ESSCA School of Management

β MSc Finance and Data Analytics
Institution: ESSCA School of Management
Location: Paris or Angers campus (verify for your intake)
Program Duration: 1 year (full-time)
Language of Instruction: English
Degree Awarded: Master of Science (MSc), Bac+5 (120 ECTS)
π― Program Highlights
- Integrates finance fundamentals with advanced data analytics techniques.
- Core topics include:
- Corporate finance and investment analysis
- Financial markets and instruments
- Quantitative methods and econometrics
- Big data analytics for finance
- Risk management and financial modeling
- Machine learning applications in finance
- Focus on practical skills via case studies, simulations, and projects.
- Internship opportunity (4-6 months) for hands-on industry experience.
πΌ Career Opportunities
Graduates can pursue roles such as:
- Financial Analyst
- Data Analyst in Finance
- Risk Manager
- Investment Analyst
- Quantitative Analyst
- Business Intelligence Consultant
π Admission Requirements
- Bachelorβs degree (3 or 4 years), preferably in Finance, Economics, Business, Math, Statistics, or related fields.
- Strong quantitative skills and academic record.
- Proof of English proficiency (TOEFL, IELTS, or equivalent) if education not in English.
- Application package includes:
- CV/resume
- Motivation letter
- Academic transcripts
- Degree certificate
- Passport copy
- Interview (online/in-person) typically part of the admission process.
πΆ Tuition Fees
- Tuition fee: Approx. β¬15,000 for the full 1-year program.
- Scholarships available based on merit or need.
- Estimated living expenses approx. β¬1,000/month (housing, food, transport).
π§ Admission Process
- Submit application online with all necessary documents.
- Admissions committee reviews application.
- Shortlisted candidates invited for an interview (30β45 minutes).
- Admission decision communicated within 1β2 weeks.
- On acceptance, sign enrollment contract and pay deposit (~β¬4,000) to confirm your place.
π€ Sample Admission Interview Questions
- Why did you choose MSc Finance and Data Analytics at ESSCA?
- How do you plan to apply data analytics in finance careers?
- Describe your experience with quantitative methods or programming.
- What are your long-term career goals?
- How do you manage challenges in learning complex quantitative concepts?
π¬ Contact & Application
- Program page: ESSCA MSc Finance and Data Analytics
- Email: admissions@essca.fr
- Phone: +33 2 41 73 42 00