What is the main focus of the program?

The focus is on developing both technical skills (like machine learning, vision AI, MLOps) and understanding ethical, societal, and practical aspects of AI systems.

What is the MS in Artificial Intelligence at the University of St. Thomas?

It is a graduate program that provides technical training in AI, covering machine learning, neural networks, computer vision, data analytics, and AI ethics.

What career opportunities do graduates have?

Graduates can work as AI engineers, machine learning specialists, data scientists, or roles in engineering teams that design AI-driven systems.

How are students assessed?

Assessment is typically through coursework, projects, and possibly an independent study. (As per the independent study / elective option.)

What are some of the core courses?

Key courses include Foundations of Python, Data Analytics & Visualization, Machine Learning, Artificial Intelligence, Vision AI, Conversational AI, MLOps, and AI Ethics.

University of St Thomas Minnesota | Masters in Artificial Intelligence

Name: Masters in Artificial Intelligence
Price: 20250 USD

University of St Thomas Minnesota

United States

Program Rank

9999

Overview

View Official page

The University of St. Thomas, a private Catholic research university in Minnesota, offers a Master of Science (M.S.) in Artificial Intelligence through its School of Engineering. This STEM-approved program is designed to equip students with the expertise to design and develop cutting-edge AI systems, balancing technical training with ethical leadership development. It emphasizes hands-on, real-world experience and an industry-aligned curriculum taught by faculty and industry experts. No prior experience is necessary for admission, making it accessible to a broad range of applicants.

Total Tuition Fees

$40,500

Duration

24 Months

Intake

Fall ( Sept - Nov )

Intake

Spring ( Apr - June )

Intake

Summer ( July - Sept )

Class Profile

Class Size

Average Age

Average Work Experience

2 Years

Career Outcomes

The University of St. Thomas reports strong career outcomes, with 98% of graduates employed or continuing education within six months (based on the undergraduate Class of 2021). Graduates of the MS in AI program are prepared for high-demand roles such as AI engineer, data scientist, machine learning specialist, AI consultant, robotics engineer, and AI researcher.

Job Placement

98%

Prospective Job Roles

Data scientist

AI engineer

Robotics engineer

AI consultant

AI researcher

Machine learning specialist

Top recruiters

Eligibility Criteria

At least 16 years of bachelor degree.

At least 24 months of full-time professional experience after graduation.

Accepted fields include .

At least 2.7 / 4.0 undergraduate GPA is expected.

English Proficiency Tests

DUOLINGO
105
IELTS
6.5
PTE
53
TOEFL
80
Duolingo
105
Cambridge
180
iTEP
3.5
ELS
112
MET
53

Standardised Test Score

GMAT
22
GRE
146

Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

Application Fee: 58

Transcript
Resume
English Proficiency Test

Resume
Master SOP
Passport
IELTS
Academic LOR
Professional LOR

Application Deadlines

	Final
Fall	Aug 1, 2026
Spring	Jan 6, 2027
Summer	May 1, 2027

Fees and Funding

Tuition and fees are the same for all students regardless of residency or citizenship status. Estimated total program tuition for 30 credits is $40,500. Additional fees for the 2026-2027 academic year include a Technology Fee ($144 per term for 6 or more credits) and a Student Health Fee ($85 per term for 6 or more credits). No application fee waivers are available. Cost of living is estimated for the Minneapolis/St. Paul area.

Tuition Fees

$20,250 / year

Overall Cost

$38,250 / year

FAQs

The focus is on developing both technical skills (like machine learning, vision AI, MLOps) and understanding ethical, societal, and practical aspects of AI systems.
It is a graduate program that provides technical training in AI, covering machine learning, neural networks, computer vision, data analytics, and AI ethics.
Graduates can work as AI engineers, machine learning specialists, data scientists, or roles in engineering teams that design AI-driven systems.
Assessment is typically through coursework, projects, and possibly an independent study. (As per the independent study / elective option.)
Key courses include Foundations of Python, Data Analytics & Visualization, Machine Learning, Artificial Intelligence, Vision AI, Conversational AI, MLOps, and AI Ethics.

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