Tarleton 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: A bachelor's degree in computer science, mathematics, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, calculus, and statistics.

About This Program

This research-based program offers thesis and professional tracks designed to prepare students for career advancement or doctoral-level studies in intelligent systems.

Career Outcomes

Lead as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

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

What You'll Learn

• Design and implement supervised, unsupervised, and reinforcement learning models.
• Apply deep neural networks to image recognition and natural language tasks.
• Evaluate AI systems for bias, ethics, and societal impact.
• Develop scalable AI solutions for real-world data problems.

Curriculum Highlights

The curriculum covers foundational and advanced topics in machine learning, deep learning, robotics, computer vision, and convex optimization.

Top Employers

Top employers include Google, Amazon, Microsoft, Meta, and tech firms like NVIDIA and OpenAI.

Admissions

A bachelor's degree in computer science, mathematics, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, calculus, and statistics.

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: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)