Pace University

What you'll study

This programme blends foundational business courses with quantitative and computational subjects to prepare students for data-driven management roles. Study typically spans general education requirements, core business courses from the Lubin School of Business, and a focused sequence in management science and quantitative methods.

• Core business foundations: introductory finance, accounting, marketing, organisational behaviour and management principles that give context for quantitative applications.
• Quantitative core: business statistics, probability theory, linear algebra, and multivariate calculus applied to business problems.
• Methods and modelling: operations research, optimisation techniques, decision analysis, forecasting, simulation modelling and supply chain analytics.
• Data and computing: programming for data analysis (commonly Python or R), database design and SQL, data visualisation, and introductory machine learning methods relevant to managerial decision making.
• Applied electives and domain courses: courses in finance, risk management, marketing analytics, project management, and enterprise systems to apply quantitative methods in business contexts.
• Capstone or practicum: a senior project or practicum that integrates quantitative methods with a real-world business problem; many students undertake internships with New York–area companies or complete client-based projects through university partnerships.

Entry requirements

Applicants are expected to have completed secondary education with a strong preparation in mathematics; coursework in algebra, precalculus or calculus and basic statistics is advantageous. Admissions assess overall academic record, recommendation letters, personal statement and any relevant extracurricular or work experience demonstrating quantitative aptitude.

• Domestic applicants: high school diploma with demonstrated strength in mathematics and analytical subjects; transfer applicants should provide college transcripts and descriptions of completed quantitative coursework.
• International applicants: equivalent secondary-school completion plus proof of English proficiency through recognised tests or equivalent documentation.
• Additional considerations: some students are admitted on the basis of strong potential and provided with preparatory courses if they need to strengthen particular quantitative skills before taking advanced modules.

Career prospects

Graduates leave prepared for roles that require analytical rigour and business understanding. The degree is versatile and valued across industries where data and modelling inform strategy and operations.

• Business analyst, data analyst or analytics consultant
• Operations or supply chain analyst and optimisation specialist
• Risk analyst, pricing analyst or roles in financial analytics
• Management consultant or strategy roles requiring quantitative assessments
• Technology roles that combine programming and business domain knowledge, such as product analytics or data engineering support
• Pathways to graduate study in fields such as business analytics, operations research, finance or applied statistics

Why study at Pace University

Pace’s location and the Lubin School of Business provide strong advantages for students seeking practical, career-focused training in management science. The university’s proximity to New York City offers broad internship and employer engagement opportunities across finance, consulting, technology and logistics.

• Industry connections: access to internships, employer projects and networking events with companies based in New York.
• Experiential learning: emphasis on applied coursework, capstone projects and opportunities to work on real client problems.
• Small class sizes and faculty expertise: instruction from faculty with backgrounds in operations research, analytics and business practice, with opportunities for mentorship.
• Career support: dedicated career services and recruiting activities that help match students with roles in analytics, operations and finance.