University of Mount Union

What you'll study

This programme combines management theory with rigorous quantitative techniques to support effective organisational decision making. Core topics typically include statistical inference and applied regression, multivariate analysis, forecasting, optimisation and linear programming, simulation modelling, decision analysis, and quantitative project management.

Students also study management-orientated subjects such as operations management, managerial economics, information systems for decision support, and research methods. Learning is applied through a capstone project, practicum or applied research thesis where students address a real-world management problem using quantitative tools and data.

• Examples of modules: Applied Statistical Methods; Regression and Forecasting; Operations Research and Optimisation; Simulation and Risk Analysis; Data Management and Visualisation; Management Information Systems; Project Planning and Control; Quantitative Research Design; Capstone in Management Sciences.
• Assessment methods: a mix of case studies, data-driven projects, written assignments, exams and a final capstone or thesis.
• Format: programme delivery emphasises small-group tutorials, hands-on labs with statistical and optimisation software, and faculty-supervised applied projects. Options may exist for full-time, part-time or evening study depending on student needs.

Entry requirements

Applicants are normally expected to hold a recognised bachelor’s degree in business, economics, mathematics, statistics, engineering, computer science or a related discipline. A demonstrable quantitative background—through prior coursework in calculus, statistics or linear algebra—is typically required.

• Academic transcript: evidence of undergraduate degree from an accredited institution.
• Supporting materials: statement of purpose, current résumé or CV, and academic or professional references.
• Standardised tests: some applicants may be asked to submit GRE/GMAT scores if their academic background does not clearly demonstrate quantitative preparation; check programme guidance for specifics.
• Experience: relevant professional experience can strengthen an application, particularly for part-time or executive pathways.
• English language: if required, proof of English proficiency through recognised tests or exemptions where applicable.

Career prospects

Graduates leave prepared for analytical and management roles where quantitative reasoning informs strategic decisions. Typical job titles include operations analyst, business analyst, data analyst, supply chain analyst, risk analyst, pricing analyst and management consultant.

Alumni find roles across sectors such as manufacturing and logistics, healthcare systems, finance and banking, consulting firms, technology companies and public agencies. The skill set is also appropriate for progression to specialised master’s or doctoral research programmes for those pursuing an academic or research career.

Why study at University of Mount Union

The University of Mount Union offers a learning environment characterised by small class sizes and close faculty supervision, allowing for personalised feedback and a strong applied focus. Faculty in management and quantitative disciplines often combine academic research with practical industry experience, supporting applied projects that connect students with regional employers.

Students benefit from access to software and lab resources for data analysis and optimisation, as well as career services that assist with internships and employer networking. The programme’s emphasis on experiential learning—through capstones, consulting-style projects and practicum opportunities—prepares graduates to contribute quickly in quantitative and managerial roles.