ME Artificial Intelligence and Machine Learning at George Washington University

Programme overview

The master of engineering (MEng) in artificial intelligence and machine learning program is a comprehensive and advanced academic offering designed to cultivate expertise in the rapidly evolving fields of AI and machine learning. The program ensures a balance of theoretical understanding and practical skills, providing students with a robust foundation in quantitative approaches with a capstone project facilitating the application of acquired knowledge to real-world problems.

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

What you will study

Required coursework includes ECE 6210 Machine Intelligence; SEAS 6413 Cloud and Big Data Management; SEAS 6414 Python Applications in Data Analytics; SEAS 6505 Quantitative Foundations in AI; SEAS 6510 Natural Language Processing with Deep Learning.

Official programme page

Application information

Entry requirements

Bachelor’s degree in engineering, computer science, physical sciences, mathematics, economics, business administration Applicants with relevant nontechnical degrees may also apply Minimum grade point average of B- (2.7 on a 4.0 scale) or higher

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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