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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
CDD550 Rentrée Enjeux Environnementaux PA - C8 Stéphane Bouchonnet,
Anne-Sarah Socié,
Alexandre Stegner
AN3-P1
English English PA - C8
French Français PA - C8
HFC550 The Art of Simulation PA - C8 AN3-P1
HFC550B Principles and history of Geopolitics PA - C8 AN3-P1
HFC551 French Crime PA - C8 Humanité et sciences sociales 1.5 Antoine Guibal AN3-P1
HFC552 Aspects of Comparative Commercial Law PA - C8 Humanité et sciences sociales 1.5 Sabine Sultan AN3-P1
HFC553 The Myth of Paris in French Imagination PA - C8 1.5 Isabelle Schaffner AN3-P1
HFC554 Debating PA - C8 1.5 Declan Mc Cavana AN3-P1
HFC555 Introduction to French Music PA - C8 1.5 Chantal Schütz AN3-P1
HFC556 Introduction to French Politics PA - C8 Humanité et sciences sociales 1.5 Pierre-Marc Renaudeau AN3-P1
HFC558 Introduction to French Cinema PA - C8 Isabelle Schaffner AN3-P1
HFC558B Introduction to French Cinema PA - C8 Humanité et sciences sociales 1.5 Isabelle Schaffner AN3-P1
HFC559 Philosophy of Science Fiction PA - C8 1.5 Jonathan Degenève AN3-P1
HFC560 Paris in the Jazz Age PA - C8 Humanité et sciences sociales 1.5 Isabelle Schaffner AN3-P2
HFC561 Representing the Self: From Montaigne to Selfies PA - C8 Antoine Guibal AN3-P2
HFC564 Introduction to Geopolitics PA - C8 Humanité et sciences sociales 1.5 Elsa SEN AN3-P2
HFC564B Comparative Politics PA - C8 Elsa SEN AN3-P2
HFC565 Humour PA - C8 Declan Mc Cavana AN3-P2
HFC566 Introduction to French Politics PA - C8 Humanité et sciences sociales 1.5 Pierre-Marc Renaudeau AN3-P2
HFC568 Sociology of energy transitions: innovation, socio-techni... PA - C8 1.5 Claire Le Renard AN3-P2
HFC569 Philosophy of Science Fiction PA - C8 Humanité et sciences sociales 1.5 Jonathan Degenève AN3-P2
HFC569B Dark sides of the City of Lights PA - C8 Jonathan Degenève AN3-P2
LAN611FLE01 LU6_JE3 - A0/A1 - Langue française et civilisation Langues Julie André AN3-P1-P2
LAN671ANG01 MA2 - Good news, bad news, fake news Langues 3 Chantal Schütz AN3-P1-P2
MAP530 Probability Refresher Course PA - C8 Mathématiques appliquées Tabea Rebafka AN3-P1
MAP531 Statistics with R PA - C8 Mathématiques appliquées 4 Clara Lage,
Pierre Latouche,
Achille Thin
AN3-P1
MAP532 Mathematical Foundations of Data Science PA - C8 Mathématiques appliquées Flore Nabet AN3-P1
MAP534 Machine Learning I PA - C8 Mathématiques appliquées 4 Thomas Kerdreux,
Sylvain Le Corff
AN3-P1
MAP535 Regression PA - C8 Mathématiques appliquées 4 Karim Lounici AN3-P1
MAP536 Python for Data Science PA - C8 Mathématiques appliquées 4 Mathurin Massias AN3-P1
MAP540 Capgemini DataCamp Projects PA - C8 Mathématiques appliquées 4 Erwan Le Pennec
MAP541 Machine Learning II PA - C8 Mathématiques appliquées 4 Jean Marc Bardet,
Clement Deslandes,
Erwan Le Pennec
AN3-P2
MAP543 Database Management PA - C8 Mathématiques appliquées 4 Dario Colazzo AN3-P2
MAP544 Carrefour DataCamp Projects PA - C8 Erwan Le Pennec,
Geneviève Robin
MAP545 Optimization / Deep Learning PA - C8 Aymeric DIEULEVEUT,
Erwan Scornet
AN3-P1-P2
MAP547 Data Science for Business Seminars PA - C8 3 Erwan Le Pennec AN3-P2
MAP596A Internship for Data Science for Business (X) Stages Mathématiques appliquées 27 Erwan Le Pennec
MAP596B Internship for Data Science for Business Stages Mathématiques appliquées 27 Erwan Le Pennec
MScT-SPO550 Postural Sport (Well-being activity) Sport AN3-P1-P2
MScT-SPO551 Volley Sport AN3-P1-P2
MScT-SPO552 Swimming Sport AN3-P1-P2
MScT-SPO553 Boxing Sport AN3-P1-P2
MScT-SPO554 Climbing Sport AN3-P1-P2
MScT-SPO555 Football Sport AN3-P1-P2
MScT-SPO556 Rowing Sport AN3-P1-P2
MScT-SPO557 Badminton Sport AN3-P1-P2
MScT-SPO558 Weight training / Cross training Sport AN3-P1-P2
MScT-SPO559 Horse Riding (Gallop 4 level min) Sport AN3-P1-P2
SPO501 Sports - 501 Sport Formation humaine, militaire et sportive 2 Renan Cuzon,
François Lésin,
Alain Truong Thang Dang
SPO502 Sports - 502 Sport Formation humaine, militaire et sportive 2 Renan Cuzon,
François Lésin,
Alain Truong Thang Dang
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