https://mfe.haas.berkeley.edu/
Master of Financial Engineering Program | Berkeley Haas
Launch your career in finance, data science, or technology in just one year with the Master’s in Financial Engineering Program at Berkeley Haas.
mfe.haas.berkeley.edu
Key takeaways
- only 1 year program qualified for myself
- only spring program provided
- tuition fee $82,000
- few electives, career courses
Program
Spring
Deadline: January, March, May, October
Fees
| Tuition and Fees | $82,901 |
| Health Insurance (Spring & Summer Only) | $2,574 |
Prerequisites/Requirements
Technical knowledge and experience
a strong quantitative background including linear algebra, multivariate calculus, differential equations, numerical analysis, and advanced statistics and probability
Python, C++, R
Work experience
preferred but not required
Application fee
$275
English language proficiency
TOEFL at least 90
Transcript
minimum of 3.0 in upper division work.
Essay
Students will be asked to answer a series of essay questions in their application.
Video Essay
You are allowed two attempts to record your Video Essay, and your response can be no longer than two minutes.
GMAT/GRE
When ordering GRE scores, use institution code 4833 and department code 4399. For GMAT scores, use program code N2V-PT-87.
Letters of recommendation
two letters of recommendation
Letters should come from individuals who are familiar with your training in quantitative methods, and their remarks should address your ability to apply your quantitative skills. Recommendations from co-workers, tutors, friends, or family members are inadmissible.
Curriculum
MFE students must successfully complete 28 units of coursework (1 unit = 15 class hours), including the Applied Finance Project, plus an internship or industry/independent study project. The 10- to 12-week internship/industry project or independent study project is a required condition for graduation.
Orientation
March - 1 week
Term one
March-May - 8 weeks
- Investments and derivatives
- Empirical methods in finance
Stochastic calculus with asset pricing applications- Independent study
- Positioning yourself for opportunities in the financial world
- Financial institutions seminar
Term two
June-July - 8 weeks
- Derivatives: quantitative methods
- Fixed income markets
Financial data science- Independent study
- Financial institutions seminar series
- Positioning yourself for opportunities in the financial world
Term three
August-October - 8 weeks
Financial risk measurement and management- Electives (5 units)
Financial data science
Internship
October-January - 10 to 12 weeks
- Internship/special topics in finance
Term four
January-March -8 weeks
- Applied finance project
- Independent study
- Electives (4-6 units)
