University of Cincinnati

What you'll study

The programme builds core expertise in mathematical analysis, modelling and numerical computation. You will study advanced topics such as ordinary and partial differential equations, numerical analysis and scientific computing, optimisation, and applied probability and stochastic processes. Course work emphasises the formulation and solution of problems arising in engineering, physical sciences, finance and data science.

• Core subjects: advanced calculus/real analysis, linear algebra and matrix analysis, differential equations (ODEs and PDEs), and numerical methods for differential equations.
• Computational and applied topics: numerical linear algebra, scientific computing, computational methods, mathematical modelling, and programming for scientific computation (commonly using MATLAB, Python or similar tools).
• Applied electives: optimisation and control, inverse problems, stochastic processes and applied probability, data analysis and machine learning, and specialised modelling areas (fluid dynamics, mathematical biology, or financial mathematics).
• Research and project work: students typically complete either a supervised research thesis or a substantial applied project/practicum. Seminar courses and reading courses are available to support independent research.
• Structure and duration: the programme is designed to be completed in full-time study over approximately two years, with part-time study options and flexible course sequencing available for working students.

Entry requirements

Applicants should hold a bachelor’s degree in mathematics, applied mathematics, engineering, physics, computer science or a closely related quantitative discipline. Successful applicants demonstrate strong preparation in calculus, linear algebra and differential equations, and some exposure to numerical methods and programming.

• Academic record: a good honours degree or equivalent from a recognised institution. Transcripts showing solid performance in relevant quantitative coursework are required.
• Application materials: completed application form, official transcripts, a statement of purpose outlining academic interests and career aims, and letters of recommendation (usually two or three).
• Language proficiency: international applicants must demonstrate English proficiency through accepted tests unless exempt.
• Additional considerations: while standardised test scores (such as GRE) may be optional or considered on a case-by-case basis, relevant research experience, strong programming skills, or prior project work can strengthen an application.

Career prospects

Graduates are prepared for technically demanding roles across industry, government and academia. Common career paths include data scientist, quantitative analyst, computational scientist, modelling and simulation engineer, operations research analyst, and roles in software development that require numerical and algorithmic expertise. Many graduates also continue to PhD study in applied mathematics, computational science, engineering or related disciplines.

The University of Cincinnati’s industry connections and emphasis on applied projects help students gain practical experience valued by employers in finance, manufacturing, energy, healthcare and technology sectors.

Why study at University of Cincinnati

University of Cincinnati offers a research-active Department of Mathematical Sciences with faculty working on a wide range of applied mathematics problems and strong links to engineering, physics and computing disciplines. The university’s focus on experiential learning and cooperative education provides opportunities to apply mathematical skills in real-world settings through projects, internships and industry collaborations.

Students benefit from access to modern computing facilities, interdisciplinary research centres and a supportive graduate community. The programme’s flexibility—thesis or project options, elective choices and part-time study—allows you to tailor training towards research, industry or data-driven careers.