PROGRAM STRUCTURE
The key aim of the teaching in this Joint Degree is to provide students with the tools needed to solve real problems, using structured and unstructured data masses, teaching them to ask the ‘right’ questions (both from statistics and ‘business’ perspectives) and to use the appropriate mathematical and IT tools to answer these questions.
Students will be equipped to shift constantly from data to knowledge, from knowledge to strategic decision, and from strategic decision to operational business implementations.
All these shifts carry with them numerous challenges that each require an interdisciplinary approach involving mathematics, IT, business strategy, and management skills.
YEAR 1 AT ECOLE POLYTECHNIQUE
‘Data science’ is based on the statistical processing of information (Statistics / Numerical statistics and Machine learning).
A wide range of statistical methods will be explored throughout the program, along with methods derived from applied mathematics.
The program aims to sharpen students’ understanding of how these methods link basic, essential theories that play a considerable role in practice.
The teaching will focus largely on the data produced by ‘real-life’ cases obtained in association with the program’s industrial partners. We will teach students the newest and most commonly used tools in this industry.
The program will also tackle the topics of data storage, as today’s companies need to rethink constantly the structure of their information systems without compromising performances and security. In particular, it is necessary to master the latest tools in data science, mainly Hadoop and MapReduce (Pig Latin, Hive, etc.)
MATHEMATICS REFRESHERS COURSES
Depending on the profile of the students, they will have access to mathematics foundation courses (mathematics, statistics and probabilities).
CORE COURSES
INTERNSHIP
PROGRAM FACILITATORS
YEAR 2 AT HEC PARIS
HEC Paris offers a sharp focus on Data for Business for the second year of the curriculum through a range of business challenges and courses on how to create business value using data.
DATA FOR BUSINESS COURSES
Core courses
- Data for Business Challenges: working on up-to-date business cases using data from a company
- Data Engineering Courses: using latest tools (Spark, Github, Dataiku...) to build and deploy models
- Advanced Coding in Python for Machine Learning
- Reinforcement Learning and Advanced Deep Learning
- Data Science for Management Courses: Data and Finance, Data and Sustainability, Data and Legal Questions, Data and Ethics...
During the second year at HEC Paris, students will have the opportunity to open their minds by being exposed to different subjects with students from other HEC Paris Majors: Entrepreneurs, MSc International Finance, MSc Strategic Management, MSc Sustainability and Social Innovation, etc. This is a great opportunity to experience how Data Science and AI can impact different domains.
DATA FOR BUSINESS CHALLENGES
3 SPECIALIZATIONS
- Data Entrepreneurship: creating your own startup by joining the HEC Startup Launchpad
- Data Management: strengthening your expertise in data science to develop a company business from data collection to model deployment
- Data Consulting: developing key skills to support and advise companies in their data journey
