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AI for Markets and Quantitative Investment X-ENSAE (MaQI)

Description

The MScT AI MaQI offers a unique specialization that combines market finance and artificial intelligence. Students will learn to blend machine learning with quantitative finance to develop innovative solutions to industry challenges, whether interacting with markets or constructing systematic investment strategies. Graduates will become proficient in leveraging learning-based solutions for applications in the financial sector. This specialization features a hands-on approach through projects, internships, and hackathons, catering to the real needs of the industry with a focus on financial skills, algorithms, and new data types, such as satellite imagery and maritime traffic, for investment and risk management.

Integration of Finance and AI: This specialization integrates finance and machine learning into every course, focusing on practical financial issues and the contributions of AI to finance.

Target Audience: Ideal for those passionate about both AI and finance, who wish to deeply understand models and apply them in practical cases as an alternative to traditional master's programs in quantitative finance.

Industry Demand: As the number of AI/ML labs increases within banks, asset management firms, and hedge funds, this specialization prepares students to become "quants" who possess expertise in market finance and advanced AI skills.

Program Details

• Degree: Master
• Industry-Oriented: Yes
• Duration: 2 years
• Language of Instruction: English
• Location: France
• Credits: 140 ECTS
• Tuition Fees: Up to 19,000 per year

Admission Criteria

• A strong foundation in mathematics or statistics
• Knowledge of programming in Python
• Interest in quantitative and market finance
• Passion for machine learning and artificial intelligence

Career Paths

After obtaining the MSc in "AI MaQI," students will be well-prepared for various professional trajectories:

• Joining an "AI Lab" or "Data Science Lab" within a bank, asset manager, hedge fund, or any financial institution
• Serving as the "AI expert" within a team of quantitative analysts ("quants") or strategists ("strats")
• Leading financial market-related projects in a startup
• Pursuing a Ph.D. after completing this program, notably in partnership with a financial institution