Goals & Expectations


The goal of the program is to prepare students to get involved upon completion of the program in the design, implementation and deployment of real analytics applications. To achieve so, the program involves courses in the areas of business, data management, statistics, machine learning, optimization and visualization, combined with rigorous training on systems and tools. However, special emphasis has been given to the “domain expertise” dimension of the program: most data scientists agree that exposure to analytics implementation in different sectors is probably the most valuable skill of a data scientist. As a result, a full course, managed by leading industrial partners, is devoted to real case studies on health/insurance/energy/human resources/public sector/transportation/supply-chain analytics. Graduates of the program should be able to use theoretical concepts and analytical tools to efficiently and productively manage and analyze the information of a fast-paced, constantly-changing, data-rich universe.