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 Python and data structures is preferred.

About This Program

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

Career Outcomes

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

• 1. AI Applications Engineer
• 2. Machine Learning Specialist
• 3. Data Scientist (AI Focus)
• 4. AI Solutions Architect

What You'll Learn

• Implement machine learning models for predictive analytics and pattern recognition.
• Develop and deploy deep learning systems for image and language processing.
• Apply AI techniques to solve domain-specific problems in industry settings.
• Evaluate AI systems for ethical implications, bias, and fairness.

Curriculum Highlights

The four-course curriculum includes data analytics, visualization, machine learning, and foundational artificial intelligence principles.

Top Employers

Top employers include tech giants like Google, Microsoft, Amazon, and IBM, as well as consulting firms and industry leaders adopting AI solutions.

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 Python and data structures 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+)