alternance
Master of Science - Data & AI for Finance
Required to apply:
A Bachelor’s or Master’s degree.
European citizenship or residency in France for
at least one year.
- 120ECTS
- 2Years
- English
- In Alternance
Academic Direction & Awarding Bodies
Is this program
for you?
The MSc in Data & AI for Finance is designed for those aiming to bridge advanced data science with financial strategy.
Ideal for students eager to use data to drive financial decisions, predict market trends, and optimize portfolios, this two-year alternance program offers specialized training and real-world projects with leading partners such as Edmond de Rothschild, BNP Paribas, AXA, Caceis, and Société Générale.
Graduates are well-prepared for roles such as Financial Data Analyst, Quantitative Specialist, or Trader, making them valuable assets in the evolving financial sector.
What is the program about?
Developed in partnership with Mines Paris – PSL, Albert School’s MSc in Data & AI for Finance provides rigorous training at the intersection of finance, data science, and AI. Students gain practical skills in financial modeling, algorithmic trading, risk management, and market analysis, while mastering tools like Python, SQL, data engineering, machine learning, and AI for trading strategies.
Through technical coursework and applied projects, the program prepares students to turn financial data into actionable insights and strategic decisions, addressing key challenges in both corporate and market finance.
Companies that
have recruited our students
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What makes the apprenticeship
track different?
Direct Networking and Mentorship
Access to industry leaders and professionals, providing career insights and valuable connections.
Immediate Practical Learning
Case studies with partner companies to apply academic knowledge to real-world problems.
Integrated Professional Experience
Hands-on projects with top firms such as LVMH, Orange, and BCG, ensuring graduates have a strong portfolio and industry-ready skills.
The 4 foundational blocks of the program
Data Science & AI for Finance
Data Engineering & Optimisation
Data Mining & Visualisation
Machine Learning
AI for algorithmic trading
Generative AI, Deep Learning & LLM Apps
Financial Markets, Engineering & Innovation
Financial Modelling
Financial Engineering & Reporting
Market Finance
Blockchain & Crypto
Finance for new ventures
3. Financial Modelling & Strategic Analysis
Corporate Valuation & LBOs
M&A, Financial Restructuring
Finance for New Ventures & Planning
Quantitative Methods & Optimisation
Applied Experience & Industry Challenges
2 year apprenticeship
Alberthons: Intensive 6-week business cases with leading companies (Generali, Edmond de Rothschild...), where students tackle real-world challenges, collaborate in teams, and present solutions to executives
Core approaches of our methodology
Professors from professional world
Practical cases - Alberthon
Personalized Mentorship + Professional Career Coaching
What our partners, business leaders, and educators are saying about us
xavier niel
Albert School corresponds exactly to the needs that companies have today and will have tomorrow. It's incredibly important to support innovation in terms of school creation, and participate in the creation of schools that will bring talent into our companies.
Ana
My time at Albert School equipped me with practical data analysis skills and an understanding of data-driven marketing strategies. The exceptional instructors and participation in industry hackathons provided real-world insights, and the school helped connect me with companies aligned with my career goals. All the things I learnt have shaped my journey and are significantly helping in my job at LVMH.
Florent seine
What we're seeing today is that most training courses are geared towards too academic issues. And business reality is far removed from these academic issues. Initiatives like Albert School's are therefore to be encouraged.
Planning ahead: Tuition & Financing
View feesWe prepare you for the most in-demand business and data jobs on the market
Data Analyst
A data analyst cleans and interprets complex data sets to help taking informed business decisions and strategies.
On average, they earn from €60 000 to €100 000 per year depending on their experience.
Strategy Consultant
A strategy consultant provides data-driven advice to optimise operations and growth strategies.
On average, they earn from €60 000 to €100 000 per year depending on their experience.
Trader
A trader analyses market data to buy and sells financial instruments to capitalise on market fluctuations for profit.
On average, they earn between €30 000 and €60 000 per year depending on their experience.
Data Scientist
A data scientist develops algorithms and models to analyze wide amounts of data for actionable insights.
On average, they earn between €70 000 and €130 000 per year depending on their experience.
Business Developer
A business developer identifies, develops, and maintains relationships with clients, and secures new business opportunities to ensure growth.
On average, they earn between €60 000 and €110 000 per year depending on their experience.
Financial Analyst
A financial analyst analyses financial data to advise on investment opportunities and maintain a good financial health within a company.
On average, they earn between €60 000 and €110 000 per year depending on their experience.
