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• M.S. in Biomedical Engineering

Academic Advisor: Max Roman

• Graduate Catalog »
• Newark College of Engineering »
• Biomedical Engineering »

Program Requirements

Thesis option, non-thesis option, ms curriculum mandatory courses.

1. Admitted students who have not previously taken an upper level physiology course will be required to take BME 669 Engineering Physiology or an equivalent course as one of their required graduate courses.

2. In addition, students must meet a statistics requirement. They may choose one course from the following preapproved statistics courses: MATH 660 Introduction to statistical Computing with SAS and R , MATH 661 Applied Statistics , MATH 663 Introduction to Biostatistics , IE 604 Advanced Engineering Statistics .

All graduate students must additionally select five courses from the following list:

Elective Courses

The remaining three courses can be selected from any of the BME courses offered. For students taking the MS Thesis Option, two semesters of thesis count as two elective courses.

Other Notes

Students may take up to two courses outside the department, including the statistics course.

M.S. students are required to register for the 0 credit graduate seminar in each of a minimum of two semesters. This is a non-additive credit (i. e. it does not count toward the 30 required credits), however participation in the seminar is required for graduation. Graduate seminars are offered weekly during the semesters and include guest speakers as well as NJIT graduate students. The Department also maintains lists of seminars in other departments and in neighboring institutions that are of interest to biomedical engineering. Part-time graduate students may request a waiver of this requirement.

Thesis Requirement

The Thesis Option requires a six (6) credit thesis. Because biomedical engineering exists at the intersection of several traditional engineering and computing fields, and the biological and medical sciences, the thesis demonstrates the student's ability to define a problem, plan two semesters of independent work in an interdisciplinary environment, and execute a research and/or design that meets NJIT's standards for a Masters Thesis. The thesis document conforms to the format of the Office of Graduate Studies and is evaluated by a committee of three members, two of whom must be from the NJIT biomedical faculty. External members from industry, medicine or other universities are encouraged. An oral defense before the committee and the departmental community is also required. All NJIT theses are archived in the University Library and are available via the Library's web site.

Thesis topics are selected by the student in consultation with faculty and other potential advisors. Thesis content can include a research study, the development/design of new technology including software, or the design, execution and evaluation of an experiment. A thesis may be conducted in an NJIT laboratory or in another institutional or industrial facility. The individual nature of the work must be clearly identifiable, as should its novelty and importance to biomedical engineering.

In cases where the intellectual property of an industrial sponsor may be in conflict with the public presentation of the thesis or its availability through the NJIT Library, special arrangements can be made by the M.S. Program Director to protect the firm's property.

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Department of Data Science

• Graduate Programs

M.S. in Artificial Intelligence

Apply Now  |  Request Info

This program is also available at Jersey City .

• Calculus I and II (equivalent to the NJIT courses Math 111 and Math 112)
• Introduction to Programming (equivalent to the NJIT CS 100 course)
• Basic programming constructs, writing and debugging programs, iteration, recursion, arrays, lists (equivalent to NJIT CS 113)
• Data Structures and Algorithms (equivalent to the NJIT CS 114 course)
• Probability and Statistics (equivalent to the NJIT Math 333 course)
• Linear Algebra (equivalent to the NJIT Math 337 course)
• Design and build custom AI models using a general-purpose programming language (Python) and frameworks such as Tensorflow and PyTorch.
• Design and develop software in the form of scalable AI software architectures and APIs.
• Process and analyze a variety of data in different formats including text, images, audio, videos, and time series data.
• Formulate complex problem statements and solve them using specific AI models. 
• Present AI applications and methodologies effectively and clearly. 

International Students

International students will have to take TOEFL and GRE exams and meet the minimum requirements for admission to graduate programs at NJIT as per the NJIT policy. 

Federated Department of Biological Sciences

Master of Science in Biology

The Master of Science in Biology is designed to provide students with advanced knowledge of both plant and animal biology and microbiology. The program requires successful completion of a minimum of 30 credits of graduate-level courses. Students are expected to maintain a grade point average of 3.0 and are required to complete a minimum of one 3-credit course in four of the following five core areas:

• Cell Biology/Biochemistry       
• Molecular Biology
• Computational Biology
• Ecology/Evolution
• Plant Biology ·

A partial list of course offerings in each of these areas can be found below. To complete the degree requirements, students must either complete a thesis based on laboratory or library research. ·

Admissions Requirements

Applicants are expected to have an accredited undergraduate degree in biology from an accredited institution. Candidates with other appropriate backgrounds will be considered. The following cognate undergraduate courses are required: general chemistry, organic chemistry, physics, and calculus. An undergraduate cumulative grade point average of at least 3.0 is expected.

In addition to the application form, three letters of recommendation, undergraduate and graduate transcripts, and Graduate Record Examination (GRE) General test scores are required for admission. Scores in the 50th percentile or better on each section of the general examination are required. The subject test in Biology is recommended. All applicants that received an undergraduate degree from a school outside of the United states are required to submit test scores from the Test of English as a Foreign Language (TOEFL) .

Bridge Program:   To ensure academic success in their graduate studies, students may be required to take additional undergraduate or graduate courses before beginning the program curricula. Bridge courses will be individually designed in consultation with their Graduate Advisor. Bridge courses must be completed before 9 credits of graduate degree courses are earned. Bridge courses are not counted as degree credits but do count in graduate GPA calculations if the course is numbered at the 500-level or higher. ·

In the first year of study, students are advised on all academic matters by the MS Program Coordinator. During the first year of full-time study (or part-time equivalent), students complete sufficient course work to fulfill most core curricular requirements and work to develop a potential research project (library or laboratory) that will serve as the basis of the Capstone Thesis requirement. By the start of the second year, students must choose a faculty member to serve as Advisor during their laboratory or bibliographic thesis research project. When nearing completion of the minimum 30 credits required for the MS Degree, NJIT students must complete an application for graduation and submit it to the Graduate Program Director for signature. ·

Thesis Requirements

Students can fulfill the written thesis requirement either by conducting laboratory or library research. Important to successful completion of the thesis requirement is early identification of a thesis advisor such that proper planning is in place to complete research requirements in a timely and effective manner. The basic requirements and process for these two thesis pathways is presented below: 

Laboratory or Field Research Thesis Option:  Students selecting the experimentally-based research thesis option must successfully complete a minimum of 24 credits of course work and 6 credits in research with a graduate faculty member of the department. Under the guidance of this faculty member the student will perform original research. The thesis resulting from this research is expected to be presented as a hypothesis-driven scholarly work, with conclusions clearly derived from the experimental research and published background information. Students will write a scholarly thesis demonstrating the ability to write clearly and scientifically and based on experimental laboratory and/or field project research.

Bibliographic Thesis Option:  Students selecting the bibliographic-based research thesis option must successfully complete a minimum of 27 credits of coursework and 3 credits of Independent Study with a graduate faculty member of the department. Under the guidance of this faculty member, the student will write a scholarly review of the literature on a scientific topic of interest. The thesis resulting from this research is expected to be a scholarly work, with conclusions clearly derived from the published information referred to by the author. This thesis should demonstrate the ability of the student to write scientifically, bringing together facts and interpretations relevant to that topic, in a clear, scholarly manner.

In both thesis options, upon completion of the written thesis, the student will defend the thesis publicly on the topic of their research, followed by a Q&A session with the examination committee. The thesis committee must be approved by the Graduate Program Director and will consist of the primary advisor and at least one other faculty reader who are full members of the Graduate Faculty. If a research plan requires the expertise of a non-graduate faculty advisor the committee will consist of three members – two from the graduate faculty and the advisor. Format and style of the final document must be in accordance with the guidelines set by and available at the Office of Graduate Studies. Please note that students who are unable to pass the thesis defense by the second try will be dismissed from the program. ·

Part-Time Students

Part-time students are expected to fulfill exactly the same requirements as full-time students. ·

Transfer Credits ·

Credits Already Taken:   Up to nine (9) credits may be transferred for credit approval, provided that they were taken at an accredited college or university in the United States or Canada, were not used in fulfillment of a previous degree awarded, earned a final grade of 3.0 or above on a scale whose maximum is 4.0, were earned in graduate level courses for which full academic credit was awarded, were in units of at least three (3) credits, and were not earned more than seven years ago. Credits earned in quarter systems will be converted to equivalent semester credits.

Credits Not Yet Taken:   Up to nine (9) credits may be transferred for credit approval, provided that they are taken at an accredited college or university in the United States or Canada, earn a final grade of 3.0 or above on a scale whose maximum is 4.0, are in graduate level courses for which full academic credit is awarded, and are in units of at least three (3) credits. Credits earned in quarter systems will be converted to equivalent semester credits. ·

NJIT Graduate Academic Policies and Procedures ·

A complete listing of graduate academic policies and procedures is available at:  http://catalog.njit.edu/graduate/academic-policies-procedures/

Thesis and other academic information is available at the Office of Graduate Studies . ··

Contact Information ·

Website:   http://biology.njit.edu

Email:   [email protected]

Address:   http://biology.njit.edu/contact/ ··

How can I learn more? ·

Attend a Graduate Open House

Request Info from our Graduate Admissions Office ··

• Graduate Catalog for Biology
• Graduate Biology Courses in NJIT Catalog

Related Links:

Department of Mechanical & Industrial Engineering

• Graduate Degree Programs

M.S. in Engineering Management

By drawing on the diverse resources available through the university and surrounding industry, the MS in Engineering Management program develops engineers and other technically trained individuals for leadership roles in a technologically-based, project-oriented enterprise.

" Engineering Management is the art and science of planning, organizing, allocating resources, and directing and controlling activities which have a technological component. Engineering Management is rapidly becoming recognized as a professional discipline. Engineering managers are distinguished from other managers by the fact that they posses both an ability to apply engineering principles and a skill in organizing and directing technical projects and people in technical jobs. " -- - ASEM

Focus on interdisciplinary course work and research provides students with an advanced background in both the theoretical and practical aspects of managing technical/engineering projects and programs via case studies, role playing, and course work. The engineering management program faculty bring to the classroom a critical blend of practical and academic experience.

The program is particularly valuable to individuals who have a number of years of experience in industry, government, and service organizations, or those who have been entrepreneurs. It provides these professionals with broad-based knowledge and skills to succeed as organizational managers and project managers, from conceptualization through implementation.

Eligibility for admission requires completion of an undergraduate degree in engineering, the sciences or a closely related area. Students are expected to have achieved an undergraduate GPA of at least 2.8 on a 4.0 scale. Students not satisfying the above requirement will be considered for conditional admission on a case-by-case basis. In some cases, a bridge program will be required to qualify for matriculation.

The program requires 30 credits, 18 of which are taken in a required core. A purpose of the core is to provide knowledge in the functional areas that are the cornerstones of the discipline: organization and people management, cost management, and systems management. The remaining 12 credits are elective courses, which may be within an area of specialization to meet the individual’s specific professional and personal objectives. A 3-credit project or a 6-credit thesis is optional. In some cases, students may select courses to enhance their technical competency. In other cases, individuals may select courses to prepare for a change in responsibilities or job function. At least half of the elective courses must be selected from those having an EM, IE or MNE prefix. Also, a 12-credit graduate certificate in Project Management, Construction Management, Finance for Managers, Management Essentials, Management of Technology or Supply Chain Engineering is available as a step toward or part of this degree.

18 Core Credits are required with courses in Management Accounting, Management Science, Project Management, Organizational Behavior, Total Quality Management and Decision Support Systems.

The range of possible specializations is broad. The following is a list of possible specializations:

• Project Management
• Cost Engineering
• Supply Chain Engineering
• Technical Marketing
• Technological Entrepreneurship
• Manufacturing Systems Management
• Management Information Systems

The MS Engineering Management program is also available online.

How can I learn more?

• Download a brochure on the MS in Engineering Management (PDF, 323 KB)
• Attend a graduate Open House
• Request more info from our Graduate Admissions Office

Related Links:

• University Graduate Catalog

Vincent A. Stabile

Students in the MS in Engineering Management program have access to the Vincent A. Stabile Laboratory which features 10 experimental stations, the Festo System, which gives students “hands-on” training in solving practical problems using robotics.

• M.S. Programs

M.S. in Data Science

Apply Now  |  Request Info

Request info about our programs, m.s. in data science (30 credits).

In today’s AI-driven economy, there is a strong demand for data scientists equipped with computational skills to develop, design and apply models and tools for data-driven decision making. Companies use data science and AI for marketing decisions, targeted customer recommendations, determination of profitable insurance coverage as well as for providing personalized financial advice.

The M.S. in Data Science covers basic and advanced methods in statistical inference, machine learning, data visualization, data mining, and big data, all of which are essential skills for a high-performing data scientist. To be admitted to the program, we require a basic background in Mathematics (calculus, linear algebra), Statistics (probability and basic stats) and Software Development (programming, data structures and algorithms). This part-time degree program involves 10 courses of 3 credits each, taught over 5 semesters of 15 weeks each (including summer). Courses consist of formal lectures as well as hands-on programming projects.

The program curriculum uses the Python programming language with its data science libraries and features tools like R for statistical analysis and Tableau for data visualization. Students work on homework assignments and projects covering both theory and applications on real data with guidance from the professor and teaching assistants.

Recommended part-time credit schedule: Two courses (6 credits) per semester over five consecutive semesters, including Summer. Start is possible in Fall, Spring or Summer semesters.

Students are required to take (4) core courses from the following list:

Students may choose an elective outside the list after approval from their respective advisor.

• Be able to acquire, clean, and manage massive data sets.
• Play an analytical role in your company where you design, implement, and evaluate advanced statistical models and approaches for application to your company’s most complex problems.
• Be able to provide econometric and statistical models for a variety of problems including projections, classification, clustering, pattern analysis, sampling and simulations.
• Research new ways for predicting and modeling end-user behavior as well as investigating data summarization and visualization techniques for conveying key applied analytics findings.
• Apply modern artificial intelligence and deep learning methods to complex prediction and recognition tasks.

Students in the Master of Science in Data Science (MSDS) program must successfully complete 30 credits based on any of the following options:

10 Courses (30 credits)

9 Courses (27 credits) + MS Project (3 credits)

8 Courses (24 credits) + MS Thesis (6 credits)

Independent of the chosen option, 4 out of 5 core courses are required.

If a student chooses the MS thesis option, the thesis must be related to Data Science and requires approval from a professor in the Data Science Department who will be the MS thesis advisor.

Jersey City Cohort Students (non-F1 visa): Tuition, University Fee, and GSA Fee per consecutive semester, regardless of residency and visa status, assuming two Jersey City courses (6 credits) at 2023-2024 rates

• Summer 2024: $6,103
• Fall 2024: $7,086
• Spring 2024: $7,086

M.S. Degrees: Total Tuition, University Fee, and GSA Fee Costs, assuming two Jersey City courses (6 credits) over five consecutive semesters at 2023-2024 rates

• Fall Start: $34,447
• Spring Start: $33,464
• Summer Start: $33,464

Program Contact:

Ying Wu College of Computing Quinn Hardrick Student Outreach Manager 973-642-7037 [email protected] University Admissions Yaslie Pared Enrollment Services Manager 973-596-6292 [email protected] NJIT@JerseyCity Location Julio Oyola Associate Director of Operations for NJIT@JerseyCity 973-596-6323 [email protected]

M.S. Information Systems

• Prepare students for productive careers and amplify their potential for lifelong personal and professional growth.
• Prepare students to conduct research with an emphasis on applied, interdisciplinary efforts that encompass architecture, design and science, including physical and life sciences, engineering, mathematics, infrastructure systems, computing information, communication technologies and management.
• Prepare students for service in urban environments and the broader society of the city, state, nation and global community by conducting public policy studies, making educational opportunities widely available and initiating community‐building projects.
• Prepare students to contribute to economic development through the state’s largest business incubator system through workforce development, joint ventures with government and the business community and the development of intellectual property.
• Prepare graduates for leadership positions as professionals and citizens.
• Provide educational opportunities for a diverse student body.
• Respond to the needs of large and small businesses, state and local governmental agencies and civic organizations.
• Partner with educational institutions at all levels to accomplish its mission.
• Advance the uses of sciences, technology, engineering and mathematics as a means of improving the quality of life.
• Apply knowledge from computing, mathematics, statistics and management to effective Information Systems practice.
• Demonstrate the capability to analyze problems and systems and identify, define and design appropriate computing Information Systems and Information Technology solutions, tools and methodologies.
• Demonstrate a working knowledge of the Software Development Life Cycle, which includes requirements analysis, systems design, implementation, testing, deployment, maintenance and evaluation, and apply it to Information Systems projects that solve problems where computing solutions are appropriate.
• Function effectively on teams in order to accomplish a desired goal.
• Understand of the ethical, societal and professional responsibilities of the Information Systems professional.
• Communicate effectively in both oral and written modes.
• Identify and analyze the bidirectional impact of sociotechnical problems and computing on individuals, organizations and society, including ethical, legal, security and policy issues.
• Invoke the current techniques, skills, tools and methodologies necessary to become an effective Information Systems professional.
• Engage in continuing professional development and understand the purpose of research in the Information Systems and computing fields, and how this benefits current practice.
• Understand the processes that support the delivery and management of Information Systems within a business, managerial and organizational environment.

View the Curriculum

Core faculty.

Distinguished Professor

Bieber, Michael

Associate Professor

Jones, Quentin

Lee, Michael

Wohn, Donghee

Golden, Matthew

Chief Marketing & Communications Officer

Bell, Michele

Director of Academic Advisement

Where do Information Systems majors work?

Common job titles.

• Consulting Analyst
• Logistics Specialist
• Advanced Repair Agent
• Information Technology Resident

Top Employers

• Google Inc.
• PJM Interconnection

Take the next step in your journey.

Get information on program requirements, tuition, financial assistance and more.

Norway's health minister accused of plagiarism in latest ethics scandal to rock the government

An academic probe says that Norway’s Health Minister Ingvild Kjerkol plagiarized parts of her masters’ degree thesis three years ago

COPENHAGEN, Denmark -- An academic probe said Thursday that Norway's Health Minister Ingvild Kjerkol plagiarized parts of her masters' degree thesis three years ago, the second such case this year in the Norwegian government and the latest allegation of unethical behavior to rock the center-left government.

The investigation by Nord University in Bodoe, northern Norway, found Kjerkol's 2021 thesis contained “far more serious errors than sloppiness," Norwegian broadcaster NRK reported. The broadcaster said the probe’s conclusion was to deprive Kjerkol of her master’s degree in health management.

The 48-year-old Kjerkol did not comment Thursday. But she has previously rejected the allegations, saying she and a co-author did not copy to parts of another student’s thesis from 2015.

Kjerkol has been in office since October 2021 when Prime Minister Jonas Gahr Støre presented a coalition government of his own Labor party and the junior Center Party.

The conclusion of Thursday’s probe immediately prompted the opposition to urge Gahr Støre to say whether he has trust in Kjerkol.

Jan Tore Sanner, a senior member of Norway’s main opposition party, Hoeyre, told Norwegian news agency NTB, that the prime minister must address “the matter of confidence” in Kjerkol.” Sylvi Listhaug, the leader of the anti-immigrant Progress Party, also called on Gahr Støre to “assess whether he has confidence in her.”

Kjerkol is the second government member to be entangled in academic plagiarism allegations this year. In January, Sandra Borch stepped down as minister for research and higher education after a student discovered that parts of Borch’s master’s thesis, including spelling mistakes, were copied without attribution from a different author.

Gahr Støre’s coalition has seen the departure of several ministers in recent months over other wrongdoings. In September, it was revealed that the husband of then Foreign Minister Anniken Huitfeldt had been trading in stocks for years behind her back and that could potentially enrich her.

The ruling social democratic Labor party was defeated in September in local election s by the Hoeyre for the first time since 1924. The party, which for decades was Norway’s largest party in local elections, came in second in the Sept. 11 elections for local councils in Norway’s 356 municipalities and 11 counties.

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Norway's health minister accused of plagiarism in latest ethics scandal to rock the government

COPENHAGEN, Denmark — An academic probe said Thursday that Norway’s Health Minister Ingvild Kjerkol plagiarized parts of her masters’ degree thesis three years ago, the second such case this year in the Norwegian government and the latest allegation of unethical behavior to rock the center-left government.

The investigation by Nord University in Bodoe, northern Norway, found Kjerkol’s 2021 thesis contained “far more serious errors than sloppiness,” Norwegian broadcaster NRK reported. The broadcaster said the probe’s conclusion was to deprive Kjerkol of her master’s degree in health management.

The 48-year-old Kjerkol did not comment Thursday. But she has previously rejected the allegations, saying she and a co-author did not copy to parts of another student’s thesis from 2015.

Kjerkol has been in office since October 2021 when Prime Minister Jonas Gahr Støre presented a coalition government of his own Labor party and the junior Center Party.

The conclusion of Thursday’s probe immediately prompted the opposition to urge Gahr Støre to say whether he has trust in Kjerkol.

Jan Tore Sanner, a senior member of Norway’s main opposition party, Hoeyre, told Norwegian news agency NTB, that the prime minister must address “the matter of confidence” in Kjerkol.” Sylvi Listhaug, the leader of the anti-immigrant Progress Party, also called on Gahr Støre to “assess whether he has confidence in her.”

Kjerkol is the second government member to be entangled in academic plagiarism allegations this year. In January, Sandra Borch stepped down as minister for research and higher education after a student discovered that parts of Borch’s master’s thesis, including spelling mistakes, were copied without attribution from a different author.

Gahr Støre’s coalition has seen the departure of several ministers in recent months over other wrongdoings. In September, it was revealed that the husband of then Foreign Minister Anniken Huitfeldt had been trading in stocks for years behind her back and that could potentially enrich her.

The ruling social democratic Labor party was defeated in September in local elections by the Hoeyre for the first time since 1924. The party, which for decades was Norway’s largest party in local elections, came in second in the Sept. 11 elections for local councils in Norway’s 356 municipalities and 11 counties .