Why choose the Master Finance and Data Analytics?
1
Combine Finance and Data Analytics for a comprehensive learning experience
2
Master Python and other Data Analytics tools for techcentric finance roles
3
Learning expedition in a world-renowned financial centre: workshops in Luxemburg as one of the top financial centres in Europe
4
Major certifications fully recognised by employers
5
Expand career prospects in investment banking and corporate finance
Programme duration and structure
You can complete the Master Finance and Data Analytics in either one or two years, depending on your academic background.
- One year: if you hold 240 ECTS credits, or a three‑year bachelor’s degree plus at least three years of relevant professional experience.
- Two years: if you hold 180 ECTS credits.
If you have sufficient prior credits, you follow the accelerated one‑year route.
Otherwise, you undertake the full two‑year cycle to consolidate your academic foundations and broaden your expertise.
Year 1: building core competencies
Semester 1: advanced management skills
In your first semester, you develop Advanced Management Skills. You strengthen essential capabilities required of decision‑makers across all professions: leadership, strategic insight, information systems, budgetary control, and a comprehensive understanding of Corporate Social Responsibility (CSR) and ethics. These foundations equip you to launch your career successfully.
Semester 2: choice of a pre‑specialisation track
In your second semester, you refine your academic direction and select a pre‑specialisation track that aligns with your career ambitions. You choose from:
- Finance
- Marketing
- Management & Strategy
Year 2: specialisation
The 2nd year programme comprises 361 hours of on-site teaching, delivered over two semesters in Paris.
Our teaching approach emphasises practical and hands-on learning. Throughout the programme, you will work with real-world examples, enabling you to develop your skills through practical experience in AI applications.
Core modules
- Introduction to Python
- Technology and innovation management
- AI and machine learning
- Law and Ethics in AI and data management
- Sustainability and Global Challenges
- Research methods for thesis
- Data science for finance
Finance and Data Analytics
- Advanced Python
- Investment banking
- ESG Investment
- Financial Market
- Financial Modeling
- Financial risk management
- Fintech
- M&A and private Equity
Final steps
- A master's thesis. A three-part seminar throughout the course: "Methodology for writing your master's Thesis" will help you to prepare and produce it
- A 4 to 6 month internship in any country
In today’s digital financial landscape, traditional skills alone are no longer enough. Our programme equips students with essential data‑analytics capabilities, enabling them to work with large datasets, apply advanced algorithms, and use data visualisation tools to support clear, informed investment decisions.
FAQ for Master Finance and Data Analytics
What will I learn in the Master Finance and Data Analytics programme?
You will gain a comprehensive understanding of finance principles and data analytics techniques, developing skills in financial modelling, data-driven decision-making, and the use of tools like Python for finance applications.
What kind of projects will I work on during the Master Finance and Data Analytics programme?
You will work on projects involving financial modelling, data analysis, and risk assessment, often in collaboration with industry partners.
Are there any prerequisites for the Master Finance and Data Analytics programme?
Applicants should hold a 4-year Bachelor Degree or a 3-year Bachelor Degree with a minimum of 3 years of relevant professional experience, ideally with some exposure to finance or data analytics concepts.
How does this Master Finance and Data Analytics integrate data analytics throughout the curriculum?
The programme uniquely blends finance theory with data analytics skills, ensuring mastery in both areas. It includes hands-on activities, learning expeditions to financial centres like Luxembourg, and the use of advanced data analytics tools.
What kind of projects will I work on during the Master Finance and Data Analytics programme?
You will engage in projects that apply data analytics to real-world financial scenarios, allowing you to develop practical skills and experience in financial modelling and data-driven decision-making.
What are the admission requirements for international students for the Master Finance and Data Analytics?
International students must meet the same academic requirements and may need to demonstrate proficiency in English, with a focus on understanding finance and data analytics concepts.
How long is the Master Finance and Data Analytics?
The programme is a full-time course that lasts 12 months, providing an intensive and comprehensive education in finance and data analytics.
