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Master of Science in Quantitative Finance at Texas A&M University

Texas A&M University, United States

Programme overview

A non-thesis degree offered by the Department of Finance with the Department of Mathematics for quantitative and technical roles such as risk management, portfolio management, quantitative trading, model development, data and analytics, fintech and software development. It is designed for STEM and Finance majors.

Faculty: Mays Business School  |  Department: Finance (with Mathematics)  |  Study mode: full-time  |  Location: College Station, TX, United States

What you will study

Requires 36 semester credit hours of approved coursework with no thesis or final examination. Students complete a 9-credit residence at Texas A&M and may transfer up to one-third of credits.

Career pathways

Risk management, portfolio management, quantitative trading, model development, data and analytics, fintech and software development.

Official programme page

Application information

Entry requirements

Open to current Texas A&M sophomores, juniors and seniors and to non-Texas A&M graduates with equivalent prerequisites. Prerequisites, each with a grade of B or higher by the end of the spring semester following admission: accounting (ACCT 209, or ACCT 229/ACCT 640), economics (ECON 202 or 203) and mathematics (MATH 171 and 172, or MATH 151 and 152, or equivalents). Linear algebra, differential equations, statistics and some coding experience are highly recommended.

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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