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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 [email protected]
Elena Gavrilova +33 (0)1 55 65 56 [email protected]
• 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
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ESCP Business School is multi-accredited.
MSc in Big Data &Business Analytics