Tennessee Technological University

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: High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT/ACT scores optional but recommended for competitive admission.

About This Program

This standalone baccalaureate program, launching in 2026, focuses on the fundamental theories, systems, and engineering behind emerging AI technologies.

Career Outcomes

Prepare Machine Learning Engineer career in Cross-Industry AI with natural language processing focus

• 1. Machine Learning Engineer
• 2. AI Software Developer
• 3. Data Scientist
• 4. AI Research Analyst

What You'll Learn

• Design and implement machine learning models for predictive analytics.
• Develop algorithms and data structures optimized for AI systems.
• Apply statistical methods to analyze and interpret AI datasets.
• Evaluate ethical implications and biases in AI technologies.

Curriculum Highlights

The curriculum spans neural networks, deep learning, natural language processing, and human-AI interaction, emphasizing the inner workings of intelligent systems.

Top Employers

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

Admissions

High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT/ACT scores optional but recommended for competitive admission.

Application Materials

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

Academic Requirements

• Degree Required: High School Diploma
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)