The Master of Financial Mathematics prepares students to enter the field of quantitative finance, which merges the disciplines of finance, mathematics, statistics, economics and computer/data science. The program has a strong academic curriculum and a multifaceted career development program. MFM students develop a foundation in mathematical and statistical modeling, data science and risk analysis within the specific domain of quantitative finance. Our alumni work in a wide range of quantitative finance and data science jobs. We have a tight-knit relationship with our quantitative finance and data science alumni and practitioner network in Minneapolis-St. Paul, nationwide and globally. All courses are held at night to facilitate working students as well as full time students, who can engage in additional academic and career activities during the day.
What makes Minnesota's MFM Great:
Accessible Faculty with Extensive Industry Experience: Doctorates, with industry experience, accomplished practitioners in quantitative finance & data analytics.
Theoretical and Pracitical Foundation in Quantitative Finance: Rigorous coursework mathematics, statistics, programming, machine learning; Practitioners course with topics taught by industry quants; Modeling Workshop with team projects led by industry mentors.
Flexible Program Faciliates Working and Full Time Students: all courses taught at night-good for working adults; full-time students have time to pursue minors, internships; full and part time options.
Excellent Career Support from Tightknit Community: workshops, individualized career advising & excellent placement; career events, site visits, studen clubs, trading & data analytics competitions; supportive community between classmates, professors,advisors; highly involved and dedicated alumni and practitioner network
Strong Program Reputation: Ranked in top 12-23 MFM / MFE Programs in North America; only program in 5 State Area; our MFM talent sought locally and nationally;
Minnesota's Vibrant Finance, Insurance, Business, and Data Science Hub: large insurance, banking, and asset manager sector; strong commodities and emerging fintech presence; 19 Fortune 500 Firms