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Innovate with AI

M.S. in Artificial Intelligence

Earn your M.S. in Artificial Intelligence

In today's rapidly evolving technological landscape, an understanding of AI systems is becoming essential, regardless of industry or job role. Organizations today are seeking skilled professionals who can harness the power of AI to enhance efficiency, make data-driven decisions, and innovate.

The University of St. Thomas Master of Science in Artificial Intelligence program is structured to provide the foundational knowledge and tools to prepare students to become successful AI practitioners. Students will  gain expertise in machine learning, neural networks, and ethical AI, all guided by leading scholars and industry experts.

Graduates of this program can explore diverse career opportunities, from data scientists, software developers, and machine learning engineers to AI research scientists and AI ethics consultants, with the potential for high-demand positions and competitive salaries in a variety of sectors.

Why choose a Master of Science in Artificial Intelligence at the University of St. Thomas?

  • Collaborate with teammates on innovative projects and learn state-of-the-art technology skills, rooted in real-world applicability. With our program, you can apply what you learn immediately.
  • Our continually updated curriculum is a comprehensive blend of advanced technical knowledge and practical skills taught by faculty with extensive industry experience in AI.
  • We offer countless opportunities for networking, connecting with a diverse group of peers, industry professionals, and faculty. St. Thomas has deep connections with the software and technology community, as well as over 4,000 alumni from 39 states and 14 countries.
  • Built for working professionals, meaning you can earn your degree at your own pace. We offer in-person, online, and hybrid courses, evening classes, and three start times a year - spring, summer, and fall.  
  • Our program accepts students at all levels of experience; no matter your previous experience, we can help you build the technical skills you need to be a software expert. Initial coursework will depend on your experience level and background.
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Get the Facts at a Time Convenient for You

Virtual Information Session on the MS in Artificial Intelligence Program

Hear from our graduate recruiter, Melissa Howland; and Dr. Manjeet Rege, St. Thomas professor and AI expert, as they speak about the features of this graduate program and how to apply.

Coursework and Degree Requirements

The M.S. in Artificial Intelligence requires 10 courses (30 credits). Students must maintain a GPA of 2.7 or higher.

STEM Approved Program

Ten Required Courses:

  • SEIS 603 Foundations of Python I
  • SEIS 631 Data Preparation and Analysis
  • SEIS 632 Data Analytics and Visualization
  • SEIS 651 AI Ethics
  • SEIS 763 Machine Learning
  • SEIS 764 Artificial Intelligence
  • SEIS 765 MLOps
  • SEIS 766 Vision AI
  • SEIS 767 Conversational AI
  • SEIS 795 Independent Study OR one SEIS Approved Elective (see below)

Approved Electives:

  • SEIS 615 Cloud Computing
  • SEIS 622 Web App Development
  • SEIS 630 Database Management Systems and Design
  • SEIS 663 Introduction to Cybersecurity
  • SEIS 732* Data Stores and Feature Design (*only for students with database backgrounds)
  • SEIS 745* Data Lake Engineering (*only for students with database backgrounds)
  • SEIS 795  Independent Study

View course descriptions listed in the Graduate Programs in Software (SEIS) course catalog.

Please note suggested course sequences assume a fall semester start. Please talk with your advisor if you have questions or starting in other semesters.

Suggested course sequence with SEIS 603 required:

  • Semester 1: SEIS 603/SEIS 632
  • Semester 2: SEIS 631/SEIS 651
  • Semester 3: SEIS 763/SEIS elective or SEIS 795
  • Semester 4: SEIS 764/SEIS 765
  • Semester 5: SEIS 766/SEIS 767

Suggested course sequence with SEIS 603 waived:

  • Semester 1: SEIS 631/SEIS 632
  • Semester 2: SEIS 651/SEIS 763
  • Semester 3: SEIS 764/SEIS 765
  • Semester 4: SEIS 766/SEIS 767
  • Semester 5: SEIS approved elective/SEIS approved elective, or SEIS approved elective/SEIS 795

Graduate Degrees and Certificates that Work for You

Convenient Schedule

Classes are offered in-person and online weeknights from 5:30 – 8:30 p.m., Monday – Friday.

View Our Course Schedule

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.
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Focused on Critical Business Decisions

Center for Applied Artificial Intelligence

Where industry professionals partner with St. Thomas faculty and graduate students to foster collaboration between companies and organizations to solve real-world problems.

Center for Applied Artificial Intelligence


Our full-time tenured faculty, all hold Ph.D. degrees and extensive industrial experience. Adjunct faculty are selected for professional experience and educational credentials.

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Dr. Manjeet Rege

Dr. Manjeet Rege is an AI expert, professor, Chair of the Software Engineering and Data Science department, and Director for the Center for Applied Artificial Intelligence at St. Thomas. 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. Manjeet Rege
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Dr. Chih Lai

Before joining the faculty at St. Thomas, Dr. Chih Lai was a principal software engineer, working on a collision avoidance system. Lai holds three U.S patents and three European patents. Lai also worked with Medtronic and has pending patents on monitoring and evaluating Parkinson patients.
Dr. Chih Lai
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Dr. Jim Howard

Dr. Jim Howard is a machine learning practitioner with over 15 years of experience specializing in the development of machine learning models and deployment of those models to real production systems. He has previously worked for many Fortune 500 companies including 3M, Land O' Lakes, and Meta. He is currently a principal engineer of machine learning at Laurel.AI.

AI Career Outlook

A career in Artificial Intelligence is in high demand.

  • Most of our St. Thomas career changers transition successfully after 2 to 3 semesters
  • According to LinkedIn, Artificial Intelligence Specialist roles have grown by 74% annually over the past four years.*
  • The fastest-growing roles relative to their size today are driven by technology, digitalization, and sustainability- forecasting that the fastest-growing position will be AI and machine learning specialists, factoring in an employment growth rate of 39% within the next five years**

* LinkedIn Emerging Jobs Report 2020 - The top 15 emerging jobs in the U.S.  https://business.linkedin.com/content/dam/me/business/en-us/talent-solutions/emerging-jobs-report/Emerging_Jobs_Report_U.S._FINAL.pdf

** World Economic Forum - Future of Jobs Report 2023, Insight Report, May 2023 https://www3.weforum.org/docs/WEF_Future_of_Jobs_2023.pdf

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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.

Register for a Session