University of New Haven

What you'll study

This programme blends core business disciplines with rigorous training in mathematics, statistics and computational methods. You study subjects that include calculus and linear algebra, probability and mathematical statistics, and applied econometrics, alongside management courses such as microeconomics, organisational behaviour and operations management.

Typical modules and topics include:

• Calculus and Linear Algebra for modelling and optimisation
• Probability and Mathematical Statistics
• Regression Analysis and Econometrics
• Operations Research and Deterministic/ Stochastic Optimisation
• Simulation Modelling and Decision Analysis
• Data Analytics and Visualisation (using tools such as Python, R and SQL)
• Supply Chain and Inventory Models
• Forecasting and Time Series Analysis
• Database Design and Management
• Management and Business Core: accounting, finance, marketing and organisational behaviour
• Capstone Project or applied practicum integrating quantitative methods with a real-world business problem

The degree typically follows a four-year structure with a mix of lectures, computer lab sessions and team projects. Students choose elective modules to specialise in areas such as analytics, operations, finance or risk. A supervised capstone or internship provides practical experience applying methods to industry data and managerial problems.

Entry requirements

Applicants are expected to hold a recognised secondary-school qualification. Strong performance in mathematics is essential—courses in algebra, pre-calculus or calculus are typically required or strongly recommended. Admissions consideration also takes into account overall academic record, recommendation letters and a personal statement demonstrating interest in quantitative and business subjects.

International applicants should demonstrate proficiency in English through recognised tests or equivalent qualifications. Mature applicants with relevant experience and prior college-level mathematics or statistics may also be considered.

Career prospects

Graduates leave prepared for roles that require analytical rigour and data-driven decision making. Common entry-level job titles include:

• Business Analyst or Management Analyst
• Data Analyst or Quantitative Analyst
• Operations Analyst / Supply Chain Analyst
• Risk Analyst and Credit Analyst
• Consultant in management consulting firms
• Financial analyst roles in banks, asset management and corporate finance

Alumni also progress to specialist graduate programmes in analytics, operations research, finance or to professional certifications. The combination of quantitative skills and business knowledge is applicable across sectors such as manufacturing, logistics, healthcare, finance, retail and government.

Why study at University of New Haven

The University of New Haven emphasises applied, career-focused education with small classes and close faculty contact, enabling hands-on learning in computing and analytics labs. The institution has strong ties with regional and national employers that facilitate internships, co‑op experiences and project partnerships.

Students benefit from an interdisciplinary approach that brings together business faculty and experts in mathematics, computer science and engineering. The campus location provides access to a wide job market and professional networks in the northeastern United States, supporting post-graduation employment and employer engagement.

Support services such as career coaching, resume workshops and employer recruitment events help students translate quantitative skills into workplace success, while project-based learning and capstone opportunities let students build a portfolio of applied work to show prospective employers.