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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
English English PA - C8
French Français PA - C8
HFC550 Sociology of Democracy and Digital PA - C8 Humanité et sciences sociales 1.5 Fabrizio Li Vigni 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 Isabelle Schaffner AN3 - P1
HFC554 Debating PA - C8 Declan Mc Cavana AN3 - P1
HFC555 Introduction to French Music PA - C8 Chantal Schütz AN3 - P1
HFC556 Introduction to French Politics PA - C8 Humanité et sciences sociales 1.5 Pierre-Marc Renaudeau AN3 - P1
HFC557 Sociology of energy transitions: innovation, socio-techni... PA - C8 1.5 Claire Le Renard AN3 - P1
HFC560 Paris in the Jazz Age PA - C8 Humanité et sciences sociales 1.5 Antoine Guibal AN3 - P2
HFC561 Introduction to French Cinema PA - C8 Humanité et sciences sociales 1.5 Isabelle Schaffner AN3 - P2
HFC564 Geopolitics PA - C8 Humanité et sciences sociales 1.5 Elsa SEN AN3 - P2
HFC564B Advanced Geopolitics PA - C8 Elsa SEN AN3 - P2
HFC565 French Humour PA - C8 AN3 - P2
HFC566 Introduction to French Politics PA - C8 Humanité et sciences sociales 1.5 Pierre-Marc Renaudeau 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 AN3 - P2
LGD01ANG Cultural Agility Langues Langues 3 Julie Mc Donald,
Chantal Schütz
LGD01ESP Actualidad en el mundo hispanico Langues Langues 3 Cristina Marinas,
Jean-Baptiste Thomas
LGD01FLE Langue française et civilisation (A1) Langues Langues 3 Julie André,
Christine Le Saux
LGD02ANG Scientific Writing Langues Langues 3 Divya Madhavan,
Chantal Schütz
LGD02ESP Espagnol Débutant - MSc&T Langues 3 Cristina Marinas,
Tania Romero Barrios
LGD02FLE Langue française et civilisation (A2) Langues Langues 3 Julie André,
Pascale Ribardière
LGD03ANG Human Beans Langues Langues 3 Meghann Cassidy,
Chantal Schütz
LGD03FLE Langue française et civilisation (B1) Langues Langues 3 Julie André,
Olivier Crepellière
LGD04FLE Langue française et civilisation (C1/C2) Langues Langues 3 Julie André,
Antoine Guibal
MAP530 Probability Refresher Course PA - C8 Mathématiques appliquées Amandine Veber AN3 - P1
MAP531 Statistics with R PA - C8 Mathématiques appliquées 4 Aymeric DIEULEVEUT,
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 Joan MASSICH,
Mathurin Massias
AN3 - P1
MAP537 Quantitative Marketing PA - C8 Mathématiques appliquées Julie Josse AN3 - P1
MAP540 Capgemini DataCamp Projects PA - C8 Mathématiques appliquées 4 Erwan Le Pennec AN3 - P2
MAP541 Machine Learning II PA - C8 Mathématiques appliquées 4 Stephane Canu,
Thomas Kerdreux
MAP543 Database Management PA - C8 Mathématiques appliquées 4 Dario Colazzo AN3-P1-P2
MAP544 Carrefour DataCamp Projects PA - C8 Erwan Le Pennec AN3 - P2
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-P1-P2
MAP596A Internship for Data Science for Business (X) Stages Mathématiques appliquées 27 Julie Josse
MAP596B Internship for Data Science for Business Stages Mathématiques appliquées 27 Julie Josse
SPO501 Sports - 501 Sport Formation humaine, militaire et sportive 2 Renan Cuzon,
François Lésin,
Alexandre Rosinski,
Alain Truong Thang Dang
SPO502 Sports - 502 Sport Formation humaine, militaire et sportive 2 Renan Cuzon,
François Lésin,
Alexandre Rosinski,
Alain Truong Thang Dang
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