University of Tennessee, Knoxville

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 a computing or related field with a minimum GPA of 3.0 is required, along with recommended background in programming, linear algebra, and probability theory.

About This Program

This graduate-level credential is designed for professionals and students looking to enhance their technical skills in machine learning and automated systems.

Career Outcomes

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

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

What You'll Learn

• Implement machine learning algorithms for real-world AI applications.
• Apply natural language processing techniques to text and speech data.
• Develop computer vision systems for image analysis and recognition.
• Address ethical considerations and bias in AI model deployment.

Curriculum Highlights

The 15-credit program includes a required course in applied AI for research, a graduate capstone, and electives in deep learning or robotics.

Top Employers

Top employers include tech companies like Google, Microsoft, Amazon, and industries such as healthcare, finance, and manufacturing.

Admissions

A bachelor's degree in a computing or related field with a minimum GPA of 3.0 is required, along with recommended background in programming, linear algebra, and probability theory.

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: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)