Entrance Requirements
A bachelor's degree from a U.S. regionally accredited institution (or international equivalent) and a minimum GPA of 2.7 is required. The GRE/GMAT is not required.
The recent impact of Artificial Intelligence in a wide range of industries has been made possible by advancement in Machine Learning techniques. The Graduate Certificate in Artificial Intelligence is aimed at preparing professionals who need to handle the growing demands in analyzing digital information for predicting, visualizing, and implementing cutting-edge AI techniques such as artificial neural networks and deep learning.
Students have the option to use the coursework from their graduate certificate to continue in a Master of Science degree program offered by Graduate Programs in Software.
How to earn a graduate certificate
To complete the Graduate Certificate in Artificial Intelligence, you must complete the following five required SEIS graduate courses (15 graduate semester credits) with a GPA of 2.7 or higher:
Five Required Courses:
A bachelor's degree from a U.S. regionally accredited institution (or international equivalent) and a minimum GPA of 2.7 is required. The GRE/GMAT is not required.
Classes are offered weeknights from 5:45 – 9:00 p.m., Monday – Friday and/or alternating Saturdays from 9:00 a.m. – 4:00 p.m.
Get the Facts
All full-time tenured faculty hold Ph.D. degrees and offer extensive industry experience. Adjunct faculty are selected based on professional experience and educational credentials.
Dr. Manjeet Rege is an Associate Professor of Graduate Programs in Software and Data Science and Director for the Center for Applied Artificial Intelligence. He is also the co-host of the "All Things Data" podcast, interviewing data scientists, technologists, business experts and futurists which averages over 60,000 listeners.
Before joining the Graduate Software faculty, Lai was a principal software engineer, working on a collision avoidance system. Lai holds received three U.S patents and three European patents. Lai also worked with Medtronic and has pending patents on monitoring and evaluating Parkinson patients.
Dr. Ron Chiang’s research interests include distributed systems, cloud computing, and high-performance computer architectures. He is especially interested in task and resource management algorithms and the design of advanced virtualization systems.