The University of Texas at Tyler

How this program compares

Budget-wise, $19.4K puts this master's program at the 23rd percentile on cost — roughly 55% below the $42.9K average across 394 comparable listings. It is one of the 54% 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. Most students complete it in about 2 years.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $128,000.

Design, train, and optimize machine learning models for real-world applications across industries.

At roughly $19.4K total, The University of Texas at Tyler's MS in Computer Science - Machine Learning Specialization sits below the $42.9K average among AI master's programs we track — the 23rd percentile on price. That makes it one of the more affordable options for students weighing return on investment.

It is one of 45 AI-related programs we track in Texas, of which about 51% offer an online option. On price, it comes in cheaper than about 55% of the Texas programs in our data, where typical tuition runs near $41.5K.

Career Outcomes

Graduates of The University of Texas at Tyler's MS in Computer Science - Machine Learning Specialization most often target Machine Learning Engineer roles, where reported compensation runs around $128,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to The University of Texas at Tyler's MS in Computer Science - Machine Learning Specialization generally expects a bachelor's degree in computer science or related technical field. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions