MN

Certificates in AI
On-Campus, Online

University of St. Thomas

Graduate Certificate in Applied AI

  • Saint Paul
About This Program

This foundational certificate explores essential AI principles, algorithms, and their practical applications in modern industry.

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What You'll Learn

Students learn AI theories and methodologies, including machine learning and data preparation, to navigate the evolving tech field.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The four-course curriculum includes data analytics, visualization, machine learning, and foundational artificial intelligence principles.
Typical Course Topics
1. Machine Learning Fundamentals 2. Deep Learning and Neural Networks 3. Natural Language Processing Applications 4. Computer Vision Techniques 5. AI Ethics and Responsible Deployment 6. Reinforcement Learning for Decision-Making
Program Specializations:
Generative AI and LLMs
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; relevant programming experience or coursework in Python and data structures is preferred.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2
• 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.

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Career Opportunities in AI

Strengthen machine learning skills to advance as AI Engineer in Cross-Industry AI

Estimated Industry Salary
AI Specialist: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Applications Engineer 2. Machine Learning Specialist 3. Data Scientist (AI Focus) 4. AI Solutions Architect
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Microsoft, Amazon, and IBM, as well as consulting firms and industry leaders adopting AI solutions.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 15,720
Format
On-Campus, Online
Specializations
Generative AI and LLMs
AI Ethics/Policy
Official Resources
Program Website
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