Valparaiso University

What you'll study

This programme emphasises quantitative techniques and their application to management problems. Core topics include probability and statistical inference, regression and forecasting, optimisation and linear programming, simulation and stochastic processes, and decision analysis. You will also study foundational business subjects such as accounting, finance, marketing and organisational behaviour to ground your quantitative skills in business context.

Hands-on skill development is a strong focus: students learn programming for analytics (commonly R and Python), database querying, data visualisation, and the use of statistical and optimisation software. Typical modules and subject areas include:

• Statistical Methods for Management – sampling, estimation, hypothesis testing and regression.
• Applied Econometrics and Forecasting – time series analysis and predictive modelling.
• Operations Research and Optimisation – linear and integer programming, network models and heuristics.
• Simulation Modelling – Monte Carlo methods and simulation of business processes.
• Data Management and Visualisation – databases, SQL, dashboards and effective presentation of quantitative results.
• Decision Analysis and Risk Management – decision trees, utility, risk assessment and trade-off analysis.
• Business Core Courses – introduction to accounting, finance, marketing and management to ensure applicability of quantitative tools.

The degree typically culminates in a senior capstone or practicum where students work on a substantial, often client-based, applied project that integrates modelling, data analysis and managerial recommendations. Electives allow specialisation in areas such as supply chain analytics, health-care analytics, or financial modelling. Internship placements and community-based projects are commonly integrated to provide experiential learning.

Entry requirements

Applicants are expected to have strong preparation in mathematics from secondary school, typically including algebra and pre-calculus; coursework in calculus or statistics is highly desirable. Admissions decisions consider a combination of academic record, strength of quantitative coursework, letters of recommendation and personal statement. For applicants who submit standardised tests, evidence of competency in mathematics can strengthen an application.

International applicants must demonstrate English language proficiency through accepted qualifications unless they have completed prior study in English. Transfer students are evaluated on their college transcript and may receive credit for relevant prior coursework.

Career prospects

Graduates move into roles that require analytical rigour and the ability to translate data into decisions. Common career paths include data analyst, operations analyst, business analyst, supply chain analyst, risk analyst and roles in forecasting, process improvement and consulting. The degree also provides strong preparation for graduate study in analytics, business (MBA), operations research, statistics or related fields.

Employers of graduates come from a range of sectors including manufacturing, logistics, finance, healthcare, technology and consulting. The programme’s emphasis on internships and applied projects helps students build a portfolio of practical experience that supports recruitment into entry-level professional roles or specialised analytic teams.

Why study at Valparaiso University

Valparaiso University offers a personalised undergraduate experience with small class sizes and close faculty mentorship, allowing for direct guidance on quantitative projects and research. The university’s liberal arts foundation supports broad-based development—communication, ethical reasoning and critical thinking—which complements technical quantitative skills.

Students benefit from experiential learning opportunities, including internships, community partnerships and capstone projects that connect classroom theory to organisational problems. Valparaiso’s location in the US Midwest and its network of alumni and industry contacts provide access to regional employers and practicum placements. The supportive campus environment and career services help students transition from study to professional roles or further academic study.