The University of Utah

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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 a related field such as computer science, engineering, or mathematics with a minimum GPA of 3.0 is required; relevant work experience or programming knowledge is often preferred but not mandatory.

About This Program

This specialized certificate focuses on the foundations of deep learning and its applications within the broader field of artificial intelligence.

Career Outcomes

Gain machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI

• 1. AI/ML Engineer
• 2. Data Scientist
• 3. AI Product Specialist
• 4. Machine Learning Analyst

What You'll Learn

• Core AI algorithms and machine learning models for predictive analytics
• Techniques for training and deploying neural networks
• Prompt engineering and integration of large language models
• Ethical considerations and bias mitigation in AI systems

Curriculum Highlights

The curriculum consists of 15 credits including graduate courses in artificial intelligence, machine learning, and deep learning implementations.

Top Employers

Top employers include tech companies like Google, Microsoft, Amazon, and consulting firms specializing in AI solutions.

Admissions

A bachelor's degree in a related field such as computer science, engineering, or mathematics with a minimum GPA of 3.0 is required; relevant work experience or programming knowledge is often preferred but not mandatory.

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+)