M.S. in Artificial Intelligence | Department of Data Science

MATH 662: Probability Distributions
DS 644: Introduction to Big Data
DS 675: Machine Learning
- or CS 670: AI
One of:
- DS 677: Deep Learning
- DS 680: Natural Language Processing
- DS 683: Graph Neural Networks
- DS 789: Trustworthy AI

6 Elective

Data Science
- DS 669: Reinforcement Learning
- DS 688: Advanced Federated Machine Learning
Computer Science
- CS 681: Computer Vision
Statistics
- Introduction to Biostatistics
Robotics
- ME 625: Introduction to Robotics
- BME 676: Computational Biomechanics
- BME: Modeling in Func Brain Imaging
Engineering
- BME 661: Neural Engineering
- CE: Remote Sensing of Environment
- MTEN: Machine Learning for Chemical and Materials Engineers
Science
- BIOL 635: Intro to Comp Neuroscience
- BIOL 638: Computational Ecology
- CHEM 716: Integrated Drug Dev & Discover
- CHEM 737: Applications of Computational Chemistry and Molecular Modeling
Business and Management
- FIN 616: Data Driven Financial Modeling
- MGMT 735: Deep Learning in Business
- ACCT 640: Big Data Analytics for Accounting

Master Project and Thesis

DS 700B: Master’s Project
DS 701B: Master’s Thesis

To be eligible for admission, a student must have a Bachelor of Science degree with a minimum GPA of 3.0 on a 4.0 scale and have completed the following undergraduate coursework:

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)

Students who do not meet all of the above requirements but hold a BS or BA degree in a technical scientific subject will be evaluated on a case-by-case basis and may be admitted to the program after they successfully complete a relevant graduate certificate in Artificial Intelligence, which provides a pathway to the MS program. Earning the certificate with a GPA of 3.0 or higher guarantees admission to the MS program.

All applicants are required to submit:

Transcripts from a prior degree in computing
At least one letter of recommendation

Certificates of completion of online computing courses are taken into consideration. All international applicants are required to submit scores for the following standardized tests:

GRE
TOEFL, or IELTS, or Duolingo

Score reports do not have to be submitted directly by the companies that administer the tests (e.g. ETS etc.) The scores can be reported by the applicant, by either uploading a pdf with the official score report or by sharing a link to their score report. Test Waiver: International applicants who hold a degree from an accredited US institution can ask for a waiver of standardized tests. To request a waiver, please first submit your application and then contact the NJIT admissions office, by directly emailing our staff responsible for international recruitment.

Students who receive a master's degree in AI from NJIT will be able to demonstrate their expertise in the following areas:

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.

Campus Options

The online program is available to both U.S. residents and international students
The online rates are available only to students fully enrolled to the online program
U.S. residents can choose a combination of face-to-face and online courses
The Jersey City program is not available to F-1 international students
F-1 students can take at most one course per semester online, or at Jersey City

Tuition & Fees by Campus (based on AY 2024-2025 rates)

Online: $34,290
Jersey City: $34,504-$37,200
Newark, NJ residents: $36,426-$46,450
Newark, non-NJ residents: $44,748-$63,120

For details, see NJIT's Tuition and Fee Schedule. For information about cost of living see Tuition and Costs at NJIT.

All applicants are automatically considered for financial support during admission, with no need for additional communication. However, guaranteed financial support for MS students is limited and typically reserved for doctoral candidates. After enrollment, MS students can apply for campus jobs such as grading, tutoring, research assistantships, or roles in the library and academic departments to help offset expenses. Well-performing students are often hired as graders, earning up to $9K annually.