Augustana University

What you'll study

This programme gives a blend of theory and applied skills in quantitative analysis for managerial decision-making. Core modules typically cover probability and statistical inference, optimisation and linear programming, stochastic models and simulation, and econometrics. You will also study management-focused topics such as operations research, decision analysis, supply chain analytics and risk management.

Practical computing and data modules teach programming for analysis (commonly Python and R), database handling, and the use of industry-standard optimisation and simulation packages. The curriculum usually culminates in a substantial applied project or practicum with a real client, or a research thesis supervised by faculty, allowing you to demonstrate the use of quantitative methods to solve business problems.

• Typical modules: Statistical Methods for Managers, Optimisation and Linear Programming, Stochastic Processes and Simulation, Econometrics and Time Series, Data Mining and Machine Learning for Business, Operations Management and Supply Chain Analytics, Decision Analysis and Risk Modelling.
• Capstone: Applied project or thesis with options for internship-based practicum with a regional business, non-profit or public agency.
• Teaching methods: Lectures, hands-on computer labs, case studies, group projects, and supervised research.

Entry requirements

Applicants are normally expected to hold an undergraduate degree in a quantitative or related discipline such as mathematics, statistics, economics, engineering, computer science or business with substantial quantitative content. Admissions assessors look for evidence of numerical competence and academic readiness for postgraduate study.

• Transcripts demonstrating strong performance in quantitative coursework.
• A CV or résumé outlining relevant academic or professional experience.
• A personal statement describing your motivation, relevant skills and proposed areas of study or project interest.
• Two academic or professional references.
• International applicants are required to provide evidence of English language proficiency where applicable.

Standardised tests (such as the GRE) may be optional or considered on a case-by-case basis; professional experience in analytics, programming or operations can strengthen an application where undergraduate preparation is less directly aligned.

Career prospects

Graduates are prepared for analytical and management roles where quantitative decision-making is central. Common career paths include operations research analyst, data scientist, business or management analyst, supply chain analyst, risk analyst, pricing analyst and consultancy roles. Employers span sectors such as manufacturing, logistics, finance, healthcare, government and technology.

The programme also provides a route into doctoral research in management science, operations research, quantitative economics or related fields for those aiming at a career in research or higher education.

Why study at Augustana University

Augustana offers a close-knit learning environment with small class sizes and frequent access to faculty mentors, which is especially valuable for applied, technical masters-level work. The institution emphasises experiential learning and liberal-arts-informed critical thinking, so students gain both technical competence and the communication and ethical reasoning skills employers value.

Students benefit from opportunities for project work with local and regional organisations, personalised career support, and a curriculum designed to balance rigorous quantitative training with real-world applications. The programme is suited to students who want focused technical training delivered in a supportive, collaborative campus setting.