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, along with programming experience and quantitative coursework.

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.

Career Outcomes

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

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. NLP Specialist

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.

Curriculum Highlights

The curriculum includes core coursework in machine learning, deep learning, and data analytics, culminating in hands-on projects that address industrial and societal challenges.

Top Employers

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

Admissions

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.

Application Materials

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

Academic Requirements

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