University of St Thomas Minnesota
United States
Program Name
Masters in Artificial Intelligence
Overview
Total Tuition Fees
$40,500
Duration
24 Months
Median Salary
$1,10,000
Intake
Fall ( Sept - Nov )
Intake
Spring ( Apr - June )
Intake
Summer ( July - Sept )
Class Profile
Class Size
25
Average Age
28
Average Work Experience
2 Years
Career Outcomes
Median Earnings After Graduation
$1,10,000 / year
Prospective Job Roles
Artificial Intelligence Engineer
Machine Learning Consultant
Machine Learning Researcher
Machine Learning Specialist
consulatant
Machine learning engineer
Artificial Intelligence Specialist
Machine Operator
Top recruiters
Eligibility Criteria
Accepted fields include Artificial Intelligence, Artificial Intelligence and Health, Bachelor of Technology - BTech.
At least 2.7 / 4 undergraduate GPA is expected.
At least 16 years of bachelor degree.
At least 24 months of full-time professional experience after graduation.
English Proficiency Tests
DUOLINGO
105
IELTS
6.5
PTE
53
TOEFL
80
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
Master SOP
Resume
Passport
IELTS
Academic LOR
Professional LOR
Application Deadlines
| Final | |
|---|---|
| Fall | Aug 1, 2025 |
| Spring | Jan 1, 2025 |
| Summer | May 1, 2025 |
Fees and Funding
Tuition Fees
$20,250 / year
Overall Cost
$35,250 / year
FAQs
- 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.
- 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.
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