Case Western Reserve University

What you'll study

The programme emphasises rigorous foundations in optimisation, probability and statistical modelling together with practical tools for large-scale, data-driven decision making. Core topics typically include linear and nonlinear programming, integer and combinatorial optimisation, network flows, stochastic processes, simulation, and statistical learning.

Students also study computational methods and software for optimisation and simulation, such as numerical optimisation algorithms, Monte Carlo methods and programming for data analysis. Coursework is complemented by applied electives that allow specialisation in areas such as supply chain analytics, healthcare operations, energy systems, financial engineering, and machine learning for decision support.

• Core modules: optimisation theory, stochastic modelling, applied probability, simulation and computational methods.
• Typical electives: supply chain modelling, healthcare systems engineering, data mining and machine learning, financial risk modelling, integer programming and network optimisation.
• Capstone/applied project: a practical modelling project or practicum with an industry, clinical or research partner is commonly available to apply methods to a real-world problem.
• Research options: students interested in further study can work on a thesis or research-directed project under faculty supervision in mathematical optimisation, stochastic systems or applied analytics.

Entry requirements

Applicants are expected to hold a bachelor’s degree in a quantitative discipline such as mathematics, statistics, engineering, computer science, economics or a related field. Strong preparation in calculus, linear algebra, probability and basic programming is normally required.

• Official undergraduate transcripts demonstrating solid quantitative coursework and academic performance.
• Letters of recommendation that address academic potential and quantitative abilities.
• A personal statement outlining relevant background, areas of interest within operations research and career goals.
• For applicants whose first language is not English, proof of English proficiency through an approved test is required.

Specific documentation requirements and minimum scores or GPA expectations are set by the university and can vary by applicant background; prospective students should consult the programme admissions pages for precise details and any additional expectations for applicants without a directly related undergraduate degree.

Career prospects

Graduates acquire technical skills that are in demand across industry, government and healthcare. Typical roles include operations research analyst, optimisation engineer, supply chain analyst, data scientist, quantitative analyst and management consultant focusing on analytics-driven decision support.

Employers include logistics and manufacturing firms, healthcare providers and hospitals, financial institutions, technology companies, energy and utilities, and public-sector agencies. The programme also prepares students for further graduate study and research careers in applied mathematics and systems engineering.

Why study at Case Western Reserve University

Case Western Reserve University offers an applied, interdisciplinary environment with strong connections to local industry and clinical partners. Students benefit from faculty with expertise in optimisation, stochastic systems and data analytics and from collaboration opportunities with nearby institutions and companies, including major healthcare organisations and engineering firms in the Cleveland region.

The university provides access to computing facilities, research centres and practicum opportunities that allow students to apply operations research methods to practical problems in healthcare, supply chains and energy. Small cohort sizes and close faculty supervision help students develop specialised skills and professional networks that support internships and career placement.