MSc in Financial Data Intelligence

The MSc in Financial Data Intelligence program at Rennes School of Business offers specialized education focusing on the intersection of finance and data analytics, preparing students for roles at the forefront of financial technology and data-driven decision-making.

Curriculum: The curriculum integrates finance, data analysis, machine learning, programming languages (e.g., Python, R), financial modeling, and quantitative methods. Students learn to leverage data-driven insights for financial decision-making and risk management.

Research Focus: The program may emphasize research areas such as financial data analysis, algorithmic trading, risk assessment models, financial technology innovations, or applications of machine learning in finance. Students might engage in research projects exploring trends in financial data or developing predictive models for financial markets.

Industry Engagement: Rennes School of Business emphasizes industry engagement through partnerships with financial institutions, workshops, guest lectures, and hands-on projects with real financial datasets. These engagements provide students with practical exposure to financial technologies and data analysis tools used in the industry.

Global Perspective: The program incorporates a global perspective by addressing financial data analytics in an international context. It explores global financial markets, cross-border regulations, and the impact of globalization on financial decision-making, preparing students for careers in global finance.

Postgraduate Entry Requirements

Academic Qualification: Applicants for postgraduate programs usually need a bachelor's degree or an equivalent qualification from a recognized institution. The entry requirement may specify a minimum score of 60% or higher in the previous academic degree.

English Language Proficiency:

• IELTS Scores: For postgraduate studies, the required overall band score may range from 6.5 to 7.0, with minimum band scores of 6.0.

Students must provide:

• academic marksheets & transcripts
• letters of recommendation
• a personal statement - SOP
• passport
• other supporting documents as required by the university.

Work experience: Some postgraduate courses may require relevant work experience in the field.

It's important to note that entry requirements can vary by program and may change over time. Additionally, some programs may have additional requirements, such as interviews, portfolios, or work experience.

Rennes School of Business in France is fostering a diverse and globally inclusive learning environment. The institution offers a range of scholarships specifically tailored for international students. These scholarships are designed to attract outstanding talent from around the world and provide financial assistance to ease the burden of tuition fees. 

Excellence Scholarships: These scholarships are aimed at exceptionally talented international students with outstanding academic achievements. They cover a portion of tuition fees and are awarded based on academic merit and potential contributions to the school community.

Diversity Scholarships: Rennes School of Business recognizes the value of diversity in enriching the educational experience. These scholarships aim to support students from diverse cultural backgrounds, nationalities, or those with unique perspectives. They are awarded based on both academic merit and the candidate's ability to contribute to the cultural diversity of the student body.

Need-Based Scholarships: Financial constraints should not hinder talented students from accessing quality education. Rennes School of Business offers need-based scholarships to support students who demonstrate a strong academic record but face financial difficulties. These scholarships aim to bridge the financial gap and enable deserving students to pursue their studies at the institution.

Partnership Scholarships: The school has established partnerships with various organizations, corporations, and governments globally. Through these partnerships, they offer scholarships to students recommended or sponsored by these entities. These scholarships often cover tuition fees or provide financial aid to successful applicants.

Merit-Based Scholarships for Specific Programs: In addition to general scholarships, Rennes School of Business may offer specific scholarships for certain programs or disciplines. These scholarships recognize outstanding achievements or potential in particular fields of study and encourage talented students to pursue those areas of expertise.

Graduates from the MSc in Financial Data Intelligence program at Rennes School of Business can pursue diverse career paths in the financial and data analytics domains.

Financial Data Analyst: Professionals can work as financial data analysts, utilizing data analysis techniques to interpret financial data, create models, and derive actionable insights for investment decisions.

Quantitative Analyst (Quant): Graduates may pursue roles as quants, developing quantitative models, algorithms, and risk management strategies using mathematical and statistical tools.

Financial Technology Specialist: Professionals can specialize in financial technology, working on innovative solutions, fintech products, or developing algorithms for automated trading systems.

Risk Analyst/Manager: Graduates may work as risk analysts or risk managers, assessing and managing financial risks using data-driven approaches and predictive models.

Financial Consultant: Professionals can become financial consultants, advising on financial strategies, investment opportunities, and leveraging data insights for clients.

Portfolio Manager: Graduates may pursue portfolio management roles, making investment decisions based on data analysis and market trends.

Algorithmic Trader: Professionals can specialize in algorithmic trading, creating trading strategies and executing trades based on data-driven models.

Financial Researcher: Graduates may work as financial researchers, conducting analysis, and contributing to financial research studies.