Graduate Certificate in Artificial Intelligence

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.

In response to COVID-19, the University of St. Thomas has made prudent decisions to act on the advice of state and medical professionals. For fall 2020, nearly all of our classes in our Graduate Programs in Software and Data Science which are normally delivered in an on-campus classroom format, will be delivered live online with faculty ready to pivot to have all of our classes online if need be.  The classes are still being held during their normal time on weeknights and Saturdays. 

We are happy to help you in every way possible on your journey to apply, register, and start classes for fall term. Each of our classes meet once a week or every other Saturday and fall term will begin the week of September 9th.

Please consider attending one of the online information sessions we are hosting via Zoom on July 7th or July 21st.  Our staff and faculty are ready to assist you with your questions so e-mail us at gradsoftware@stthomas.edu.  That is why we are here.   

To complete the Graduate Certificate in Artificial Intelligence, the student must complete five required SEIS graduate courses (15 graduate semester credits) with at a GPA of 2.7 or better.

NOTE: Students have the option to use the coursework from the Graduate Certificate in Artificial Intelligence to continue in a Master of Science degree program offered by Graduate Programs in Software.

Required Courses [5 courses]

Complete the following five courses:*

  • SEIS 603 Foundations of Software Development - Python (waived for appropriate prior programming experience)
  • SEIS 631 Foundations of Data Analysis
  • SEIS 632 Data Analytics and Visualization
  • SEIS 763 Machine Learning
  • SEIS 764 Artificial Intelligence

*If SEIS 603 is waived, choose one additional elective course from the Graduate Programs in Software course catalog (SEIS courses).

 View SEIS Course Catalog.

  1. A bachelor's degree in any discipline from a regionally-accredited educational institution in the U.S. (or international equivalent). 

  2. An overall grade-point-average (GPA) of at least 2.7. (Applicants with a GPA less than 2.7 will be considered for provisional admission with their professional experience factored into the decision.)

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