The University of Texas at Tyler

How this program compares

At an estimated $19.4K in total tuition, the MS in Computer Science - Machine Learning Specialization sits roughly 54% below the $42.4K average for AI master's programs in our database — placing it in the 23rd percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: Applicants must hold a bachelor's degree in computer science, mathematics, engineering, or a related technical field with a minimum GPA of 3.0. Prior coursework in programming, linear algebra, calculus, and data structures is typically required; GRE scores are often optional for professional tracks.

About This Program

A graduate program providing broad competence in computer science along with the opportunity to specialize in machine learning and data analytics for a rapidly evolving industry. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 2 years.

Estimated total tuition is $19.4K, below the $42.4K average for AI master's programs in our database and in the 23rd percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Thrive as Machine Learning Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $128,000.

Career Outcomes

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

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

What You'll Learn

• Design, train, and optimize machine learning models for real-world applications across industries
• Apply deep learning architectures and neural networks to complex data problems
• Implement statistical methods and evaluation techniques for model validation and performance assessment
• Develop end-to-end machine learning pipelines from data preprocessing through deployment and interpretation

Curriculum Highlights

The curriculum consists of foundational core courses in operating systems and programming languages, combined with electives in machine learning and digital forensics.

Top Employers

Top employers include Google, Amazon, Microsoft, Meta, Apple, OpenAI, and major financial institutions like JPMorgan Chase and Goldman Sachs.

Admissions

Applicants must hold a bachelor's degree in computer science, mathematics, engineering, or a related technical field with a minimum GPA of 3.0. Prior coursework in programming, linear algebra, calculus, and data structures is typically required; GRE scores are often optional for professional tracks.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree in computer science or related technical field
• GRE/GMAT: Optional for most MS programs
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)