Kansas Wesleyan University

What you'll study

The programme balances core mathematical theory with applied and computational coursework. You will progress from foundational topics to advanced, computation‑focused subjects through a mix of classroom work, laboratories and project-based learning.

• Foundational courses: Calculus sequence, Linear Algebra, Differential Equations and Discrete Mathematics that build the theoretical base.
• Computational core: Numerical Analysis, Scientific Computing, Mathematical Modelling and Algorithms focused on computational techniques for solving continuous and discrete problems.
• Programming and software: Applied programming for mathematicians using languages and tools such as Python, MATLAB or similar, plus coursework in data structures and computational problem solving.
• Statistics and probability: Introductory and intermediate Probability and Statistics courses that support data analysis and stochastic modelling.
• Capstone and projects: A senior capstone or research project applying computational methods to a real problem, often involving collaboration with faculty or local organisations.
• Electives and interdisciplinary options: Opportunities to take electives in computer science, physics, engineering, economics or data science to tailor the degree to specific interests.

Entry requirements

Kansas Wesleyan seeks students prepared for collegiate mathematics and computational work. Typical requirements include:

• High school diploma or equivalent with a strong record in mathematics.
• Successful completion of algebra, geometry and precalculus; prior exposure to calculus is advantageous.
• Official high school transcripts; standardised tests may be considered as part of the application where relevant but requirements can vary.
• Placement testing may be used to determine initial course placement in mathematics.
• Additional materials such as a personal statement or letters of recommendation can support the application, especially for transfer or non‑traditional applicants.

Career prospects

Graduates with a computational mathematics emphasis are prepared for a range of technical and analytical careers as well as graduate study. Common paths include:

• Data analyst, data scientist or business intelligence roles that require quantitative and programming skills.
• Software development and engineering positions where algorithmic thinking and numerical methods are valuable.
• Actuarial work or quantitative roles in finance, insurance and risk management (often pursued with additional professional exam preparation).
• Research or technical positions in engineering, physics or applied sciences that use modelling and simulation.
• Teaching at the secondary level (with completion of state certification) or continued graduate study in mathematics, applied mathematics, computer science or statistics.
• Internships and local industry placements that often lead to entry‑level employment in regional technology, manufacturing and government organisations.

Why study at Kansas Wesleyan University

Kansas Wesleyan offers a small, student‑centred learning environment where mathematics students benefit from close faculty mentorship and frequent opportunities for hands‑on work. The university emphasises undergraduate research and project-based learning, allowing students to apply computational methods to real problems and to present findings in capstone experiences.

Students in the programme have access to on‑campus computing resources and labs, personalised advising to shape electives and career preparation, and connections with local employers and regional internship opportunities. The liberal arts context also supports development of communication and teamwork skills valued by employers and graduate programmes.