Artificial Intelligence and Machine Learning, M.S.

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NY State Program Code: 44499
HEGIS Code: 0701.00
CIP Code: 11.0102

(30 - 37 credits)

The multidisciplinary MS in AI and ML provides graduate students with analytical and development skills in data science, machine learning, and artificial intelligence. Students graduating with an MS in AI and ML will be able to discuss, analyze, design, implement, and assess algorithms and applications in the fields of Data Science, Artificial Intelligence, and Machine Learning. The program pairs a solid theoretical foundation of Machine Learning with practical industry-informed projects on Artificial Intelligence, while leaving enough flexibility for students to hone their skills in software engineering and business analytics.

Requirements for the Master of Science (M.S.) in Computer Science

Required minimum GPA: 3.00

Credits Required to Graduate: 30-37

Computer Science Foundations

Complete 0-7 credits in foundational courses. Program Director may decide to waive courses, depending on the candidate’s preparedness.

CSC (0145) 500 - Computer Programming Bootcamp Credits: 4.00
CSC (0145) 520 - Data Engineering Bootcamp Credits: 3.00

AI and Machine Learning Core

Complete all of the following classes (24 credits)

COM (0108) 551 - Cyber Law & Ethics Credits: 3.00
CSC (0145) 605 - Artificial Intelligence Seminar Credits: 3.00
CSC (0145) 565 - Data Base Management Systems Credits: 3.00
MTH (0144) 601 - Data Science Credits: 3.00
MTH (0144) 610 - Principles of Machine Learning Credits: 3.00
CSC (0145) 625 - Artificial Intelligence and Machine Learning Algorithms Credits: 3.00
CSC (0145) 687 - Advanced Topics in Machine Learning Credits: 3.00
CSC (0145) 690 - Graduate Capstone in Computer Science Credits: 3.00

Electives

Complete 6 credits in MTH or CSC graduate electives, with advisor approval