Financial Engineering

Finance and innovation.

Over the past decade, the financial industry has become increasingly complex and volatile. Specialists with a solid analytical background are urgently needed to understand past developments and to drive financial innovation forward.

The events of the last few years have exposed new needs in risk measurement and management, derivatives pricing and hedging, portfolio management, model validation and corporate finance.

Program’s objectives

The Master’s program in Financial Engineering (MFE) provides financial education at the forefront of both academic thinking and industry practice and is the result of a multidisciplinary effort involving the Swiss Finance Institute at EPFL, the College of Management of Technology, and faculty members from mathematics, statistics, computer science, operations research and communications. The curriculum of the MFE is broad but also specific because it offers an extensive range of electives so students can tailor-make the program to correspond to their career goals.

MFE graduates have the perfect profile to integrate rapidly in financial institutions such as investment banks, rating agencies, consulting and auditing companies, insurance companies and online trading companies. Alternatively, MFE graduates can enter top level PhD programs in finance or financial engineering, such as the Swiss Finance Institute PhD program at EPFL.

Simplified study plan

Please note that the information regarding programs’ structure as well as the simplified study plans may be subject to change and that they are not legally binding. Only the official regulations and study plans are binding.

Admission criteria

  • Holders of a Bachelor’s degree in a technical discipline such as Mathematics, Physics, Computer Science, Engineering or Economics are eligible to apply for admission into the MFE
  • Students should have exceptional analytical skills as well as a strong interest in finance. They should also have a solid background in mathematical analysis, statistics and probability theory
  • Applicants should command either one formal computer language such as C, C++ or Java, or a high-level language such as Matlab or Mathematica

Further information about admission criteria

Teaching language

English

Online application

Contact

To learn more about this program, please use the following contacts:

[email protected]


0041 21 693 01 22



Accreditations