Shawnee State University

What you'll study

The programme emphasises numerical and computational techniques applied to problems in engineering, physical sciences and data analysis. Core topics typically include numerical analysis, numerical linear algebra, scientific computing, and numerical solution of ordinary and partial differential equations. You will also study mathematical modelling, optimisation methods, and applied probability and statistics as they relate to computational work.

Students gain hands-on experience with scientific programming and software tools commonly used in the field (for example Python, MATLAB and libraries for numerical linear algebra), and complete coursework in algorithm design, performance considerations and verification/validation of numerical solutions. The curriculum usually offers a choice between a research thesis and a project-based option, allowing you to pursue deeper theoretical work or a practicum with applied outcomes. A graduate seminar or capstone presentation component helps develop communication skills for technical audiences.

• Numerical Analysis
• Scientific Computing and Programming
• Numerical Linear Algebra
• Computational Methods for PDEs
• Mathematical Modelling and Simulation
• Optimisation and Applied Statistics
• Graduate Seminar and Thesis/Project

Entry requirements

Applicants are normally expected to hold a bachelor’s degree in mathematics, applied mathematics, engineering, computer science or a closely related field. Admission typically requires a solid background in calculus, linear algebra, differential equations and some programming experience. Departments commonly look for a satisfactory undergraduate GPA; specific minimums and policies are detailed in the university’s admissions materials.

Application materials generally include official transcripts, a personal statement describing your quantitative training and goals, and one or more academic or professional references. Where an applicant’s preparation is incomplete, conditional admission with prerequisite coursework or bridge classes may be offered. International applicants must demonstrate English language proficiency in accordance with university requirements.

Career prospects

Graduates from a computational mathematics master’s programme are prepared for a wide range of technical careers. Typical roles include computational scientist, numerical analyst, data scientist, quantitative analyst, software engineer for scientific applications, and modelling and simulation specialist. Employers span industries such as engineering firms, energy and manufacturing companies, financial services, government laboratories and research institutes.

The degree also provides a strong foundation for continued academic study at the PhD level, or for work in interdisciplinary teams where advanced quantitative and computational skills are required. Smaller class sizes and project options can help build a portfolio of applied work useful for employment.

Why study at Shawnee State University

Shawnee State University offers a student-centred environment with relatively small class sizes and direct access to faculty, which supports close mentoring on computational projects and theses. The mathematics department emphasises applied and computational training that aligns with regional industry needs and cross-disciplinary collaboration with engineering and computer science fields.

Students benefit from flexible scheduling and options to engage with applied research or project work that addresses real problems. The university’s location and community partnerships can provide opportunities for internships and collaborations with local employers, while the curriculum focuses on practical programming, numerical methods and model development skills that are in demand in both industry and research settings.