Master of Science in Data Science at Texas A&M University

Programme overview

The Master of Science in Data Science is a multidisciplinary degree built on strengths in Statistics, Computer Science and Engineering, Electrical and Computer Engineering, and Mathematics. The Department of Statistics is its academic home, and the Texas A&M Institute of Data Science coordinates joint governance.

Faculty: Interdisciplinary Programs | Department: Statistics (administrative home; joint with Computer Science and Engineering, Electrical and Computer Engineering, Mathematics) | Duration: 30 semester credit hours (non-thesis) | Study mode: full-time | Location: College Station, TX, United States

What you will study

Students complete 30 semester credit hours of non-thesis coursework: 4 required core courses (Mathematical Foundations for Data Science, Statistical Foundations for Data Science, Data Mining and Analysis, and Databases and Computational Tools Used in Big Data) and 6 electives, with tracks offered by each of the four participating departments. No final examination is required.

Career pathways

Consulting agencies, financial services firms, government agencies, healthcare and pharmaceutical companies, marketing services, private commercial corporations and technology companies.

Official programme page

Application information

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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