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Graduate Degree - Data Science for Business

Contexte

In today’s transforming and competitive world, companies strive to stay ahead of the market and make the best informed business decisions. Investing in the 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:

1/ 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.).

2/ a scientific challenge: structuring and dissecting the data, uncovering knowledge from these data through different scientific tools like data visualization.

3/ an economic challenge: understanding and interpreting the data, taking advantage of them to gain insight and boost the competitivity 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.

Objectif

Ecole 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.

contenu

The program combines a scientific and a business approach to contemporary Data Science issues and challenges. The first year is spent at Ecole Polytechnique, with a strong focus on scientific and mathematic 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.

domaines d'enseignement

Mathématiques appliquées.

compétences acquises

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.

métiers

- 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.

débouchés

- 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.

Parcours

Unités d'enseignement

UE Type d'enseignement Domaines Catégorie d'UE Credit Ects Volume horaire Responsables Periode de programmation Site pédagogique
HFC551 The Myth of Paris (1830-Present) PA - C8 Humanité et sciences sociales 1.5 Isabelle Schaffner S13
HFC552 Aspects of Comparative Commercial Law PA - C8 Humanité et sciences sociales 1.5 Sabine Sultan S13
HFC553 Topics in Science, Technology, and Society PA - C8 Humanité et sciences sociales 1.5 Luis Felipe Murillo S13
HFC555 Economic Sociology PA - C8 Humanité et sciences sociales 1.5 Olivier Pilmis S13
HFC556 Introduction to French Politics PA - C8 Humanité et sciences sociales 1.5 Pierre-Marc Renaudeau S13
HFC557 Introduction to Political Philosophy: Philosophy of Work PA - C8 Humanité et sciences sociales 1.5 Maël Pégny S13
HFC558 EU Governance and Policies: Focus on Research and Innovat... PA - C8 Humanité et sciences sociales Lilian Cadet S13
HFC561 Introduction to French Cinema PA - C8 Humanité et sciences sociales 1.5 Isabelle Schaffner S23
HFC563 Multicultural France PA - C8 Humanité et sciences sociales 1.5 Sarah Bouttier S23
HFC564 Sociology of Energy Transitions: Innovation, Socio-techni... PA - C8 Humanité et sciences sociales 1.5 Claire Le Renard S23
HFC566 Introduction to French Politics PA - C8 Humanité et sciences sociales 1.5 Pierre-Marc Renaudeau S23
HFC567 Introduction to Political Philosophy: Philosophy of Work PA - C8 Humanité et sciences sociales S23
HFC569 Philosophy of Science Fiction PA - C8 Humanité et sciences sociales 1.5 Jonathan Degenève S23
MAP530 Probabilty Refresher Course PA - C8 Mathématiques appliquées Thibaut Mastrolia,
Tabea Rebafka
S13
MAP531 Statistics PA - C8 Mathématiques appliquées 4 Stéphanie Allassonnière S13
MAP532 Mathematical Foundations of Data Science PA - C8 Mathématiques appliquées 4 Flore Nabet S13
MAP534 Introduction to Machine Learning PA - CZ Mathématiques appliquées 4 Julie Josse S13
MAP535 Regression PA - C8 Mathématiques appliquées 4 Julie Josse,
Karim Lounici
S13
MAP536P Python for Data Science PA - C8 Mathématiques appliquées 3 Serge Cohen,
Julie Josse,
Bertrand Monfort,
Frédéric Emmanuel Picca
S23
MAP536R R for Data Science PA - C8 Mathématiques appliquées 3 Julie Josse S13
MAP537 Quantitative Marketing PA - C8 Mathématiques appliquées Julie Josse,
Eric Moulines
MAP540 Data Camp Project PA - C8 Mathématiques appliquées 5 Julie Josse S23
MAP541 Advanced Machine Learning PA - C8 Mathématiques appliquées 4 Stephane Canu,
Erwan Le Pennec,
Zoltan Szabo
S23
MAP543 Database Management II PA - C8 Mathématiques appliquées 4 Dario Colazzo S123
MAP546 Statistics in Action PA - C8 Mathématiques appliquées 4 Marc Lavielle S23
MAP596A Internship for Data Science for Business (X) Stages Mathématiques appliquées Eric Moulines S33
MAP596B Internship for Data Science for Business Stages Mathématiques appliquées 27 Eric Moulines S33
MAP658 Times Series Financial Data PA - C8 François Roueff S13
PHY101 Physics I: Mechanics and Heat Cours scientifique Mécanique Didier Clouteau,
Arnd Specka
S1BACH
SPO502 Sports - 502 Sport Formation humaine, militaire et sportive 2 Renan Cuzon,
François Lésin,
Alexandre Rosinski,
Alain Truong Thang Dang
Sports
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