Audit & Conseil

MastèreSpécialisé®

MSc in Big Data &Business Analytics

Programme Objective

2020 Class Profile

Campus Paris and BerlinInternational seminar China

43%Business

24%Engineering

9%Finance

8%Economics

5%Computer Science

4%Marketing

7%Others

The MSc in Big Data and Business Analytics is a 1-year full-time postgraduate programme across 2 countries. It will give you all the tools to become fluent in the use of data analytics and to make performance-enhancing strategic decisions from a management perspective.

40% women

60% men

40% Nationalities

Sector Insights‘‘

‘‘

“The biggest barriers companies face in extracting value from data and analytics are organizational; many struggle to incorporate data-driven insights into day-to-day business processes. Another challenge is attracting and retaining the right talent - not only data scientists but business translators who combine data savvy with industry and functional expertise.”

McKINSEY (2016), The age of analytics: Competing in data-driven world

Careers

We will help you find the right position through the support ofour ESCP Careers Service and a strong network of students and alumni. Some examples of whatyour first professional role could be after graduation:

Big data & business analytics professionals:• Work in “big data” companies, such as EMC (Dell), Cisco, Oracle and IBM.

• Work in consulting companies, such as McKinsey & Company, BCG and Accenture.

• Are motivated to rethink and apply big data and business analytics in the strategy, as Chief Information Officer or Chief Data Officer, in energy, food, clothing and consumer goods industries.

• Create innovative start-ups.

• Business Intelligence & Analytics Consultant • Analytics Associate• Big Data Analyst• Solution Architect• Metrics & Analytics Specialist• Marketing Analyst• Financial Analyst• Business Consultant

GraduateTestimonial

“This programme is perfect for future managers with a strong appetite for disruptive technologies and data-driven strategies.

What I probably like the most is the diversity of the students and the variety of ideas. If you want to challenge yourself in a global environment while becoming a dataspecialist, then this is the right master’s programme for you.”

Alexis Barnier, Class of 2018

86% of graduates in full-time employment less than 3 months after graduation

88% work in an internationalenvironment

SALARY €52,000 average annual salary

33% IT

25% Consulting

21% Others (Health Care, Luxury, etc.)

Sectors

JobSurvey

8% Energy

13% E-commerce

Class of 2018

Academic Calendar

Sept. -Dec. 2020

Classes on the Paris Campus

Jan. -March 2021

Classes on the Paris Campus

Intake

Sept. 2020

Curriculum

Data Science Business Analytics

• Machine Learning• R & Business Analytics• Data Mining• Design Thinking• Data Quality & Visualisation • Business Networks &Security• Big Data Softwares• Big Data & Watson • Analytics • Data Framework & Ecosystem• Natural Language• Processing & Text Mining • Python

• Research Methods in Business Analytics • Microsoft Data Tools Basics• Information Systems Management• Data Driven Business Strategy• Business Process Analysis & Data Modelling • Analytical Modelling• Managerial Decision• Making & Modelling

Analytical Applications

• Accounting, Financial • Analytics & Reporting• Digital Manufacturing & Supply Chain• Marketing Analytics• Management Analytics• Digital Entrepreneurship & Innovation• Consumer Insights & Analytics (Marketing)• Soft Skills in the Digital Age• Enterprise Systems Improvement (SAP, IoT, etc.)

Apr. -June 2021

Classes on the Berlin Campus

June 2021

International Seminar

July -Dec. 2021

Internship & Professional Thesis

The aim of this international seminar in China is to allow our students to experience learning and working in an international economic, social and cultural context. Our students take courses in our academic partners’ institution, visit local companies, and conduct an international project.

InternationalSeminar

This individual applied research project is an essential part of the programme since it leads to in-depth analysis. It should be worked on in terms 2, 3 and 4. The topic has to be finalised in consultation with the professional thesis supervisor by the end of term 2. The evaluation of the Master’s professional thesis is based on a written report and a defence before a jury by the end of December. The professional thesis represents 30 of the total of 90 ECTS credits earned over this academic year.

Professional Thesis

Scientific Directors

Tuition fees 2020

Nathalie Quintin-Gezelius +33 (0)1 49 23 21 45 msc.bigdata@escp.eu

Elena Gavrilova +33 (0)1 55 65 56 93egavrilova@escp.eu

• 20 000€ Housing and transportation are not included on ESCP campuses.

Information

Programme Office

Prof. Wei ZhouProfessor in Department of Information & Operations Management. PhD in Business

Administration. French Qualification for PhD Supervisor, Management.

Research areas : Data mining, mechanisms for Web-enabled e-commerce applications, knowledge-based systems, effectively utilising information for decision support through analytical models and simulation, as well as supply chain management.

Prof. Louis-David BenyayerAffiliate Professor inDepartement of Entrepreneurship. PhD in

Management Science.

Research areas : Business models, entrepreneurship and strategic innovation, open business models, data driven strategies and organisational ambidexterity.

Admission RequirementsA Bachelor’s or Master’s degree in any field of study (minimum of 180 ECTS credits)

English Test

A strong interest and/or a previous experience in the sector.

How to apply

ONLINE APPLICATION

PERSONAL INTERVIEWIF ELIGIBLE

TOEFL, TOEIC OR IELTS SCORES

3

2

1

Ranking 2019

BERLINHeubnerweg 8 – 1014059 Berlin, Deutschland

LONDON527 Finchley RoadLondon NW3 7BG, United Kingdom

MADRIDArroyofresno 128035 Madrid, España

PARIS RÉPUBLIQUE79, av. de la République75543 Paris Cedex 11, France

PARIS MONTPARNASSE3, rue Armand Moisant75015 Paris, France

TURINCorso Unione Sovietica, 218 bis10134 Torino, Italia

WARSAWc/o Kozminski University International Relation Office57/59 Jagiellońska St.03-301 Warsaw, Poland

This

doc

umen

t non

-con

trac

tual

. Pho

to c

redi

ts: ©

ESC

P / D

an T

sant

ilis

ESCP

_MB

D_2

020

ESCP Business School is multi-accredited.

MSc in Big Data &Business Analytics