The MSc in Finance and Data Analytics at ESSCA School of Management prepares students to excel in the modern financial world. The program blends financial theory with data-driven decision-making, giving students practical skills and global exposure. It is ideal for those planning to study abroad and pursue international finance careers.

Academic Structure

The program is usually structured into two semesters:

• Semester 1: Focuses on students building strong foundations in Python programming, data science for finance, AI, machine learning, corporate finance, and ethics. This prepares them for more advanced study.

• In Semester 2, students focus on financial markets, financial modeling, investment banking, portfolio management with ESG, risk management, and fintech.

  Students also complete a 4–6 month internship or company project, gaining hands-on experience and applying their learning in real-world finance environments.

Career Prospects

Graduates of this program are well-equipped for careers in various sectors, including:

• Investment Banking

• Corporate Finance

• Financial Consulting

• Risk Management

• Fintech

The integration of data analytics with finance ensures that students are prepared to tackle complex financial challenges using advanced analytical tools.

Intake:
September

Eligibility criteria:
Bachelor’s degree with minimum 60% from a recognised university.

Get in touch with us to know more details