Norwich University

What you'll study

This undergraduate programme builds a strong foundation in pure and applied mathematics and emphasises numerical methods and computational tools. Core sequencing typically includes multivariable calculus, linear algebra, differential equations, and probability and statistics. From there you will progress to more specialised modules such as numerical analysis, scientific computing, mathematical modelling, optimization, and partial differential equations.

Computational and programming components run throughout the degree: students normally take courses in data structures and algorithms, numerical linear algebra, and high-level scientific programming (for example Python, MATLAB, or similar). Elective options allow you to pursue topics like machine learning, cryptography, computational geometry, dynamical systems, or financial mathematics. The programme culminates in a senior capstone or honours project involving a computational research problem, software development project, or industry-linked internship.

• Foundations: Calculus I–III, Linear Algebra, Differential Equations
• Core computational maths: Numerical Analysis, Scientific Computing, Numerical Linear Algebra
• Applied and theoretical: Real Analysis, Probability & Statistics, Mathematical Modelling
• Programming and systems: Data Structures & Algorithms, Computational Tools and Software
• Capstone: Senior Project or Research Thesis with computational focus

Entry requirements

Applicants should hold a high school diploma or equivalent with a strong background in mathematics. Successful applicants typically have completed courses in algebra, geometry, trigonometry and at least introductory calculus; prior exposure to programming is advantageous but not always required.

Application materials usually include official transcripts, a personal statement outlining interest in mathematics and computational work, and at least one academic reference. Norwich University considers the whole applicant profile; standardised test submission may be optional depending on current admissions policies. International applicants must present equivalent secondary qualifications and demonstrate English language proficiency through recognised tests or institutional pathways unless exempt.

Career prospects

Graduates with a computational mathematics degree are well placed for careers that require quantitative analysis and software skills. Typical roles include data scientist or analyst, quantitative analyst in finance, software developer for scientific applications, operations research analyst, actuarial analyst, and computational scientist in industry or government laboratories. Many graduates also progress to postgraduate study in mathematics, computer science, statistics, engineering or applied fields.

Hands-on computational experience and a final-year project enhance employability by demonstrating ability to tackle real problems, build reproducible code and present results to technical and non-technical audiences. Norwich’s career services and internship connections can help students secure placements in technology companies, financial firms, engineering consultancies and research organisations.

Why study at Norwich University

Norwich offers a close-knit learning environment with small class sizes and accessible faculty, allowing substantial one-to-one mentoring during coursework and research. The mathematics programme integrates computational labs and modern software tools so students gain practical experience alongside mathematical theory.

Students benefit from interdisciplinary opportunities across computer science, engineering and business, and can pursue internships or research projects with local and regional partners. Norwich’s emphasis on leadership and experiential learning—available through both civilian and Corps of Cadets pathways—helps develop communication and project-management skills valued by employers. These combined academic and professional-development resources make Norwich a solid choice for students aiming to apply mathematics computationally in industry, government or advanced study.