MS Engineering Artificial Intelligence at Stony Brook University

Programme overview

The MS in Engineering Artificial Intelligence prepares specialists across algorithms, sensors, hardware, control and applications of AI. It is a three-semester course sequence covering AI fundamentals, probabilistic reasoning, machine learning, deep learning, sensor electronics, digital systems and acceleration hardware, control theory, convex optimization, natural language processing and computer vision.

Faculty: College of Engineering and Applied Sciences | Department: Electrical and Computer Engineering | Duration: 3 semesters (non-thesis) or typically 4 semesters (thesis); minimum 30 credits | Study mode: full-time | Location: Stony Brook, NY, United States

What you will study

30 credits organised in subareas: Foundations (Stochastic Systems, Theory of Artificial Intelligence), Methods (Deep Learning Algorithms and Software, Fundamentals of Machine Learning), one Applications course (e.g. AI for Robotics), one Hardware course (e.g. Hardware Architectures for Deep Learning), plus electives such as Computer and Robot Vision, Natural Language Processing and Statistical Learning. Thesis students complete at least 6 research credits; non-thesis students complete a 3-credit engineering practicum.

Official programme page

Application information

Entry requirements

Bachelor's degree in electrical or computer engineering or computer science from an accredited institution (outstanding applicants from other technical or scientific fields considered, possibly with make-up coursework). Minimum GPA of B in all engineering, mathematics and science courses. GRE V150, Q159, WA3 (if required by the Graduate School). TOEFL 80 or IELTS 6.5 for international applicants. Three recommendation letters. Acceptance by both the department and the Graduate School.

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

Graduate applications are for fall entry with funding consideration; deadlines and any other entry terms vary by program.

Graduate School: the application fee is $100 (limited exceptions). Applications are submitted online through the Slate portal. Minimum cumulative GPA 3.00 on a 4.00 scale; GRE scores are listed on the application checklist and three letters of recommendation are required. Deadlines vary by program; for fall applications considered for funding the deadline is typically January 15.

Apply through the official page: https://www.stonybrook.edu/grad/admissions/apply-graduate-programs.html

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