Widener University

What you'll study

This programme blends core business fundamentals with a strong quantitative core. In the early years you will take foundational courses in microeconomics and macroeconomics, financial accounting, managerial accounting, business law and organisational behaviour alongside mathematics and statistics. Major-specific modules typically include:

• Calculus and Linear Algebra — mathematical tools for modelling and optimisation.
• Probability and Mathematical Statistics — inferential methods used in decision-making under uncertainty.
• Operations Research / Management Science — deterministic and stochastic optimisation, linear programming and integer programming.
• Data Analytics and Data Management — data cleaning, exploratory analysis, visualisation and use of statistical software (commonly R, Python or spreadsheet modelling).
• Forecasting and Time Series Analysis — methods for predicting demand, sales and other business metrics.
• Simulation Modelling — discrete-event simulation and Monte Carlo techniques.
• Supply Chain and Operations Management — inventory models, production planning and logistics.
• Decision Analysis and Risk Management — decision trees, utility theory and basic risk assessment approaches.
• Capstone Project or Senior Seminar — applied team project solving a real-world problem for an external partner or internal case study.

Electives and concentrations allow you to tailor the degree toward areas such as business analytics, finance, information systems or supply chain management. Practical learning opportunities — including internships, cooperative placements and laboratory-based assignments — feature throughout the programme to build applied skills.

Entry requirements

Typical applicants are expected to have a strong high school record with good performance in mathematics. For domestic applicants this usually means a high-school diploma with competitive grades and evidence of quantitative ability; standardised test submission may be optional depending on admission policies. For international applicants, an equivalent secondary-school qualification and proof of English language proficiency (for non-native English speakers) are required. Suggested preparation includes:

• High-school mathematics through algebra and calculus where available.
• Courses in statistics, computer science or economics if offered.
• Letters of recommendation and a personal statement outlining interest in quantitative business studies.

Specific entry requirements and any placement testing or preparatory course recommendations are provided by Widener University's admissions office and may vary by applicant background.

Career prospects

Graduates are well placed for analytical and operational roles across industries. Common entry-level job titles include operations analyst, data analyst, business analyst, supply chain analyst, forecasting analyst and financial analyst. With additional actuarial exams or finance coursework, graduates may move into risk analysis or actuarial positions. The quantitative training also provides a strong foundation for graduate study in business analytics, operations research, industrial engineering, economics or MBA programmes.

Employers include manufacturing and distribution firms, financial services, consulting companies, healthcare providers and public-sector organisations. The programme’s emphasis on hands-on projects and internships helps students build a portfolio of applied work and employer contacts.

Why study at Widener University

Widener offers small class sizes and direct access to faculty who blend academic research with industry experience, enabling personalised mentoring and practical guidance. The university emphasises experiential learning: you can expect laboratory sessions, team-based consulting projects with local businesses and internship or co-op opportunities that connect classroom theory to workplace practice. Campus career services support placement and professional development, while elective options and cross-disciplinary coursework allow you to combine quantitative skills with interests in finance, information systems or supply chain management.

For students seeking an applied, career-focused quantitative business degree, Widener’s programme balances technical rigour with practical experience to prepare graduates for analytic and managerial roles in a wide range of organisations.