Seattle University

What you'll study

The MSQM programme blends core business courses with a focused sequence in mathematics, statistics and analytical methods. Through a mix of classroom instruction, lab work and project-based learning you will learn to turn data into evidence-based decisions for organisations.

• Core business foundations: introductory accounting, finance, marketing, organisational behaviour and business law that provide context for analytical applications.
• Mathematics and statistics: calculus, linear algebra, probability and statistical inference to build the theoretical basis for quantitative work.
• Quantitative methods and modelling: operations research/optimisation, deterministic and stochastic modelling, simulation and decision analysis.
• Data analytics and programming: coursework in data management, data visualisation and programming (commonly in languages such as Python, R or SQL) and applied machine learning techniques.
• Econometrics and applied statistics: regression, time series and forecasting methods emphasising applications to business problems.
• Capstone and experiential learning: team-based consulting projects, practicum or a senior capstone where students analyse real datasets and present recommendations to faculty or industry partners.
• Electives and special topics: courses in supply chain analytics, risk analysis, business intelligence, and ethics in analytics allow students to tailor the degree to specific interests.

The programme typically sits within the Albers School of Business and Economics and integrates Jesuit principles of ethical reflection and social responsibility into analytic decision-making.

Entry requirements

Admission to the bachelor's programme normally requires a high school diploma or equivalent with a strong academic record. Competitive applicants demonstrate substantial preparation in mathematics (college‑preparatory algebra and preferably calculus), English and other academic subjects. Typical application materials include official transcripts and a personal statement; applicants from outside the US should provide recognised secondary credentials and proof of English language proficiency when required.

Seattle University looks for candidates who show analytical aptitude, clear written communication and a capacity for teamwork. Transfer applicants are evaluated on prior college coursework; students who have completed college-level calculus, statistics or programming can often progress more quickly through the major sequence.

Career prospects

Graduates with an MSQM degree are well positioned for roles that require quantitative analysis of business problems. Common entry-level and early-career roles include:

• Data analyst or business intelligence analyst
• Operations analyst or supply chain analyst
• Financial analyst with a quantitative focus
• Risk analyst or actuarial support roles
• Consulting analyst at management or analytics consultancies

Alumni also progress to roles in product analytics, marketing analytics and technology companies, or pursue graduate study in analytics, operations research, business analytics, data science or related fields. The programme’s emphasis on applied projects and internships helps students build portfolios and employer connections in the Seattle regional market and beyond.

Why study at Seattle University

Seattle University’s Albers School combines a focused analytics curriculum with the benefits of a mid-sized, Jesuit university: small class sizes, close faculty mentorship and an emphasis on ethical leadership. The university’s location in Seattle places students near a dense ecosystem of technology, aviation, healthcare and international trade employers, creating internship and networking opportunities.

• Experiential learning: practicum courses, faculty-led projects and internship pathways that connect students with local organisations.
• Career support: dedicated career services and employer engagement from the Albers School to help prepare résumés, interview skills and industry introductions.
• Interdisciplinary options: the ability to combine analytics training with electives in finance, information systems, supply chain or entrepreneurship.
• Ethical perspective: Jesuit mission elements integrated into the curriculum encourage responsible use of data and consideration of social impacts.

Together, these elements make Seattle University a practical choice for students seeking a rigorous, professionally oriented quantitative management education in a dynamic urban setting.