Finance is now shaped as much by code as by valuation models. In one hour, discover the MSc Data & AI for Quantitative and Corporate Finance from Albert School and Mines Paris – PSL, in Geneva.
This webinar is held in English and covers the September 2027 intake.
What happens at the event
In one hour, we will cover:
- Format: 2 years full-time, 120 ECTS, taught 100% in English on the Geneva campus. Joint degree from Albert School × Mines Paris – PSL, with a fully accredited Master’s program.
- Two tracks, chosen from Semester 2:
- Financial Markets: commodity trading, AI for algorithmic trading, structured products, quantitative portfolio management, DeFi.
- Corporate Finance: M&A advisory, valuation (from mature to distressed companies), LBO and private equity, ECM/DCM, asset finance.
- Shared technical core: Python, SQL and statistics (three entry levels), machine learning on financial data, time series, language models, MLOps and cloud.
- Roots in the Geneva ecosystem: Business Deep Dives every three weeks with partners such as Edmond de Rothschild, Crédit Agricole Indosuez and SwissBorg. More than 50 instructors, all working professionals.
- Career outcomes: a 3- to 9-month end-of-study internship (Geneva, London, New York, Singapore), leading to roles as trader, structurer, quant, M&A analyst or private equity analyst.
- Admissions: prerequisites, application file, interview with the jury and a brainteaser. The webinar ends with a live Q&A session.
