MN

Master's in AI
On-Campus, Online

University of St. Thomas | MS in Artificial Intelligence

  • Saint Paul


About This Program

This graduate degree prepares students to design and implement sophisticated AI systems by bridging the gap between theoretical research and real-world software engineering.

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What You'll Learn
  • Design and implement machine learning models for predictive analytics.
  • Develop neural networks for tasks like image recognition and sequence modeling.
  • Apply natural language processing techniques to text analysis and generation.
  • Build AI systems using reinforcement learning for decision-making agents.
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The MS in Artificial Intelligence is a two-year graduate program focused on machine learning algorithms, neural networks, natural language processing, and AI applications.
Typical Course Topics
1. Introduction to Artificial Intelligence 2. Machine Learning 3. Deep Learning and Neural Networks 4. Natural Language Processing 5. Computer Vision 6. Reinforcement Learning
Program Specializations:
Deep Learning
AI Ethics/Policy
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

Position as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
AI Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. NLP Specialist
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, and OpenAI.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
$ 40,500
Format
On-Campus, Online
Specializations
Deep Learning
AI Ethics/Policy
Official Resources
Program Website
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