MSc in Business Analytics - Track Finance & Data Analytics
- Paris, France
- Shanghai, China
MSc
DURATION
18 months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
30 Jun 2026
EARLIEST START DATE
Sep 2026
TUITION FEES
EUR 18,400
STUDY FORMAT
On-Campus
Fast-track counseling
By contacting the school, you'll get access to free priority counselling for any study and application questions.
Key Summary
Master the Future of Finance with Data Analytics Expertise
In today’s digital world, staying ahead requires more than just basic finance skills, it demands expertise in data analytics.
Join us on a journey to master finance and data knowledge. Delve into the realm of big data, construct cutting-edge models, and make informed investment decisions.
Why this programme?
- Combine finance and data analytics for a comprehensive learning experience
- Master Python and other data analytics tools for tech-centric finance roles
- Engage in a learning expedition in a world-renowned financial centre: workshops in Luxembourg, one of Europe’s top financial hubs
- Earn major certifications fully recognised by employers
- Broaden your career prospects in investment banking and corporate finance
Excellence Scholarship
ESSCA’s objective is to identify and recruit the most talented individuals, regardeless of their background or financial circumstances.
We offer partial scholarships, ranging from 10% to 30% of tuition fees, to support both academic excellence and non-academic achievements.
These scholarships can be combined with the early bird discount.
High Potential Scholarship
More information coming soon.
Eiffel Excellence Scholarship Programme
The Eiffel Excellence Scholarship Programme, established by the French Ministry for Europe and Foreign Affairs, aims to attract top foreign students to enrol in Masters and PhD programmes at French higher education institutions. This prestigious scholarship provides unique opportunities for future foreign decision-makers in both the private and public sectors, in priority areas of study. It encourages applications from students up to 25 years old from developing countries at the Master’s level, and applicants up to 30 years old from developing and industrialised countries at the PhD level.
Semester 1
- Introduction to Python
- Advanced Python
- Data science for finance
- AI and machine learning
- Corporate Finance
- Ethics
Semester 2
- Financial Markets
- Financial Modelling
- Investment Banking
- Portfolio management and ESG
- Financial risk management
- Fintech
Graduates are primarily destined to positions of:
- Asset Manager
- Risk Manager
- Credit Analyst
- Portfolio Manager
- Fintech Data Analyst
- M&A Specialist
- Private Equity Analyst