MSc Mathematical Modeling in Modern Technologies and Financial Engineering (MTF)
Interdisciplinary master's with three directions: Modern Technologies, Mathematics of Data Science and Financial Engineering. The Financial Engineering direction offers derivatives, portfolio analysis, financial econometrics and fintech electives on top of a shared applied mathematics core.
What you’ll study
Core
- Dynamical Systems and Mathematical Theory of Chaos
- Numerical Analysis
- Probability Theory
- Statistical Modelling
- Nonlinear Partial Differential Equations
- Financial Management
- Nonlinear Functional Analysis
Electives
- Financial Derivatives
- Portfolio Analysis
- Financial Econometrics
- Financial Analysis
- FinTech & Cryptoeconomics
- Mathematical Economics – Equilibrium Theory
- Valuation of Illiquid PEVC Equity Securities
- Stochastic Differential Equations and Applications in Finance
- Econometrics and Time Series Analysis
- Microeconomic Theory
- Machine Learning
- Stochastic Processes
- Data Mining
Source: mathtechfin.math.ntua.gr ↗
Before you apply
- Background
- Graduates of Science, Economics and Technology
- Other
- Selection on degree grade, related course grades, thesis, other postgraduate degrees, research or professional activity, recommendation letters and an interview. Deadlines May and September.
Source: mathtechfin.math.ntua.gr ↗
After graduation
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Tuition not stated on the fetched pages; the 2026-27 call for applications PDF could not be parsed. Some listed courses are not taught every year.
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.