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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

  • GD-DSB-GD1 - Data Science for Business - Graduate Degree 1A
    • GD-DSB-S1 - GD DSB - Semestre 1
      • HFC551,
      • HFC552,
      • HFC553,
      • HFC554,
      • HFC555,
      • HFC556,
      • HFC557,
      • HFC558,
      • MAP530,
      • MAP531,
      • MAP532,
      • MAP534,
      • MAP535,
      • MAP536,
      • MAP658,
      • SPO501
    • GD-DSB-S2 - GD DSB - Semestre 2
      • HFC560,
      • HFC561,
      • HFC563,
      • HFC564,
      • HFC566,
      • HFC569,
      • MAP537,
      • MAP540,
      • MAP541,
      • MAP543,
      • MAP544,
      • MAP545,
      • MAP546,
      • MAP547,
      • SPO502
    • English,
    • French,
    • LGD01ALL,
    • LGD01ANG,
    • LGD01ESP,
    • LGD01FLE,
    • LGD02ANG,
    • LGD02FLE1,
    • LGD02FLE2,
    • LGD03ANG,
    • LGD03FLE,
    • LGD04ANG,
    • LGD04FLE,
    • MAP596A,
    • MAP596B
  • GD-DSB-GD2 - Data Science for Business - Graduate Degree 2A
    • GD-DSB-S3 - GD DSB - Semestre 3
    • GD-DSB-S4 - GD DSB - Semestre 4
    • LGD02ESP

Unités d'enseignement

UE Type d'enseignement Domaines Catégorie d'UE Volume horaire Responsables Site pédagogique
English English PA - C8
French Français PA - C8
HFC551 The Myth of Paris (1830-Present) PA - C8 Isabelle Schaffner
HFC552 Aspects of Comparative Commercial Law PA - C8 Sabine Sultan
HFC553 X-citing the spark PA - C8 Sarah Bouttier
HFC554 Introduction to French literature PA - C8
HFC555 Economic Sociology PA - C8 Olivier Pilmis
HFC556 Introduction to French Politics PA - C8 Pierre-Marc Renaudeau
HFC557 Geopolitics PA - C8
HFC558 Sociology of Gender and Work PA - C8 Marie Des Neiges Léonard
HFC560 Discovering, mapping and Documenting the world: the great... PA - C8
HFC561 Introduction to French Cinema PA - C8 Isabelle Schaffner
HFC563 Multicultural France PA - C8 Sarah Bouttier
HFC564 Introduction to French literature PA - C8
HFC566 Introduction to French Politics PA - C8 Pierre-Marc Renaudeau
HFC569 Philosophy of Science Fiction PA - C8 Jonathan Degenève
LGD01ALL Deutschland: Alltag und Kultur (B2) Langues Heidi Knörzer
LGD01ANG Good News, Bad News, Fake News Langues Julie Mc Donald
LGD01ESP Actualidad en el mundo hispanico Langues Jean-Baptiste Thomas
LGD01FLE Langue française et civilisation (A1) Langues Julie André
LGD02ANG Research Methods Langues Marie Des Neiges Léonard
LGD02ESP Actualidad en el mundo hispanico Langues Jean-Baptiste Thomas
LGD02FLE1 Langue française et civilisation (A2) Langues Julie André,
Brigitte Rémer
LGD02FLE2 Langue française et civilisation (A2) Langues Julie André,
Brigitte Rémer
LGD03ANG Critical Thinking Langues Meghann Cassidy
LGD03FLE Langue française et civilisation (B1) Langues Julie André,
Christine Le Saux
LGD04ANG Negotiations and Globalization Langues Aude Attuel-Hallade
LGD04FLE Langue française et civilisation (B2) Langues Julie André,
Brigitte Rémer
MAP530 Probabilty Refresher Course PA - C8 Thibaut Mastrolia,
Tabea Rebafka
MAP531 Statistics with R PA - C8 Stéphanie Allassonnière
MAP532 Mathematical Foundations of Data Science PA - C8 Flore Nabet
MAP534 Machine Learning I PA - C8 Julie Josse
MAP535 Regression PA - C8 Julie Josse,
Karim Lounici
MAP536 Python for Data Science PA - C8 Serge Cohen,
Julie Josse,
Bertrand Monfort,
Frédéric Emmanuel Picca
MAP537 Quantitative Marketing PA - C8 Julie Josse,
Eric Moulines
MAP540 Capgemini DataCamp Projects PA - C8 Julie Josse
MAP541 Machine Learning II PA - C8 Stephane Canu,
Erwan Le Pennec,
Zoltan Szabo
MAP543 Database Management PA - C8 Dario Colazzo
MAP544 Causal Inference / Reinforcement Learning PA - C8 Julie Josse
MAP545 Optimization / Deep Learning PA - C8 Julie Josse
MAP546 Statistical Models for Health PA - C8 Marc Lavielle
MAP547 Data Science for Business Seminars PA - C8 Julie Josse
MAP596A Internship for Data Science for Business (X) Stages Eric Moulines
MAP596B Internship for Data Science for Business Stages Eric Moulines
MAP658 Times Series Financial Data PA - C8 François Roueff
SPO501 Sports - 501 Sport Renan Cuzon,
François Lésin,
Alexandre Rosinski,
Alain Truong Thang Dang
SPO502 Sports - 502 Sport Renan Cuzon,
François Lésin,
Alexandre Rosinski,
Alain Truong Thang Dang
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