MS the Field of Artificial Intelligence and Machine Learning at George Washington University

Programme overview

The master of science in Artificial Intelligence and Machine Learning, offered by the Department of Computer Science, prepares students to meet the rapidly growing demand for expertise in areas such as AI, generative AI, machine learning, natural language processing, and computer vision. The curriculum offers deep, focused preparation in modern AI methods, supported by essential grounding in core computer science, as well as coursework in related disciplines. Students learn from research-active faculty, may enroll in advanced courses alongside Ph.D. students, and benefit from evening class options that support working professionals.

Faculty: School of Engineering and Applied Science | Department: Computer Science | Location: Washington, DC, United States

What you will study

At least 24 of the 30 credits must be taken at the 6000 level or above. At least 24 of the 30 credits must be taken in the Department of Computer Science. Non-thesis students take two additional elective courses (6 credits).

Official programme page

Application information

Entry requirements

Applications are made through the School of Engineering and Applied Science graduate admissions office; programme-specific requirements are published on the college application requirements page.

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.

Offers of admission are valid for the semester stated in the admission letter; most graduate programmes use rolling admissions, and some review applications collectively after the deadline.

Graduate applications are submitted through the Graduate Application Center with a non-refundable $80 application fee; deadlines vary by programme and school. Processing usually takes four to six weeks.

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