Eastern Michigan University

What you'll study

The degree emphasises computational methods, mathematical foundations and practical software skills used to model and analyse complex systems. Core topics typically include programming and data structures, numerical analysis and numerical linear algebra, mathematical modelling, differential equations, probability and statistics, and algorithms. Students also study domain-based applications such as computational physics, computational biology or engineering simulations, and take courses in scientific visualisation, high-performance computing and software engineering.

Programme structure commonly includes a combination of general education requirements, a set of required core computing and mathematics courses, electives chosen from complementary science or engineering disciplines, and a senior capstone or research project where students apply computational techniques to a substantive problem. Many students undertake internships or work with faculty on research projects to gain practical experience.

Entry requirements

Admission is at undergraduate level and typically requires a completed high-school qualification or equivalent with strong preparation in mathematics. Recommended preparation includes college-preparatory mathematics through pre-calculus or calculus, and some background in algebra and basic sciences. Familiarity with programming is advantageous but not always required; introductory programming courses are offered within the programme for those without prior experience.

For applicants from outside the United States, satisfactory proof of English language proficiency is required. Transfer students may be admitted with appropriate college-level coursework in mathematics and computer science; placement into higher-level courses may depend on prior credits and advising.

Career prospects

Graduates are prepared for roles that require computational modelling, data analysis and software development. Common career paths include computational scientist or research technician, data analyst, software developer, scientific programmer, simulation engineer and roles in finance or technology that use quantitative modelling. Alumni also progress to postgraduate study in computational science, applied mathematics, computer science, engineering or interdisciplinary fields, as well as research positions in industry and academia.

The degree provides practical skills valued by employers in sectors such as engineering, healthcare and biotechnology, environmental modelling, defence, automotive and finance. Internship experience, capstone projects and undergraduate research can strengthen employability and professional networks.

Why study at Eastern Michigan University

Eastern Michigan University offers a learning environment with relatively small class sizes and accessible faculty, enabling close mentorship on computational and interdisciplinary projects. The university’s proximity to the Ann Arbor and Detroit technology and research communities provides opportunities for internships and collaborations with industry and research institutions.

Students benefit from computer laboratories, access to parallel and high-performance computing resources when available, and opportunities for undergraduate research and a capstone experience that emphasises applied problem-solving. The programme’s interdisciplinary focus makes it easy to combine computational study with electives in biology, physics, engineering or data science to match individual career goals.