Middle Tennessee State 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. Related high school coursework in math and programming strengthens applications.

About This Program

This undergraduate degree prepares students to design and implement intelligent software systems that can learn from data, adapt to new information, and solve complex problems.

Career Outcomes

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

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

What You'll Learn

• Design and implement AI algorithms for pattern recognition and decision-making.
• Apply machine learning techniques to real-world datasets.
• Analyze and optimize computational complexity in AI systems.
• Develop intelligent agents using search, logic, and probabilistic methods.

Curriculum Highlights

The program covers a computer science core plus specialized courses in intelligent robot systems, neural networks, Python programming, and discrete structures.

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. Related high school coursework in math and programming strengthens applications.

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+)