Participants profile
The ideal candidate shows a strong commitment to developing a solid background in mathematical finance and a strong interest in computer science, probabilistic machine learning, and statistical techniques applied to financial markets. The knowledge acquired will enable students to design and implement quantitative strategies and AI-based tools for investment, risk management, hedging, arbitrage, and pricing.
The Master’s program is intended for graduates holding a Master of Science in Economics, Finance, Management, Mathematics, Statistics, Physics, Engineering, or Computer Science, as well as for students who expect to complete their degree by the final session of the 2025/2026 academic year (March–April 2027). Applicants with a Master’s degree, or who are about to complete one in other fields, may also be considered provided they demonstrate a strong interest in and adequate background in quantitative methods.
The program is also aimed at professionals with work experience who wish to deepen their expertise in quantitative methods applied to portfolio management, derivative pricing, and arbitrage strategies.
For applicants whose first language is not English, or have not completed a degree program taught in the English language, the master staff will test their English proficiency during the selection interview.