Texas A&M University-Kingsville MS in Computer Science

Texas A&M University-Kingsville offers a 30-credit, campus-based MS in Computer Science in Kingsville, Texas. Students can choose a thesis or course-only path and build an AI-focused plan through graduate electives.

The university’s MS in Computer Science includes specialization options in data science and artificial intelligence and deep learning. This profile focuses on the program’s machine learning, AI, and data science courses.

Quick Facts

SchoolTexas A&M University-Kingsville
LocationKingsville, Texas
DegreeMS in Computer Science
Credits30
FormatCampus
Estimated Tuition and FeesAbout $10,262 resident; $23,818 nonresident
Estimated LengthAbout 2 years
AI and Data Science FocusAI, machine learning, data mining, data science, and neural networks

Curriculum

Both degree options require Computer Communication Networks and Analysis of Algorithms. The remaining credits give students substantial room to select graduate computer science electives.

The 2025–26 graduate catalog lists a strong group of AI, machine learning, and data science courses:

  • Artificial Intelligence covers search, knowledge representation, Bayesian networks, neural networks, reinforcement learning, and natural language processing.
  • Machine Learning covers supervised and unsupervised learning, deep learning, probabilistic models, reinforcement learning, ensemble methods, model evaluation, and optimization.
  • Data Mining includes feature selection, classification, regression, support vector machines, Bayesian learning, clustering, and anomaly detection.
  • Data Science I covers Python-based data preparation, analysis, visualization, and the development and testing of machine learning models.
  • Data Science II covers predictive modeling, natural language processing, big data analytics, model deployment, and result interpretation.
  • Neural Networks Application examines perceptrons, backpropagation, radial basis networks, and applied neural network work.

Course availability follows a rotating schedule. The catalog’s planned offerings show some AI and data science electives in alternating fall or spring terms, so students should plan their sequence with an advisor.

Credits and Program Length

The thesis and course-only options each require 30 credits. A full-time student taking 6 to 9 credits per semester should plan for about two years. TAMUK does not publish one guaranteed completion time, so the actual schedule depends on course load, course rotation, and thesis progress when applicable.

Tuition and Cost

TAMUK’s 2026–27 graduate cost of attendance lists $6,157 in tuition and fees for a resident taking 18 credits across fall and spring. The comparable nonresident amount is $14,291.

If those published amounts scale directly with credits, the 30-credit degree would cost about $10,262 for Texas residents or $23,818 for nonresidents in tuition and fees. These are planning estimates, not university-published total program prices. Actual costs may differ because some fees depend on the number of semesters and credits taken.

Books, housing, transportation, and personal costs are separate. Students who need prerequisite courses will also pay more than the 30-credit estimate.

Admissions

Applicants should have a bachelor’s degree in computer science, computer engineering, or a closely related field. Students from other academic backgrounds may receive admission with required preparation, including Foundations of Computer Science and up to five approved undergraduate computer science courses.

Applicants must also meet the College of Graduate Studies requirements. International applicants may need to satisfy English-language proficiency rules.

Machine Learning, AI, and Data Science Focus

This program has a meaningful AI and machine learning connection. TAMUK identifies artificial intelligence and deep learning and data science as specialization areas, and the current catalog includes dedicated graduate courses in AI, machine learning, data mining, data science, and neural networks.

The degree remains a broad MS in Computer Science rather than a fixed AI curriculum. Students must use their elective choices carefully to create a concentrated AI or data science plan.

Campus Format

TAMUK presents the MS in Computer Science as a campus program in Kingsville. The official department and catalog pages do not identify a fully online version of this degree.

Thesis or Course-Only Option

The thesis option includes 6 credits of core courses, 6 credits of thesis work, and 18 elective credits. Students must register for thesis work in at least two semesters and complete a proposal and defense.

The course-only option includes 6 credits of core courses and 24 elective credits. It gives students more room to select AI, machine learning, and data science courses without completing a thesis.

Who Is This Program Best For?

This program fits students who want a broad computer science foundation with the freedom to build an AI, machine learning, or data science emphasis. The thesis option may suit students considering research or doctoral study, while the course-only path may work better for professionals who want additional technical coursework.

Applicants who want a fixed cohort, a fully online format, or a degree titled artificial intelligence should compare other Texas programs.

Bottom Line

Texas A&M University-Kingsville offers a relevant and flexible computer science master’s degree for AI-focused students. Its main strengths are the 30-credit structure, thesis and course-only choices, and a current catalog with several dedicated AI and data science electives. Students should confirm course rotation and their final tuition estimate before enrolling.