Universities / WorldQuant University
MSc in Financial Engineering (online) (MScFE)
A tuition-free online master's in financial engineering delivered in sequential seven-to-eight-week courses covering markets, econometrics, derivatives, stochastic modelling, machine and deep learning, portfolio and risk management, ending with a capstone.
What you’ll study
Core
- Financial Markets
- Financial Data
- Financial Econometrics
- Derivative Pricing
- Stochastic Modeling
- Machine Learning in Finance
- Deep Learning for Finance
- Portfolio Management
- Risk Management
- Capstone Project (MScFE 690) or Capstone Review (MScFE 692)
Source: wqu.edu ↗
Before you apply
- Background
- Bachelor's degree
- Maths
- advanced algebra; linear algebra; calculus; differential equations; discrete mathematics; probability; statistics
- Programming
- Basic Python and data structures (tested in the QPT)
- Tests
- Quantitative Proficiency Test required, 75% or higher pass mark; no GRE/GMAT mentioned
- English
- Duolingo English Test, TOEFL, IELTS or PTE if not English-medium graduate; no minimum score stated
- Other
- No finance background required
Source: wqu.edu ↗
After graduation
- Typical first roles
- Portfolio manager, trading strategist, risk manager
Source: wqu.edu ↗
Want to see what employers ask for? Browse open quant roles.
Accredited by DEAC; 39 semester credit hours; next intake 5 Jan 2027, deadline 29 Dec 2026. No outcomes data published on FAQ.
Checked 6 November 2026 against the sources linked on this page. Fees, units and requirements change each year, so confirm them on the programme’s website before applying.
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