Northwest Missouri State University

What you'll study

The Computational Mathematics emphasis combines the core mathematical curriculum with courses in numerical methods, scientific computing and programming. You will develop theoretical understanding and hands-on skills to formulate, analyse and solve quantitative problems using computers.

• Core calculus and analysis: Calculus sequence, Multivariable Calculus, Introduction to Real Analysis.
• Algebra and discrete mathematics: Linear Algebra, Abstract Algebra, Discrete Mathematics.
• Modelling and differential equations: Ordinary Differential Equations, Mathematical Modelling for the physical and social sciences.
• Computational and numerical courses: Numerical Analysis, Numerical Linear Algebra, Scientific Computing, Computational Methods for Differential Equations.
• Programming and data skills: Instruction in programming languages commonly used in scientific computing (for example Python, MATLAB or similar), data structures and introductory algorithms.
• Statistics and probability: Probability Theory, Mathematical Statistics, applied statistics for data analysis.
• Capstone and research: Senior seminar, capstone project or undergraduate research experience that integrates mathematical theory, modelling and computational implementation.

Courses emphasise problem formulation, numerical stability, error analysis and the practical implementation of algorithms. Electives and directed-study options allow students to focus on areas such as scientific data analysis, optimisation, machine learning foundations or computational finance.

Entry requirements

Applicants should hold a recognised secondary school qualification with strong performance in mathematics. Typical preparation includes advanced secondary mathematics such as calculus or its equivalent. Selection considers the overall academic record, subject-specific preparation in mathematics and science, and readiness for university-level quantitative work.

• Successful completion of secondary education with evidence of strong mathematics background.
• Transcripts from previous study; applicants transferring from other institutions should provide college transcripts demonstrating preparation in calculus and algebra.
• A personal statement and academic references are typically required and used to assess motivation and fit; some applicants may be invited to discuss their preparation.
• International applicants must meet the university's general admission and English language proficiency requirements.

Career prospects

Graduates with a Computational Mathematics emphasis are prepared for a wide range of quantitative and technical roles. The programme balances theory and computation to make students attractive to employers in industry, government and research.

• Data analyst or data scientist roles, where mathematical modelling and programming are central.
• Software development and engineering positions that require algorithmic thinking and numerical methods.
• Computational scientist or research assistant positions in engineering, finance, environmental modelling or life sciences.
• Actuarial and risk-analytic careers (often combined with professional actuarial exams).
• Operations research and optimisation roles in logistics, manufacturing and supply-chain sectors.
• Graduate study in applied mathematics, computational science, statistics, computer science or engineering, and secondary-school mathematics teaching for those pursuing certification paths.

Why study at Northwest Missouri State University

Northwest Missouri State University offers a student-centred environment with substantial opportunities for undergraduate research and close faculty mentoring. The Department of Mathematics provides a curriculum that integrates computational training with core mathematical theory, allowing students to build practical coding and modelling experience alongside rigorous coursework.

• Small class sizes and accessible faculty who supervise capstone projects and research activities.
• Access to computing facilities and software commonly used in scientific and numerical work.
• Opportunities for internships and partnerships with regional employers and research collaborators that help translate classroom learning into practical experience.
• Supportive resources for career development, tutoring and teacher-preparation pathways for students interested in secondary education.