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Machine Intelligence (Graduate Certificate) at George Washington University

George Washington University, United States

Programme overview

The certificate program in machine intelligence provides a strong technical education in the software and hardware aspects of machine intelligence. This certificate offers an alternative to a master of science degree for professionals who wish to align their background with the rapid changes in the scalable and efficient implementation of machine learning and machine intelligence, and who want to expand their education beyond the bachelor's degree but might not have the time to commit to a full graduate degree program.

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

What you will study

Required coursework includes ECE 6210 Machine Intelligence; ECE 6150 Design of Interconnection Networks for Parallel Computer Architectures; ECE 6882 Reinforcement Learning; ECE 6045 Special Topics in Electrical Engineering; ECE 6850 Pattern Recognition and Machine Learning.

Career pathways

Students gain a comprehensive view and hands-on skills related to basic and advanced algorithmic concepts, challenges, and opportunities for efficient implementations in existing and emerging hardware technologies as well their applications and the larger societal impact.

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.

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