William Paterson University

Programme overview

This undergraduate programme combines foundations in business with applied quantitative and computing skills to prepare students for analytics roles across industries. Coursework emphasizes data-driven decision making, data preparation, statistical analysis, and communicating results to non-technical stakeholders.

What you'll study

Students study a mix of business core subjects and analytics-focused courses. Core topics typically include principles of management, marketing, and finance alongside statistics, database management, predictive modeling, data visualization, and introductory programming for analytics. Applied projects and case studies teach students how to translate technical results into business recommendations.

Entry requirements

Admission is based on typical undergraduate criteria: a secondary-school diploma or equivalent, evidence of college readiness in mathematics, and any university-specific application materials. Students without prior programming or statistics experience can usually begin with introductory courses; those with relevant coursework may place out of fundamentals.

Career prospects

Graduates move into roles such as business analyst, data analyst, reporting analyst, and operations analyst, working in sectors like finance, healthcare, retail, and consulting. The degree also provides a foundation for graduate study in analytics, data science, or related business fields, or for professional certifications in analytics platforms and tools.

Scholarships & funding angle (general)

Prospective students should explore institution-wide undergraduate scholarships, merit awards, and need-based aid. Additional funding avenues include department scholarships for STEM and business students, internship stipends, and external scholarships from professional associations in analytics and business. Early contact with the university's financial aid office can clarify options and application steps.