MSc Data for Finance - alternance
Master the World of Finance with Advanced Data Skills
Required to apply:
A Bachelor’s or Master’s degree.
European citizenship or residency in France for
at least one year.
- 120ECTS
- 2Years
- English & french
- In Alternance
QS World University
Rankings France #1
Academic Direction & Awarding Bodies
Is this program
for you?
The MSc in Data for Finance is designed for those aspiring to bridge the gap between data science and financial strategy. If you're passionate about harnessing data to drive financial decision-making, predicting market trends, and optimizing investment portfolios, this program is tailored for you. This 2-year program, offered in alternance, provides a specialized finance training, where you'll gain hands-on experience through real-world projects with top-tier partners like LVMH and BCG. Graduates emerge as vital assets in the financial data landscape, ready to excel in roles such as Financial Data Analyst and Quantitative Specialist.
What is the program about?
Immerse yourself in the dynamic world of finance, bridging both corporate and market realms. At Albert School, our MSc in Data for Finance blends technical prowess with deep financial insight, preparing you to excel in roles like Financial Analyst, Investment Manager, or Risk Analyst.
Picture yourself shaping strategy at Société Générale, pioneering in private equity firms or in fintech start-ups. Our program empowers you with data and AI expertise, enabling you to excel in investment companies and transform financial landscapes with strategic actions.
Companies that
have recruited our students
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
Corporate Finance Process & Reporting
Data analytics for business audit
Financial regulation & reporting
Valuation techniques for investment
Corporate valuation modeling
Finance for new ventures
Financial markets for corporate financing
ECM/DCM for financing
AI for algorithmic trading
Humanities & Soft Skills
Soft skills
GDPR fundamentals
Responsible AI
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.
We 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.
