Master of Science in Artificial Intelligence at Texas A&M University

Programme overview

Equips students with advanced skills in AI, machine learning and ethical decision-making to create innovative solutions and lead AI initiatives across industries. Approved for asynchronous distance education.

Faculty: College of Engineering | Department: Department of Computer Science and Engineering | Study mode: full-time | Location: College Station, TX, United States

What you will study

Minimum 30 credit hours for both thesis and non-thesis options. Thesis requires a research proposal, final examination and thesis; non-thesis requires no final examination. Foreign language is not required.

Official programme page

Application information

Entry requirements

Texas A&M University graduate applicants (university-wide): TOEFL iBT overall 80 for tests taken before 21 Jan 2026 (4.5 overall with at least 4.0 per section for later tests), IELTS Academic 6.0 overall, TOEFL Essentials 8.5, or GRE Verbal 146 / GMAT Verbal 77 subject to departmental approval; exempt if a full US baccalaureate or higher was completed. Programme-specific requirements are set by the department.

Requirements published at program group level.

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

Graduate admission is handled by each programme; applicants apply through the Texas A&M GraduateCAS or the programme's own application, and deadlines are set by the department.

The graduate application processing fee is $65, in addition to the centralized application service fee. Deadlines and required documents are set by each department; GRE score code 6003 (non-engineering) and 4119 (engineering).

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