University of San Diego

What you'll study

The programme blends quantitative theory, analytical tools and management coursework to build skills in data analysis, optimisation and evidence-based decision making. Typical study areas include calculus and linear algebra; probability and inferential statistics; econometrics; optimisation and operations research; decision analysis; forecasting and time-series methods; database management; data visualisation; and introductory and applied programming (commonly using languages and tools such as Python, R and spreadsheet modelling).

Students take core business courses to place quantitative work in a management context, such as accounting, finance, marketing, organisational behaviour and operations management. The curriculum commonly culminates in a capstone experience—either a team-based practicum, an applied analytics project with an external partner, or an independent research project—alongside opportunities for internships to gain workplace experience.

• Foundational mathematics and statistics
• Programming for analytics and data management
• Operations research and optimisation methods
• Managerial economics and business fundamentals
• Decision modelling, forecasting and simulation
• Capstone project or practicum and internship opportunities

Entry requirements

Applicants should hold a recognised secondary school diploma or equivalent. Typical academic preparation includes strong performance in mathematics (algebra and calculus), and coursework in science and English. Selection is based on the overall academic record, letters of recommendation, and a personal statement that demonstrates interest in quantitative problem solving and management.

For applicants from education systems that use standardised testing, the university considers SAT or ACT results where provided, though admissions policies on testing may be flexible. International applicants must demonstrate English proficiency through recognised tests or approved alternative evidence of English ability. Mature or transfer applicants are considered on the basis of prior post‑secondary study and transferable credits; transfer applicants should expect to submit college transcripts and course descriptions for evaluation.

Career prospects

Graduates are prepared for quantitative and analytical roles across industry, government and non-profit organisations. Common entry-level job titles include data analyst, business analyst, operations analyst, supply chain analyst, financial analyst and management consultant. The programme also provides a foundation for specialised quantitative roles in pricing, forecasting, risk management and applied analytics.

Many graduates move into graduate study in fields such as business analytics, data science, industrial engineering, economics or an MBA. The degree’s combination of technical and managerial skills is valued by employers in technology, healthcare, finance, consulting, logistics and public policy, and it supports entrepreneurial ventures that rely on rigorous data-driven decision making.

Why study at University of San Diego

Studying this programme at the University of San Diego offers the benefit of small class sizes and close faculty interaction within a liberal arts and professional education environment rooted in the university’s Jesuit tradition of ethical leadership. The campus location in San Diego provides proximity to a diverse regional economy—technology, biotechnology, defence and international trade—creating strong internship and employer engagement opportunities.

Students can expect experiential learning through project-based courses, industry partnerships and internship placements, plus access to campus career services that support recruitment and professional development. The university emphasises interdisciplinary learning, enabling students to combine quantitative expertise with communication, teamwork and ethical decision-making skills that employers seek.