Michigan State University

What you'll study

The programme combines a strong foundation in core mathematical theory with applied and computational coursework. Early study typically covers calculus, multivariable calculus, linear algebra and differential equations. From there students move into applied-focused modules such as numerical analysis, scientific computing, mathematical modelling, optimisation, probability and mathematical statistics, and partial differential equations.

Students usually take laboratory-style computational courses that emphasise programming (commonly using languages such as Python, MATLAB or C), algorithms for numerical linear algebra, and data-oriented methods. Electives allow specialisation into areas such as dynamical systems, stochastic processes, mathematical biology, operations research, financial mathematics and machine learning.

The curriculum is structured to include:

• Core theoretical courses in analysis and algebra to develop rigorous reasoning.
• Applied and computational modules focused on numerical methods and modelling.
• Supporting coursework in computer science, statistics, or a chosen application domain (engineering, physics, economics, life sciences).
• Capstone experiences such as a senior project, internship, or research with faculty, emphasising real-data problems and reproducible computation.

Entry requirements

Admission to the Bachelor of Science in Applied Mathematics follows Michigan State University's undergraduate admissions process. Applicants should present a strong college-preparatory secondary school record with emphasis on mathematics. Preparation in algebra, geometry and pre-calculus is required; completion of calculus in high school (or equivalent) is strongly recommended.

Competitive applicants typically demonstrate high achievement in mathematics courses and other quantitative subjects. Familiarity with basic computer programming is an advantage but not always mandatory. Transfer applicants should have completed introductory college-level calculus and related coursework to be placed appropriately in the major.

Career prospects

Graduates with a degree in applied mathematics are well placed for a wide range of careers that value quantitative problem-solving and computational skills. Typical roles include data analyst, quantitative analyst, software developer, operations research analyst, actuarial analyst, and roles in scientific computing and engineering.

Many alumni also pursue graduate study in applied mathematics, statistics, computer science, engineering or finance. The programme’s emphasis on modelling, numerical methods and programming prepares graduates for employment in technology, finance, manufacturing, energy, healthcare and research organisations, as well as for roles in government and consulting.

Why study at Michigan State University

Michigan State University offers an applied mathematics programme within a large research university environment, so students benefit from access to broad interdisciplinary resources. The Department of Mathematics provides experienced faculty who work on applied and computational problems, opportunities for undergraduate research, and connections to related departments including statistics, computer science and engineering.

Students gain practical experience through computing facilities, internships and collaboration with faculty on applied projects. MSU’s campus and career services also support industry connections in the Great Lakes region and beyond, helping students secure internships and full-time roles. The programme’s flexibility allows students to tailor studies toward specific applications or to prepare for graduate study.