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.
Graduate Certificate in Artificial Intelligence Foundations
Earn your Graduate Certificate in Artificial Intelligence Foundations
Step into the world of innovation with our Graduate Certificate in AI Foundations. This certificate provides a foundational understanding of artificial intelligence, exploring essential principles, algorithms, and their practical applications. Students will gain a comprehensive grasp of AI theories and methodologies, equipping them to navigate and contribute to the ever-evolving field of artificial intelligence.
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
Graduate Certificate in AI Foundations Requirements
To complete the Graduate Certificate in AI Foundations, you must complete the following four required SEIS graduate courses (12 graduate semester credits) with a GPA of 2.7 or higher. Students will be expected to have a prior background in Python or take SEIS 603 Foundations of Python I:
Four Required Courses:
- SEIS 631 Data Preparation and Analysis
- SEIS 632 Data Analytics and Visualization
- SEIS 763 Machine Learning
- SEIS 764 Artificial Intelligence
Graduate Certificates that Work for You
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Convenient Schedule
Classes are offered in-person and online weeknights from 5:30 – 8:30 p.m., Monday – Friday.
Course Delivery Mode
All programs in the Software Engineering and Data Science department at the University of St. Thomas are offered in CoFlex mode, i.e. the student has the flexibility to attend classes either in-person or online.
Inclusions and restrictions:
- CoFlex course delivery mode is available to U.S. citizens, permanent residents, and students on work visas.
- International students or students receiving certain scholarship benefits are ineligible to take the online option and must attend classes in-person.
Get the Facts
Attend an Information Session
Attend an online information session to learn program details. Our programs serve working professionals with busy lives. Set your own pace and start fall, spring or summer. Classes are offered in-person and online weeknights from 5:30 – 8:30 p.m., Monday – Friday. We look forward to meeting you.
FACULTY
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
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.
Dr. Chih Lai
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
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.