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Info Session: Double Degree Data & Finance X-HEC

Time:18:00-19:00,Feb 12

Venue:Online

Language:English

Date: 12 FEB 2026

Time: 18:00-19:00 (Beijing)),11:00-12:00 (Paris)

Language: English

Registration Link: Webinar - Double Degree Data & Finance X-HEC | HEC Paris


Introduction:

This program is a double degree offered jointly by Ecole Polytechnique and HEC Paris, combining over two years the academic expertise of the best engineering school in France and the best business school in France. The students who go through the Data & Finance program obtain the MSc&T degree from Ecole Polytechnique and the MIF degree from HEC Paris.

1st year: Data Science at Ecole Polytechnique

During your first year at Ecole Polytechnique, you will get a thorough training on data science, with courses in statistics, probability, regression and classification, as well as more focused modules on optimization, machine learning and notably deep learning, with hands-on hard skills training using Python and R programming languages. You will also start to explore Financial Markets and numerical processing of Financial Data.

2nd year: Finance at HEC Paris

During your second year, you will earn 70 ECTS (of the 140 ECTS needed for the Double Degree Data & Finance X-HEC) going through specific parts of HEC Paris’s Master in Finance (MIF) program, which has been at the top of the Financial Times rankings for over a decade now. In the first half of the Fall semester, you will follow Core Courses in the Accelerated or Business Track to reach intermediate-level knowledge in Corporate Finance, Securities Markets, and Financial Accounting. In the second half of the Fall semester you will follow the MIF's Capital Markets Specialization. In the Spring you will take 2 Advanced Core courses, follow 4 courses specifically designed for the Data and Finance curriculum, select 2 electives in Capital Markets, 1 elective in DS/AI/ML & finance, plus 2 additional unrestricted electives. The 4 mandatory courses for Data & Finance students are: Algorithm Data and Trading, Blockchain, Data Analysis in Finance, and Numerical Analysis. Electives in DS/AI/ML & finance include ML Techniques for Finance and AI for Quantitative Trading Strategies.