Texas A&M University - College Station

54 Programs 2 Degree levels
Masters

Mathematics MS

DegreeMasters
FieldMathematics
A

Cost & earnings at Texas A&M University - College Station What students borrow here, and what they go on to earn

You borrow $17,804 median federal debt
You repay $202/mo over 10 years
Graduates earn $72,097 10 yrs after entry
Debt clears in 0.6 yrs of the salary premium
US Department of Education figures See the full breakdown →
C

Mathematics graduates earn a median $52,959 Across 356 US programmes, two years after finishing

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The Master of Science in Mathematics at Texas A&M University–College Station is a research‑oriented and course‑based graduate programme that develops advanced theoretical and applied mathematical skills. It suits students who hold a solid undergraduate mathematics or closely related degree and who aim for careers in research, industry, data science, finance, engineering, or further doctoral study.

What you'll study

The Mathematics MS offers both thesis and non‑thesis options, allowing students to focus on pure mathematics, applied mathematics, or a blend of both. Core graduate coursework typically covers real and complex analysis, abstract algebra, and topology, while elective choices include differential equations, numerical analysis, dynamical systems, mathematical modelling, probability and stochastic processes, and optimisation.

Students following the thesis route undertake independent research under faculty supervision and write a master's thesis. Non‑thesis students complete additional coursework and often a substantial capstone project or comprehensive exam. Seminar participation and qualifying or preliminary examinations are common components of the programme, providing training in problem solving, mathematical exposition and presentation.

  • Typical modules: Real Analysis, Complex Analysis, Abstract Algebra, Topology, Numerical Analysis, Partial Differential Equations, Applied Analysis, Probability and Stochastic Processes.
  • Specialist electives: Mathematical Modelling, Dynamical Systems, Optimisation, Computational Mathematics, Mathematical Statistics.
  • Research and assessment: supervised thesis (thesis option) or advanced coursework plus project/exam (non‑thesis option).

Entry requirements

Applicants are normally expected to hold a bachelor's degree in mathematics or a closely related discipline with substantial mathematical content. A strong foundation in undergraduate real analysis, linear algebra, and multivariable calculus is expected. Typical application materials include official transcripts, letters of recommendation, a statement of purpose outlining academic and research interests, and a curriculum vitae.

Admissions committees consider the rigor of the applicant's prior coursework, grades in key mathematics subjects and readiness for graduate‑level study. Some applicants with strong quantitative background in physics, engineering, computer science or statistics may be admitted, often with recommended prerequisite coursework. Standardised tests are subject to departmental policy; applicants should consult the department for current guidance.

Career prospects

Graduates of the Mathematics MS go on to a wide range of careers. Many proceed to doctoral study in mathematics, applied mathematics, statistics or related fields. Others move into industry roles that value advanced quantitative and analytical skills, such as data science, analytics, quantitative finance, software and algorithm development, engineering analysis, operations research and modelling.

Additional career paths include positions in government laboratories, defence and intelligence agencies, consulting firms, and educational roles teaching at the college level. The programme’s combination of theoretical foundations and applied options equips graduates for roles that require rigorous problem solving and mathematical modelling.

Why study at Texas A&M University - College Station

Texas A&M’s Department of Mathematics is housed within a large research university with strong connections to engineering, physical sciences and computational research centres, enabling interdisciplinary collaboration. The department hosts research groups across pure and applied areas, offering opportunities for graduate students to work with faculty on problems in analysis, algebra, applied and computational mathematics.

Graduate students benefit from a range of teaching and research assistantships, departmental seminars, and access to campus research infrastructure and career services. College Station’s proximity to industry and national laboratories in Texas also supports internships and applied project collaborations. The department emphasises professional development, preparing students for both academic and non‑academic careers through mentoring, seminar experience and research training.

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Programme details are indicative and may change — always verify current information with the official university website before applying.