Master of Science in Finance at a glance
- Format: Full-time, in-person, weekday classes
- Location: Seattle, Washington
- Length: 3 quarters (approximately 10 months)
- Credits: 46 credits, plus an early-fall jumpstart
- STEM designation: Yes
- Program dates (anticipated first cohort): September 2027 – mid-June 2028
- Small class sizes
Key Dates & Admissions
Applications are not yet live. Join the Master of Science in Finance interest list to receive updates, and be the first to know when applications open.
An early-career pathway to analyst-level finance roles
The Master of Science in Finance is designed for early-career, pre-experience candidates who want an immediate next step after completing an undergraduate degree. Students typically join the program to strengthen employability, deepen quantitative skills, and launch a finance-focused career.
Common academic backgrounds
- Economics
- Non-finance business majors
- Mathematics and statistics
- Engineering
- Computer science and data science
- Physics
- Psychology
- Political science
- International relations
- Natural sciences (e.g., chemistry, biology)
Applicants from other academic backgrounds may be considered on a case-by-case basis, depending on quantitative preparation, demonstrated comfort with analytical coursework, and the extent to which prior academic training overlaps with the MSF curriculum.
Program Highlights
A finance curriculum built for today’s market
Build a strong foundation in corporate finance, investments, valuation, and financial systems, then expand into areas shaping the future of finance, including analytics, machine learning, fintech, behavioral finance, sustainable finance, global finance, and real estate.
Applied learning, built into the program
Professional development and real-world application are integrated throughout the Master of Science in Finance experience, including:
- Career Development Workshop: A weekly seminar featuring industry speakers and career-focused programming
- Capstone Projects I & II: A two-quarter applied sequence where student teams tackle real financial challenges, often connected to regional organizations
Curriculum snapshot
The Master of Science in Finance curriculum spans core finance disciplines and applied analytics, including:
- Corporate Finance and Valuation
- Investments and Asset Management
- Data Analytics in Finance and Machine Learning
- FinTech and Financial Applications
- Behavioral and Sustainable Finance
- Banking and Financial Systems
- Global and International Finance
- Real Estate Finance
- AI in Finance
Take the next step
Applications are not yet live. Join the Master of Science in Finance interest list to receive updates, and be the first to know when applications open.