University of Memphis

What you'll study

This degree blends core pure mathematics with applied and computational coursework. Early years focus on foundational topics such as calculus, multivariable calculus, linear algebra and discrete mathematics, together with an introduction to proof-based mathematics. As you progress you study advanced topics including real analysis, abstract algebra and differential equations, while specialised computational modules cover numerical analysis, scientific computing, mathematical modelling, optimisation and algorithms.

• Calculus sequence and multivariable calculus
• Linear algebra and matrix theory
• Discrete mathematics and combinatorics
• Differential equations and dynamical systems
• Real analysis and introduction to proofs
• Numerical analysis and numerical linear algebra
• Scientific computing and programming (Python, MATLAB or similar)
• Mathematical modelling and optimisation
• Probability, mathematical statistics and stochastic processes
• Electives in data science, machine learning, computational biology or financial mathematics
• Capstone project or undergraduate research experience with faculty supervision

Laboratory and computing components are integrated into computational courses, developing practical skills in scientific programming, numerical simulation and data analysis. Students may also combine the degree with minors or certificates in computer science, statistics, data analytics or actuarial science.

Entry requirements

Applicants are normally expected to hold a high school diploma or equivalent with a strong background in mathematics. Typical preparation includes courses in algebra, geometry and precalculus; prior exposure to calculus (including AP or IB calculus) is highly recommended. Universities usually consider overall academic record, strength of mathematics courses, and may require placement testing to determine appropriate starting level.

Transfer applicants should present college-level calculus and other mathematics courses for transfer credit. International students must demonstrate proficiency in English. Applicants intending to undertake the computational stream will benefit from some prior programming experience, although introductory programming courses are available.

Career prospects

Graduates with a computational mathematics specialism are prepared for a wide range of quantitative and technical roles. Common career paths include:

• Data analyst, data scientist or business intelligence roles in private and public sectors
• Software engineering and algorithm development
• Quantitative analyst or risk analyst in finance
• Actuarial work (with additional professional exams)
• Operations research and optimisation roles in logistics and manufacturing
• Modelling and simulation roles in engineering, environmental science or biomedical research
• Further study at graduate level (master’s or PhD) in mathematics, applied mathematics, statistics, computer science or engineering

Internships, undergraduate research and project work help students build portfolios attractive to employers across Memphis’s commercial sectors, including logistics, healthcare and technology.

Why study at University of Memphis

The University of Memphis offers a Mathematics programme with opportunities to combine rigorous theory with hands-on computational experience. The Department of Mathematical Sciences provides access to faculty-led research projects, a variety of advanced computing resources and regular seminars that connect students with current research and industry applications.

Located in a metropolitan area with strong logistics, healthcare and technology sectors, the university facilitates internship and partnership opportunities with local employers. Undergraduate students can participate in supervised research, summer research programmes, and joint projects with other departments such as computer science, engineering and economics. Academic support services, tutoring and advising are available to help students succeed and prepare for graduate study or professional careers.