DS courses
48 courses · New Jersey Institute of Technology · Fall 2026
- DS 100 — Basic Foundations of Data Science. 3 credits, 3 contact hours1 section
- DS 110 — Basic Foundations of Artificial Intelligence. 3 credits, 3 contact hours1 section
- DS 200 — Introduction to Coding Agents. 3 credits, 3 contact hours1 section
- DS 240 — General Introduction to Data Science. 3 credits, 3 contact hours1 section
- DS 300 — Distributed Programming for AI. 3 credits, 3 contact hours1 section
- DS 340 — Fundamentals and Principles of Data Science. 3 credits, 3 contact hours1 section
- DS 377 — Introduction to Deep Learning. 3 credits, 3 contact hours1 section
- DS 400 — Scientific Foundation of Machine Learning. 3 credits, 3 contact hours1 section
- DS 410 — Federated Machine Learning and Applications. 3 credits, 3 contact hours1 section
- DS 440 — Intelligent Systems Design. 3 credits, 3 contact hours1 section
- DS 450 — Data Visualization. 3 credits, 3 contact hours1 section
- DS 469 — Reinforcement Learning. 3 credits, 3 contact hours1 section
- DS 480 — Fundamentals and Applications of Graph Neural Networks. 3 credits, 3 contact hours1 section
- DS 485 — Selected Topics in DS. 3 credits, 3 contact hours1 section
- DS 487 — Artificial Intelligence for Temporal Data. 3 credits, 3 contact hours1 section
- DS 488 — Independent Study in Data Science. 3 credits, 3 contact hours1 section
- DS 492 — Data Science Capstone I. 3 credits, 3 contact hours1 section
- DS 493 — Data Science Capstone II. 3 credits, 3 contact hours1 section
- DS 636 — Data Analytics with R Program. 3 credits, 3 contact hours1 section
- DS 637 — Python and Mathematics for Machine Learning. 3 credits, 3 contact hours1 section
- DS 639 — Elec. Medical Records: Med Terminologies and Comp. Imp.. 3 credits, 3 contact hours1 section
- DS 642 — Applications of Parallel Computing. 3 credits, 3 contact hours1 section
- DS 644 — Introduction to Big Data. 3 credits, 3 contact hours1 section
- DS 650 — Data Visualization and Interpretation. 3 credits, 3 contact hours1 section
- DS 675 — Machine Learning. 3 credits, 3 contact hours1 section
- DS 677 — Deep Learning. 3 credits, 3 contact hours1 section
- DS 680 — Natural Language Processing. 3 credits, 3 contact hours1 section
- DS 681 — Deep Learning for Computer Vision. 3 credits, 3 contact hours1 section
- DS 683 — Graph Neural Networks. 3 credits, 3 contact hours1 section
- DS 685 — Artificial Intelligence for Robotics. 3 credits, 3 contact hours1 section
- DS 687 — Artificial Intelligence for Temporal Data. 3 credits, 3 contact hours1 section
- DS 688 — Advanced Federated Machine Learning. 3 credits, 3 contact hours1 section
- DS 698 — Special Emerging Topics. 3 credits, 3 contact hours1 section
- DS 699 — Foundations of Large Language Models. 3 credits, 3 contact hours1 section
- DS 700B — Master's Project. 3 credits, 3 contact hours1 section
- DS 701B — Master's Thesis. 3 credits, 3 contact hours1 section
- DS 701C — Master's Thesis. 6 credits, 6 contact hours1 section
- DS 718 — Theoretical Foundations of Reinforcement Learning. 3 credits, 3 contact hours1 section
- DS 725 — Independent Study I. 3 credits, 3 contact hours1 section
- DS 726 — Independent Study II. 3 credits, 3 contact hours1 section
- DS 732 — Theoretical Foundation of Machine Learning. 3 credits, 3 contact hours1 section
- DS 733 — Deep Unsupervised Learning. 3 credits, 3 contact hours1 section
- DS 752 — Human-AI Collaborative Sensemaking. 3 credits, 3 contact hours1 section
- DS 786 — Selected Topics in Data Science. 3 credits, 3 contact hours1 section
- DS 789 — Trustworthy Artificial Intelligence. 3 credits, 3 contact hours1 section
- DS 790A — Doctoral Dissertation & Research. 1 credit, 1 contact hour1 section
- DS 791 — Graduate Seminar. 0 credits, 1 contact hour1 section
- DS 792B — Pre-Doctoral Research. 3 credits, 3 contact hours1 section
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