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Master of Quantitative Finance

Maryland Smith understands that some students' ability to travel to the U.S. may be impacted by the global coronavirus outbreak. Students who are unable to come to Maryland in Fall 2020 may begin their program in Winter or Spring 2021, depending on the program. Some programs may require online pre-work to be completed in Fall 2020 in order to be eligible to start Winter/Spring 21.

These contingency plans are still evolving, and we will share details with admitted students as they become available.

Please contact our admissions office directly if you would be interested in learning about these opportunities at masters@rhsmith.umd.edu.

Maryland Smith’s Master of Quantitative Finance (MQF) program allows you to put your quantitative, technology and problem-solving skills to full use as you guide companies toward making strategic financial decisions.

  • Gain access to cutting-edge analytics resources to refine your programming, data management and global investment skills.
  • Advance your skills under the guidance of expert faculty and with a community of talented peers from diverse academic backgrounds.
  • Solve complex finance challenges for real companies, participate in case competitions and network with major employers who hire our students.

  • STEM eligible program
  • Complete your degree in 3 or 4 semesters
  • Total of 36 credits

Get Your Edge With Advanced Courses

Big Data in Finance

Discover how technology can help you leverage unstructured and high volume data, discover patterns and create predictive strategies.

Financial Engineering

Explore the computation techniques you’ll use when managing financial portfolios and assessing derivatives and securities.

Quantitative Investment Strategy

Learn how to apply the same statistical and modeling techniques that hedge funds and asset management companies use when selecting equities.

2019 Student Profile


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“I really enjoyed my time at Smith and I never regretted my choice. I learned how to network, figured out what I wanted to do in the future, became more skilled in interviews and got chances to connect with our kind alumni.”

Lisha Lai

Master of Quantitative Finance ’19 | Data Analyst, RiskSpan

Source: Financial Times, 2018