printing on medical practice
• How well do colleges and universities produce qualified computer scientists using robots in infectious disease units?
• How ethical hacking has become more harmful
• Why having specialised financial systems is important
• What is the best security precaution: A fingerprint or a serial number?
• How to strengthen patent protection for technical advances?
• An overview of the many software security measures.

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• October 15, 2023
• Academic Advice

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

UOTP Marketing

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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Master of Science in Information Technology

• College of Computer Studies
• Graduate Degree Programs

The Master of Science in Information Technology (MSIT) program is a two-year postgraduate course designed to equip students with knowledge and skills needed to become organizational and societal leaders who will acts as agents of change through the planning, development, and implementation of technology-based solutions. In the course of the program, students develop a rigorous understanding of organizations (business, government, as well as other organizational forms) along with deep technical skills. In this way, they are trained to be leaders who can harness ICT’s transformational role and bridge issues in the domains of both organizations and strategy.

The program seeks to connect and balance theory and practice. Students engage with relevant theories, and subsequently develop these further and apply these to real-life problems and issues. This is done in order for students to craft solutions that are meaningful and capable of addressing society’s complex problems. Program candidates are expected to understand and manage IT as multidimensional, socially shaped, and hence, often unpredictable. They are trained to develop critical thinking skills that are capable of embracing issues that are multifaceted and ambiguous. Candidates are also empowered to grasp and address the ethical dimensions that often underpin IT issues.

Admission Requirements

Degree requirements, academic program components.

The program accepts applicants who have a Bachelor’s degree in Computer Science or ITE allied fields and one year of IT-related work experience. Other Bachelor’s degrees may be considered on a case-to-case basis.

• Applicants may be required to take remedial courses depending on their degree or courses they have taken up during their Bachelor’s degree.
• Since the program will be administered in English, students are expected to demonstrate a strong grasp of the language. Applicants may be required to submit their TOEFL results.

The MSIT degree is obtained primarily through supervised research. It is awarded upon fulfillment of the following requirements:

• completion of all academic courses
• pass the oral comprehensive examination
• submission of a thesis based on an independent, original research
• successful defense of the thesis
• publication in a reputable refereed scientific journal or Scopus-indexed CS conference
• fulfillment of residency and other University requirements

Remedial/Bridging courses (18 units)

• Project Management and IS Development
• IT Resource Management
• Basics of Databases
• Basic Programming
• Advanced Programming
• Introduction to Software Engineering

Foundation courses (12 units)

• Programming Languages and Advanced Databases
• Network and Data Communication and Computer Architecture
• Economics of Technology Management
• IS Theory and Practice

Specialized courses (6 units)

• Organizational Innovation and Change Management
• IT Ethics and Leadership

Elective courses (9 units)

• Work Transformation and Organizational Productivity
• Innovations and Technology Development
• Development Informatics
• Healthcare Informatics
• Introduction to e-Governance
• Informatics, Shared, and Collaborative Systems

Methods of Research (3 units)

Thesis Writing and Defense (6 units)

Total: 36 units

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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
• 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.

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%).  

Summary of requirements and procedures for a master's thesis project at the department of information technology of Uppsala University.

This information relates to a 30 credits "D or E"-level (master's) thesis project. There are also other kinds of thesis projects with different (lower) requirements.

A master's thesis project is a course - with examination - not an internship or other work practice. For this reason it is important that everyone connected with a thesis project are aware of the requirements so that there will not be problems at the conclusion of the project.

The master's thesis project is the final part of a four to five year long undergraduate study program. During the project, the student should demonstrate that he/she can apply the knowledge acquired during the study program. Problems and solutions should be treated in a scientific manner. The project should involve additional study in some subject area. It is important that the student studies relevant (scientific) literature as well as any related work. The project should conclude with an extensive analysis of the project itself and its results. Again note that in Sweden, a master's degree is an undergraduate degree, so the student is not expected to do original research (although that is certainly allowed). The total effort of the thesis project - including writing the report - should be about 20 weeks of full-time work.

Formally, the goal of the master's thesis project is "to give the student training in planning, carrying out and presenting an independent piece of work and to provide contact with research and development."

This means that not all projects are suitable as master's thesis project. Projects primarily involving implementation (program design/coding/testing/debugging) work are not generally acceptable as master's thesis projects. (Although sometimes an implementation project can be made acceptable by including suitable design issues.) As a rule of thumb, not more than a third of the project should be implementation work. If the implementation presents particular challenges which are connected to the subject of the thesis project, then up to half the effort may be implementation. Also, projects where the student is continually working from instructions is also generally not acceptable as the student should carry out independent work. If the student is studying for an engineering degree, there is the additional requirement that the subject of the project should be relevant from an engineering point of view.

The thesis project is typically carried out in a company or other organization outside the university. Every thesis project has a supervisor and a reviewer, to be appointed before the work begins. The supervisor should be competent within the subject area of the project and should belong to the organization where the project is carried out. He/she is responsible for the day-to-day supervision of the student. The reviewer is typically a faculty or other scientific staff member at Uppsala University. The reviewer should follow up on the project at regular intervals and is responsible for the grading (pass/fail) of the thesis.

The thesis project is initiated by the student writing a thesis specification with the assistance of the supervisor. The specification (typically 1½-3 pages in length) should include a description of the proposed work, background, methodology and expected results as well as a time plan.

The project specification should be approved by the reviewer before any work begins. Usually, there will be a few revisions of the specification before the reviewer is satisfied.

The student shall write a report of the project. It is usually best to start writing early and write incrementally as the project proceeds, as the authoring effort is often underestimated! The report should include the following:

• An abstract
• Background information so that a person trained in the general subject area (e.g. computer science, numerical analysis...) but without specialist knowledge of the subject of the thesis can understand it (at some level).
• A description of the problem
• A description of the methods used to solve the problem
• A description of the solution itself
• An analysis of how well the problem was solved
• If the problem could not be solved completely, a description of the probable reasons.
• A critical analysis of the work itself
• A comparison with other work on similar problems.

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221 Interesting Thesis Topics for IT Students

Did you know that one of the most important parts of writing your dissertation is finding the best topic possible? You are probably having serious problems finding a topic for your thesis. After all, the thesis topics IT students are looking for are pretty rare. The reality is that in the IT field, most topics have already been written about. There are few things left to write it seems. Well, things are a bit different. We are here to assure you that you can find thesis topics for IT students. Also, we want to assure you that it is not at all difficult to find an interesting topic that you can write an engaging paper about. We will provide you with 21 such topics shortly. College students can use our topics for free; we are very happy to help!

Writing Your Thesis and Looking for Dissertation Topics?

• Why Thesis Topics for IT Students Are Important?
• Fresh Dissertation Topics for You

Best IT Thesis Topics in Artificial intelligence

Exceptional it thesis topics in computer science and engineering, refreshing it thesis topics in communication and media, top it thesis topics on food technology, thoughtful it thesis topics on technology and human identity, top it thesis topics on pharmaceutical technologies, it thesis topic ideas on energy power technologies, it thesis topics on medical devices and diagnostics, it thesis topics on biotechnology, more interesting it thesis topics for you, need more it dissertation topics.

As you are probably already aware, the IT field is advancing rapidly. Advancements are made almost daily in technology, including information technology. This is why so many students are looking for fresh 2022 dissertation topics. They want to write about the latest technologies and the latest gadgets. Of course, one can go online and find various 2022 thesis topics IT students would find impressive. You will probably find some that are relatively decent. But be aware that the evaluation committee will most certainly not be impressed by decent topics. They want something new. They want something that can pique their interest. They want to LEARN something from you. And they want to award you with some bonus points. Why not take them?

Why Thesis Topics for IT Students Are Important

Did you ever wonder why so many people dedicate so much time to finding a great topic? Probably not. Let’s shed some light on this. College students are looking for IT dissertation topics because they want bonus points. The topic is the first thing the evaluation committee sees. It is the most important part of your paper. As such, it must be interesting, engaging, and also helpful. It must show that you have put in the effort to write the dissertation. Awe the admission committee and you will surely get bonus points. Even if your dissertation is not the best, you will still get a good score if the topic you choose is exceptional. But engaging IT dissertation topics are difficult to come by. Most of your classmates have already picked the simple ones. But you are not like the rest of your class, are you? You want to be original and you want to make a lasting impression on the professors. This is why you need to take a look at our fresh dissertation topics.

21 Fresh Dissertation Topics for You (Absolutely Free)

Without further ado, here are the 21 thesis topics for IT students that we think are the most interesting and engaging:

• Conducting virtual business in the era of 3D Internet – the business of the future
• Analyzing e-tourism services in the UK: Factors that Influence Customer Satisfaction
• Mobile government applications and their benefits
• Producing believable emotions using AI systems for e-commerce
• The future of YouTube and multimedia distribution platforms
• Analyzing the impact of media technology on child development throughout the school
• Integrating an ERP system with a cloud service
• Developing a tool to analyze keystrokes and use the data for password security
• Analyzing critical vulnerabilities of the Android mobile operating system
• Analyzing the impact of e-publishing on libraries (one of the best thesis topics for IT students)
• In-depth analysis of the fault-recovery and redundancy in modern 4G mobile networks
• The impact of full-text databases on Google as a search engine
• Creating software capable of reading human emotions using a webcam
• How effective is face recognition as a security measure?
• Analyzing critical security vulnerabilities in IT systems used at the government level
• Does curbing software piracy in developing countries have any negative results?
• Using BitTorrent systems for faster multimedia delivery and playback
• How safe are whistleblowers operating on the Dark Web? (one of the thesis topics IT students are usually reluctant to write about)
• Building a Dark Web crawler that indexes onion sites based on specific criteria
• Creating a modern Tetris game in C# using OpenGL
• The advantages brought by mobile working to IBM and its employees

If you want to write a relevant research topic, consider writing about Artificial intelligence topics (AI). AI is a relevant phenomenon, and here is a look at some ideas of artificial intelligence that you should look into.

• Is deep learning an effective way of dealing with deep learning?
• How do artificial neural networks affect deep learning?
• Discuss the areas of life machine learning that are most influential.
• Ways to select the best algorithm for machine learning.
• How does NASA use robotics?
• Discuss the process of using natural languages to create a unique language.
• How does artificial intelligence affect computer vision?
• Compare and contrast the effects of supervised vs. unsupervised machine learning.
• The effects of reinforcement machine learning algorithms.
• Model-based vs. Model-free reinforcement learning algorithms.
• Deep learning as a subject of machine learning.
• Comparison between single vs. Multi-agent reinforcement learning.
• Ways that the social robots interact with the humans
• How do chatbots aid in the natural language processing system?
• Five ways of computer vision application.
• What is the recommended systems approach?
• What is the interconnection of the Internet of things and artificial intelligence?
• What amount of data is generated by the Internet of things devices?
• Compare and contrast content-based recommendation vs. collaborative filtering.
• What makes the collaborative filtering system stand out?

Computer science and engineering combine two different yet interconnected worlds of machines. The use of computer science uses the computer’s brain. It is, in most cases, used to include areas of studies like programming language and algorithms. Here is a list of research topics in computer science and engineering that you can use.

• In what ways is the virtual and human perception connected?
• What is the future of computer science-assisted education?
• What are computer science and high-dimensional data modeling?
• The imperative vs. declarative languages.
• Explain the use of blockchain and AI algorithmic regulations.
• How has blockchain technology impacted the banking industry?
• In what way does machine architecture use to affect the efficiency of code?
• What are the languages of parallel computing?
• Explain the way that mesh generation is used for computational domains.
• The cyber-physical optimization vs. the sensor networks.
• Explain the development of computer graphics in a photorealistic rendering case.
• What are game theory and network economics?
• What are the most effective cryptographic protocols?
• An overview of the software security types.
• It is possible to eliminate phishing.
• Floating point and programming language
• In what ways is the mesh generation used for computational domains?
• How to get the persistent data structure optimization
• In what ways does computer thinking affect science?

One of the first areas that technology affected was communication. With technology, media is used for social interactions, business development, and educational purposes. Here are exciting ideas to use when researching your IT thesis paper.

• What is the impact of ethics on communication?
• How the development of communication through the computer has evolved in the past decade.
• In what ways has social media impacted communication?
• What role do media play during a disaster? Does it increase panic or help in reducing it?
• Compare and construct the authority’s media presence in different countries.
• Will people start preferring newspapers to new media again?
• In what ways has the Internet changed media?
• Discuss communication networks.
• What impact do social media have on super bowl ads?
• What are the new content marketing ideas?
• What is the impact of media exposure on adolescents?
• In what ways do people use hype in the media?
• Discuss the media and freedom of speech.
• Is it possible for people to build trustful relationships in virtual communication?
• What measures can you put to maintain privacy on social media?
• In what ways have computers changed interpersonal communications?
• What is yellow journalism in new media?
• In what ways do enterprises use ICT to get a competitive advantage?
• Is it possible to live without mass media?
• What are the impacts of mass media and morality in the 21st century?

If you are searching for a qualitative research topic about technology in the food industry, here is a list of ideas you can use.

• What are the machines used in the food industry?
• In what ways do robots improve safety in butcheries?
• 3D printing and the food industry.
• Is 3D printing the best solution to offer people with swallowing disorders?
• About drones and precision agriculture.
• In what ways does robotics help in creating eco-friendly food packages?
• Is micro packaging the future?
• Research on the development of edible cling film.
• The solution that technology has to food waste.
• How do preservatives and additives impact the human gut microbiome?
• Physicochemical levels the effect of citric acid on orange juice.
• Compare and contrast vegetable oil in mass production.
• Time-temperature indicators and food industry.
• Farming: hydroponic vs. conventional farming.
• How is food safety a policy issue in agriculture today?
• Ways you can use to limit the detection of parasites in food.
• How is the baking industry evolving?
• How technology is used to eliminate byproducts in edible oils production
• About cold plasma and biofilm.
• Ways to extract good antioxidant peptides are extracted from plants.

The ethical issues surrounding the enhancement technology are intertwined with the questions of human identity and the proper trajectory of human life. Here is a list of thesis ideas you can use in your research.

• Does technology make human life worth living than animal life?
• The dignity of human life concerning technology explained?
• In what ways should humans be observed in informational technology?
• Should tech and scientific investigations on humans have a limit?
• What is the importance of DNA information in forming our identity?
• Is Ancestry DNA testing important?
• Explain multi-racial identification.
• Can scientific investigations tell us what self-care is?
• In what ways will virtual reality technology change us?
• Should there be a limit on the research in virtual reality? The possibility of virtual reality being the future.
• What are the benefits of using virtual reality technologies?
• What is the importance of finding alternative treatments for mental illness other than drugs?
• Has the increase in technology affected the rise of mental illness?
• Ways technology can be used to control addiction.
• Pros and cons of using technology to control brains.
• 7 social dangers of the brain controlling technology.
• Does science dictate who we are?
• What has led to the increase in mental illness among tech enthusiasts?
• Can tech-related mental illness be cured?
• What is the relationship between technology and drug addiction?

Companies are using technology to search for ways they can use it to reduce costs and boost effectiveness by doing pharmaceutical technology research. Impress your lecturer by choosing one of the research topics discussed below

• What is the effectiveness of medical therapy management?
• Explain how prior electronic authorization is a pharmacy technology trend.
• Explain the medical therapy management and the health information exchanges.
• How can electronic prescribing reduce the possibility of drug abuse issues?
• Ways that pharmacists help with meaningful tech use.
• Discuss various pharmaceutical technologies.
• Pharmaceutical technology research.
• What are specialty medications?
• Vaccines for AIDS: can it be developed?
• Ways that the prescription drug monitoring program works.
• How do specialty pharmacies use NCPDP?
• Why are patients interested in real-time pharmacy?
• Phenotypic screening research.
• Impact of ERP with pharmaceutical company’s analytics.
• Pharmaceutical technologies: data security.
• About DNA-encoded library technology.
• Pro and cons antibiotics vs. superbugs.
• How does the body-on-a-chip approach be used for personalized medicines?
• Modern cannabidiol medicine and pain management.
• What is the future of cannabidiol medicine?

It is not possible to have a technology process without energy. That is the reason that scientists are always looking for ways they can improve energy power technologies. So, if you are looking for thesis topics you can use to impress your lecturer, here is a list of power technology research you can use.

• Ways that fuel cells can be used for the generation of stationary power.
• Compare the energy density of lithium-ions and lithium-air batteries.
• Gasoline vs. Lithium-air batteries.
• The pros and cons of renewable energy use.
• How does the UAE use nuclear power?
• Research on India power installation.
• Increase in gas prices and alternative energy sources.
• How can hydrogen energy be used to transform the methods or energy?
• Is hydrogen energy the future?
• About the thermal storage and AC systems.
• In what ways can you use load balance using a smart grid?
• How can distributed energy generation optimize power waster?
• Is the smart energy network a solution to climate change?
• What is the future of tidal power?
• What is the possibility of 3D printing micro stirring engines?
• In what ways can robots be used to adjust the solar panel weather?
• Explain advanced biofuel and algae.
• In what ways can photovoltaic glass be fully transparent?
• Compare the different third-generation biofuels.
• Is space-based solar power a myth or the reality of the future?

The innovation of medicine and technology helps to improve life expectancy. If you feel that saving lives is your purpose, here are some thesis topics you can use in your research paper.

• The effects of robotic surgeries.
• Explain defibrillator & cardiac resynchronization therapy.
• How smart can inhalers be used as a new solution to asthma treatment?
• Genetic counseling: ways of preventing diseases.
• What are the benefits of electronic medical records?
• How is Erythrocytapheresis used to treat sickle cell disease?
• The reason that drug-eluting stents fail.
• An overview of the dissolved brain sensors.
• What are the benefits of 3D printing for medical purposes?
• How soon will it be possible to create an artificial organ?
• Research on wearable technologies in health care.
• Precision medication based on genetics.
• The importance of using virtual medicine devices for educational purposes.
• Research on the development of telemedicine.
• How is technology impacting cancer treatment?
• Is genome editing safe?
• How is the electronic diagnosis tool evolving?
• Brain-machine interface, the future.
• How does the use of wireless communication help medical professionals in hospitals?
• Ten ways wearable technology impacts the medical industry.

The development of biotechnology allows people to cure diseases and help with new machines. Here are some ideas of interesting topics you can use for your biotechnology thesis research.

• Ten impacts of biotechnology in farming.
• How does biotechnology lead to a self-sufficient protein supply?
• Evapotranspiration vs. Evaporation.
• DNA cloning and a Southern blot.
• How are personalized drugs made?
• What is pharmacogenetics?
• Is cloning playing God?
• How is pharmacogenetics used to get cancer medicines?
• Is it possible to control our genetics?
• How much genetic control do humans have?
• Based on genetics, at what point do we cease to be human?
• Research on bioethics and stem cells.
• Definition of genetic engineering.
• Gene therapy and genetic engineering.
• Ten benefits and risks of genetic engineering.
• How does plant genetic enhancement help preserve scarce plants?
• South Africa Y-chromosome genotyping.
• Ways technology is used in the creation of new vaccines.
• How does Nanotechnology help in treating HIV?
• An overview of Genes in heavy metal tolerance.

Your IT thesis does not have to be boring. Here is a list of interesting thesis topics that will impress your lecturer.

• Ways that you can eliminate heat-resistant microorganisms with ultraviolet light.
• In what ways can pesticides be used to diagnose cancer?
• How can the smeller nuclear reactors be more efficient?
• An overview of renewable energy technologies.
• Explain electronic use in the food industry and agriculture.
• The harm of polyphenols in food.
• Hope for anticancer nanomedicine.
• Does increasing military technology make use safe?
• What is the importance of military research?
• In what ways can technology be used to gauge intelligence?
• In what ways is Google search changing us?
• Blogs vs. books.
• How is teaching IT research skills important today?
• Should parents and schools encourage or discourage social media?
• Does Google affect the attention span of young people? What is the borderline in hardware and software cloud computing?
• What will be the impact when everything moves to the cloud?
• How will virtual reality change education?
• If the computer takes over most of our tasks, what will humans do?
• What will computer language be important in the future?
• What are the benefits of robots in health care?

Of course, there are dozens of other thesis topics on which students could write a paper. Some companies specialize in providing college students with entire lists of topics on a specific subject. You just need to contact an online academic writing company and tell its writers what you need. These people have extensive experience in the IT industry and have probably written dozens of dissertations. They can help you with more dissertation topics. And the best part is that some of these online services are quite affordable. An exceptional topic is worth the money – guaranteed!

Are you stuck with writing your thesis? Just enter promo “ mythesis ” – that’s all you need to get a 20% discount for any IT writing assignment you might have!

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Dissertations for Information Technology

Abdulrab, shathi, the impact of culture on information technology adoption in yemeni universities, akoma, ahunna margaux, decision-making, information communication technology, and data analysis by school leaders about student achievement, almasri, rana, the use of mobile technology in education by international students in united states universities: perceptions regarding mobile applications for english language learning, alrushiedat, nimer khalaf, anchored asynchronous online discussions: facilitating engagement, collaboration, social learning, and self-efficacy in a blended environment, alvarez xochihua, omar, a mixed-response intelligent tutoring system based on learning from demonstration, anastasiade, jordan v., instructional strategies for developing problem-solving skills: the worked-example effect using ill-structured visual pattern recognition problems, anderson, timothy r., the viability of a software tool to assist students in the review of literature, badawood, ashraf mohammad, a systematic approach to faculty development toward improved capability in tertiary teaching in a blended learning environment, bakke, christine k., perceptions of professional and educational skills learning opportunities made available through k-12 robotics programming, ball, albert l., a comparison of users' personal information sharing awareness, habits, and practices in social networking sites and e-learning systems, barnes, brenda c., use and acceptance of information and communication technology among laboratory science students, bernacki, matthew, the influence of self-regulated learning and prior knowledge on knowledge acquisition in computer-based learning environments, bledsoe, johnny mark, a quantitative study of factors related to adult e-learner's adoption of web 2.0 technology, boileau, timothy, the effect of interactive technology on informal learning and performance in a social setting, bonner, david m., a study of the technological, instructional, and motivational factors affecting phr certification exam outcomes, bowers, kevin westmoreland, constructing the new classroom: college student perceptions of classes using second life, brennan, william vincent, school principals and virtual learning: a catalyst to personal and organizational learning, broberg, loretta l., a grounded theory approach to examining design and usability guidelines for four-year tribal college web sites, brock, martha anne, the effectiveness of distance education for computer application software instruction versus the cost of development and implementation, bush, michael h., digital course materials: a case study of the apple ipad in the academic environment, sign in or register, sign in using email & password.

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MS in Information Technology in the Philippines

• Read about the MS in Information Technology course: Start reading >>

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Program overview.

The Master of Science in Information Technology (MSIT) is a two-year graduate program that introduces students to advanced theoretical and practical aspects of information and communications technology. The program teaches concepts, techniques, and principles in information technology and further develop skills in providing IT solutions to the problems encountered by organizations and companies. Special topics like business analysis, process engineering, systems correctness, and performance are discussed.

Recommended Undergraduate Program

Students who wish to pursue a graduate degree in the Master of Information Technology should have an undergraduate degree in the information technology field. However, students who do not hold an undergraduate program in that field but still wish to pursue the program are encouraged to take at least 18 units of courses in the relevant fields.

Subjects and Curriculum

• Information System Theory and Practice
• Computer Architecture and Operating Systems
• Networking and Data Communication
• Programming Languages and Data Structures
• Advanced Database Systems
• Research Methods

Admission Requirements

Qualifications

The student must have an undergraduate degree relevant to the program

An applicant with a degree not in line with the information technology field may still be admitted to the program as long as they take the pre-requisite courses. However, some colleges and universities admit any bachelor’s degree holders. 

The student must pass the Graduate Admissions Test of the university

Basic Requirements

Undergraduate Transcript of records (Original and Photocopy)

Recommendation letters from former professors, deans, or colleagues

Letter of intent

Most recent medical and dental health record

Copy of NSO Certified birth certificate

Copy of undergraduate diploma

(1) Latest 2”x2”ID Picture

Program Outcome

Graduates of MS in Information Technology are expected to be able to:

• Demonstrate a comprehensive understanding of the broad themes in Information Technology
• Use and apply current technical concepts and practices in the core information technologies of networking, data management, software engineering, computer security.
• Demonstrate a deep understanding of the IT methodologies and frameworks used to solve complex computing problems related to at least one IT Body-of-Knowledge
• Identify and analyze user needs and take them into account in the selection, creation, evaluation, and administration of computer-based systems.
• Effectively integrate IT-based solutions into the user environment.
• Developed and implement optimal solutions to complex computing problems using industry-recognized best practices and standards.
• Apply ethical decision making in the development, implementation, and management of IT systems

The MS in Information Technology does not have a board examination. However, graduates may opt to take the Civil Service Examination (CSE) conducted by the Philippine Civil Service Commission (PCSC) to qualify in working in government offices. Some graduates opt to take a Doctorate degree to further gain expertise in the industry. 

Career Opportunities

Graduates of MS in Information Technology may pursue a career path in IT firms and corporations, government agencies, or private institutions. They may apply as system analysts, consultants, project managers, or developers.

Reviews of MS in Information Technology graduates:

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• Master in Information Technology

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