Data Science for Business (Joint Degree with HEC Paris) (MSc)

The X-HEC Data Science for Business Master of Science and Technology is a two-year program designed for high-level, internationally oriented students. Taught jointly by École Polytechnique and HEC Paris, this program offers the unique opportunity to study at two world-leading institutions for engineering and business.

The X-HEC Data Science for Business Master’s Program provides its students with a very sought-after double expertise across all sectors and industries. It aims to train dual-profile managers and data scientists to become tomorrow's entrepreneurs, intrapreneurs and data managers, who will go on to create impactful startups, disrupt business models and manage innovation.

For more information about the programs, please register to our online information sessions.

PROGRAM STRUCTURE

The Data Science for Business Master's Program combines a scientific and a business approach to contemporary Data Science issues and challenges. The first year takes place at École Polytechnique, with a strong focus on scientific and mathematic topics. The second year is spent at HEC Paris, anduses learning-by-doing methods to helpstudents enhance their management knowledge and apply it to solve complex business challenges. During these two years, students benefit from world-class faculty and study alongside leading data scientists in specialized research unitswithin a competitive environment.

The program trains students in the field of data science and equips them with excellent technological, scientific, strategic and business skills. Students will have the opportunity to broaden their knowledge in the field and gain a wide range of valuable skills, including:

• In-depth understanding of machine learning techniques
• State-of-the-art data sciences programming skills
• Make a big data project succeed in the corporate world
• Theoritical understanding of main statistical algorithms
• Real company data challenges

HIGH-LEVEL TEACHING

Classes are taught by researchers, who make sure they use research results to illustrate their teaching. They are often assisted by teaching assistants.

In addition, students regularly attend lectures given by representatives from academia or leading companies, who talk to them about important data-related issues (legislation, ethics, etc.).