
Introduction
Rennes School of Business (ESC RENNES), established in 1990, is located in Rennes, France. Accredited by AACSB, EQUIS, and AMBA, it ranks among the world's top business schools. It is also recognized as a Grande École accredited by the French government. Out of over 200 business schools in France, only 38 have received this government certification for cultivating elite talent.
In international rankings, the school's Master in Management program was placed at 35th in the Financial Times Global Masters in Management Ranking 2016. Its MSc in International Finance program grabbed the 24th position in the 2018 Financial Times Global Masters in Finance Pre-experience Ranking.
Cooperation Mode
Bachelor's to master's degree
Available Programs
Supply Chain Management
International Finance
Data and Business Analytics
Project Requirements
Academic Requirements
Bachelor's degree or equivalent qualification
The program is primarily designed for graduates with general or specific university entrance qualifications or higher technical university entrance qualifications, with a focus on the fields of economics, law, management, and leadership.
Language Requirements
TOEFL 70 (iBT80) or IELTS 5.5+ IEC
Note:
Teaching in English
Supply Chain Management: This program aims to provide a solid theoretical foundation for logistics and SCM, as well as introduce the latest advancements in the industry. It emphasizes the importance of communication, critical thinking, and teamwork skills, while staying up to date with the latest developments in data analysis and blockchain technology. The program employs a collaborative, problem- and project-based teaching approach, integrating case studies into the curriculum. International Finance: This program covers financial engineering, quantitative finance, and financial markets, and is taught entirely in English by academics and professionals with extensive financial experience. Data and Business Analysis: The program aims to cultivate students' abilities to synthesize relevant business analysis information and to develop and utilize various types and formats of analytical tools to enhance decision-making across the organization. The focus is on tools and methods for data mining, as well as for description, prediction, and decision-making.