In today’s transforming and competitive world, companies strive to stay ahead of the market and make the best-informed business decisions. Investing in innovative technology has become a necessity.
Collecting and analyzing data in real-time help companies determine new market trends. By investing and implementing big data systems, they get new insights to build a more responsive and effective business, reach a higher level of performance, and unlock new market opportunities while monitoring their risks.
Companies who are looking to capitalize on data science and set up successful big data strategies have 3 challenges to face:
A technological challenge: collecting and storing the data pool, dealing with the spread of vast amounts of information that is often very disorganized (IP addresses, fingerprinting, website logs, static web or warehouse data, social media, etc.).
A scientific challenge: structuring and dissecting the data, uncovering knowledge from these data through different scientific tools like data visualization.
An economic challenge: understanding and interpreting the data, taking advantage of them to gain insight and boost the competitiveness to the next level. Data are becoming part of business-level strategies: they help companies improving their decision-making processes, implementing predictive analysis on emerging markets, and measuring risk before entering new segments.
École Polytechnique and our partner business school HEC Paris offer a two-year joint graduate degree program in Data Science for Business. It aims at training students in data sciences and provides them with high-level skills on technological, scientific, strategic, and business levels. Our association represents the best Engineering & Business combination Europe could possibly offer, particularly in the field of Data Science and Business.
For more information about this program, register to our online presentation sessions.
Exploiting this vast and real-time data requires:
An advanced understanding of the fields where this data can be applied to, in order to leverage these data and turn them into a market.
A strong business mindset and strategic expertise to uncover and develop the new opportunities offered in the Big Data field.
IT skills to make thoughtful decisions on IT architecture and systems.
The MSc Data Science for Business will equip you with this combination of knowledge and specialized skills. Taught jointly by École Polytechnique and HEC, this program will give you the unique opportunity to study in two of the world’s leading institutions in both the engineering and business fields.
The program combines a scientific and business approach to contemporary Data Science issues and challenges. The first year is spent at Ecole Polytechnique, with a strong focus on science and mathematics topics. The second-year is spent at HEC Business School, where students are provided with the knowledge and skills in the business field. During these two years, students benefit from world-class faculty and work with leading data scientists in specialized research units and a competitive environment.
Students will have the opportunity to broaden their knowledge in the Data Science field and to gain valuable and various skills such as:
In-depth understanding of databases and data analytics;
Methods for processing vast amounts of information and data;
State-of-the-art computer and mathematical skills and techniques;
Methodology to find practical applications of these data in the real industrial, business, and research world.
The MSc Data Science for Business aims at equipping students with a dual competence, in both the scientific and business fields. This unique and double hatted skills set is tailored to the specific needs of the 21st-century companies.
Big data are in high demand.
The MSc Data Science for Business will provide you with the fundamental skills and understanding of Data issues and challenges. This program responds specifically to the growing demand by companies for a new generation of data scientists and managers, who can deal with data pool on technological, scientific, and business levels.
During these two years, you will benefit from Ecole Polytechnique and HEC’s network of industrial, research, and institutional partners. Upon graduation, you can expect to work for top firms in a wide range of industries:
Financial, banking and insurance sector (BNP Paribas, Société Générale, Barclays, HSBC, AXA).
Telecommunications and digital (Orange, IBM, Google, Facebook, Criteo, start-ups).
Manufacturing IT industry.
E-commerce and retail companies (Amazon, FNAC, Darty, Cdiscount…).
Consultancy agencies (McKinsey, Accenture, Cap Gemini…) and Business Intelligence (Keyris, Sopra Group, CapGemini, SAP-Business Object, SAS).
Data-driven marketing industry.
Media and the leisure industry.
To enter this program, prospective students must hold or expect to hold a Bachelor's degree in Science, Engineering, Business, or Economics. A strong background in Mathematics is mandatory as they will deal with the data pool and will learn mathematical techniques for extraction and data visualization.
For more information on the admission criteria and procedure, please visit our website.
You can apply online via HEC Paris application website: http://www.hec.edu/applytomasters
Student life at École Polytechnique extends far beyond academic courses. Sports, performing arts, student clubs and activities not only enrich students’ time on campus, but also offer wonderful opportunities for learning, networking and developing important skills outside of the classroom.
École Polytechnique is pleased to provide accommodation on campus for all graduate degree students given that they request it within the given timeframe.