University of Missouri

What you'll study

The computational mathematics pathway combines core mathematics courses with applied and computational subjects. Typical study includes a sequence of calculus, multivariable calculus and differential equations; linear algebra and matrix theory; real analysis or honours analysis; and abstract algebra. Applied and computational modules commonly include numerical analysis, numerical linear algebra, scientific computing, partial differential equations and computational modelling.

• Core theoretical modules: calculus sequence, linear algebra, real analysis, abstract algebra
• Computational and applied modules: numerical methods, numerical linear algebra, scientific computing, computational PDEs, optimisation and approximation theory
• Programming and tools: practical programming for mathematicians (Python, MATLAB or similar), data structures and numerical libraries, high-performance computing concepts
• Supporting subjects and electives: probability and statistics, mathematical modelling, machine learning electives, and options in computer science, engineering or physics
• Capstone/Research: a senior project, practicum or undergraduate research project applying computational methods to a real problem

The curriculum emphasises problem-solving, algorithm design and the implementation of reliable numerical solutions. Students can expect a mix of lectures, problem classes, computing labs and project work. Many students augment the degree with internships or undergraduate research placements to gain practical experience.

Entry requirements

Applicants should hold a high-school diploma or equivalent with strong performance in mathematics. Recommended preparation includes pre-calculus and calculus (including exposure to limits, derivatives and integrals); coursework in computer science or programming is advantageous. Admissions consider overall academic record, coursework difficulty and preparatory STEM subjects.

• Academic preparation: strong secondary-school mathematics (calculus preferred) and coursework demonstrating quantitative ability
• Recommended skills: basic programming experience and familiarity with algebra, trigonometry and pre-calculus topics
• International applicants: proof of English language proficiency according to the university's published requirements
• Transfers: students with completed college-level calculus and linear algebra may receive credit and enter advanced major courses

Career prospects

Graduates with a computational mathematics background go into a wide range of quantitative and technical roles. The combination of mathematical rigour and computational skill is valued across industry and academia.

• Data science and analytics roles, including data analyst and data scientist positions
• Software and algorithm development, particularly in scientific and numerical computing
• Quantitative roles in finance, risk modelling and actuarial analysis
• Engineering and simulation roles in aerospace, energy and manufacturing
• Further study: master’s or doctoral programmes in applied mathematics, computational science, statistics, computer science or engineering
• Research positions: work with university research groups or national laboratories on modelling and simulation projects

Why study at University of Missouri

The University of Missouri offers a mathematics programme with opportunities to blend theory and computation within a research-active department. Students benefit from access to computing facilities, collaborative links with Computer Science and Engineering faculties, and structured support for undergraduate research and internships.

• Hands-on computational training with opportunities to use scientific computing tools and high-performance computing resources
• Access to faculty-led research projects and the possibility to complete an honours or senior research project
• Interdisciplinary options, allowing majors to take applied electives in computer science, statistics, physics and engineering
• Career services and employer connections regionally and nationally to support internship and job placement

Overall, the programme prepares students for technical careers that require strong analytical thinking and practical numerical skills, and for graduate study in computationally oriented fields.