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: Bachelor's degree in computer science or a related technical field required. Minimum GPA of 3.0. Prerequisites include programming, data structures, algorithms, and calculus. GRE: verify current requirement with TTU CS department. International applicants: TOEFL 79 iBT or IELTS 6.5 minimum. Fall priority deadline: February 1. Apply at gradschool.ttu.edu.
About This Program
Texas Tech University's MS in Computer Science is offered by the Department of Computer Science in the Whitacre College of Engineering. TTU is a Carnegie R1 research university and its CS department has expanded AI and ML research capacity in recent years. The Lubbock campus provides a lower cost-of-living environment while offering pathways to major Texas tech hubs including Dallas, Austin, and Houston. TTU's established alumni network in Texas industry provides strong recruiting connections.
Career Outcomes
30-credit thesis or 36-credit non-thesis MSCS at Texas Tech University in Lubbock, with research strengths in AI, machine learning, cybersecurity, and data science at a growing R1 research university in the Texas Panhandle.
- 1. Software Engineer
- 2. Machine Learning Engineer
- 3. Data Scientist
- 4. Cybersecurity Engineer
- 5. Systems Analyst
What You'll Learn
- Complete 30β36 credits with required algorithms and advanced CS theory coursework.
- Choose elective concentrations in AI/ML, cybersecurity, data science, or distributed systems.
- Conduct thesis research in AI, ML, or systems under faculty supervision, or complete a project-based non-thesis track.
- Access Texas Tech's growing industry partnerships in Texas tech markets.
Curriculum Highlights
The MS in Computer Science at Texas Tech University is offered by the Department of Computer Science in the Edward E. Whitacre Jr. College of Engineering. The thesis track requires 24 course credits plus 6 thesis credits (CS 6000); the non-thesis track requires 36 course credits. Required courses cover algorithms and advanced topics in CS theory. Elective areas include artificial intelligence, machine learning, data mining, computer vision, natural language processing, cybersecurity, distributed systems, and software engineering. Catalog: catalog.ttu.edu.
Top Employers
AT&T, Raytheon, Texas Instruments, local Lubbock tech employers, Dallas and Austin technology companies; verify current recruiting through TTU Career Services.
Admissions
Bachelor's degree in computer science or a related technical field required. Minimum GPA of 3.0. Prerequisites include programming, data structures, algorithms, and calculus. GRE: verify current requirement with TTU CS department. International applicants: TOEFL 79 iBT or IELTS 6.5 minimum. Fall priority deadline: February 1. Apply at gradschool.ttu.edu.
Application Materials
- Official Transcripts: Required
- Statement of Purpose: Required
- Letters of Recommendation: Three required
- CV/Resume: Required
- GRE General: Verify current policy with TTU CS department
- English Proficiency: TOEFL 79+ iBT or IELTS 6.5+ for international applicants
- Application: Via TTU Graduate School portal
Academic Requirements
- Degree Required: Bachelor's in CS or closely related; minimum 3.0 GPA
- Prerequisites: Programming, data structures, algorithms, calculus
- GRE/GMAT: Verify current policy
- TOEFL/IELTS: Required for international applicants (TOEFL 79+ iBT or IELTS 6.5+)
Student Reviews
Loading reviews...
Ready to Apply?
Visit the official program page for the latest deadlines, tuition, and application requirements.