Program Overview

M.S. in Artificial Intelligence

The M.S. in Artificial Intelligence is a multidisciplinary pathway that combines artificial intelligence with various fields, transforming every part of the modern global ecosystem. This program is also available at Jersey City.

Program Overview

The M.S. in Artificial Intelligence program is designed to provide students with expertise in designing and building custom AI models, developing scalable AI software architectures and APIs, processing and analyzing various data formats, and formulating complex problem statements.

Curriculum

The program consists of 10 courses, including:

• 4 core courses:
  • MATH 662: Probability Distributions
  • DS 644: Introduction to Big Data
  • DS 675: Machine Learning or CS 670: AI
  • One of: DS 669: Reinforcement Learning, DS 677: Deep Learning, DS 680: Natural Language Processing, DS 683: Graph Neural Networks, DS 789: Trustworthy AI
• 6 elective courses, including sample electives from:
  • 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

Prerequisites

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)

Application Requirements

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

Outcomes

Students who receive a master's degree in AI 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

Campuses and Cost

• Campus Options: The online program is available to both U.S. residents and international students
• Tuition & Fees by Campus (based on AY 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

Financial Support

All applicants are automatically considered for financial support during admission. Guaranteed financial support for MS students is limited and typically reserved for doctoral candidates. After enrollment, MS students can apply for campus jobs to help offset expenses. Well-performing students are often hired as graders, earning up to $9K annually.