University of St. Thomas

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: 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 data structures and algorithms is preferred.

About This Program

This graduate program delivers a rigorous introduction to artificial intelligence foundations, preparing students to integrate intelligent systems into modern software solutions.

Career Outcomes

Strengthen artificial intelligence skills to advance as AI Engineer in Cross-Industry AI

• 1. AI Engineer
• 2. Machine Learning Specialist
• 3. Data Scientist (AI focus)
• 4. AI Ethics Consultant

What You'll Learn

• Core AI algorithms including search, logic, and probabilistic reasoning
• Supervised and unsupervised machine learning techniques
• Design and training of neural networks for complex data
• Ethical considerations and bias mitigation in AI systems

Curriculum Highlights

The program features four core courses covering AI theories, practical applications, and methodologies, with the option to transition into a full Master of Science degree.

Top Employers

Top employers include Google, Microsoft, Amazon, and IBM.

Admissions

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 data structures and algorithms is preferred.

Application Materials

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

Academic Requirements

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