Master of Science (MSc) in Big Data and Business Analytics

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Master of Science (MSc)
Big Data and Business Analytics Specialisation
Give your data meaning

In partnership with

EY Logo

Objective

The specialisation in Big Data & Business Analytics is part of the Master Degree (DEAMIE)*

This specialisation trains you to be an expert in Business Analytics. Its primary aim is to provide an understanding of the significance of data in today’s business world. The specialisation features an interdisciplinary curriculum that helps students build the in-demand technical, analytical and communications skills needed to manage large data sets and drive organisational change.
Delivered in English on the Paris and Berlin campuses, it also includes an international seminar in China.

QS * Word University Rankings - MSc in Big Data & Business Analytics #4 Worldwide

Career opportunities

Business Intelligence & Analytics Consultant, Analytics Associate, Big Data Analyst, Solution Architect, Metrics & Analytics Specialist, Marketing Analyst, Financial Analyst, Business Consultant, etc.

Alexis BARNIER - Master in Big Data and Business Analytics - ESCP

Testimonial

Alexis BARNIER,
Student
Class of 2018

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 they have. If you want to challenge yourself in a global environment while becoming a data specialist, then this is the right master’s programme for you.”

Open-mindedness and diversity

Students from the ESCP Master of Science come from various countries and have different backgrounds: engineering, pharmaceutical, literature, social and political sciences, etc. With many nationalities represented, they constitute a multicultural promotion that enriches exchanges and group work.
Since its inception, this programme has trained many students who are part of the network of 60,000 ESCP Alumni.

Scientific Director


Lynn FARAH - Faculty - ESCP

Lynn FARAH

Teaching Professor in Department of Information & Operations Management.

PhD in Didactics of Mathematics.
Research areas: Mathematics education, Teaching and learning of Mathematics (focus on Business School Preparatory Classes)

Scientific Co-Director


Louis-David BENYAYER - Faculty - ESCP

Louis-David-BENYAYER-ESCP-Europe

Louis-David BENYAYER

Affiliate Professor in Departement of Entrepreneurship

PhD in Management Science
Research areas: business model, entrepreneurship and, strategic innovation, open business models, data driven strategies and organizational ambidexterity.

*About the Master Degree (DEAMIE)

Joining this full-time Master of Science corresponds to the determination to pursue a defined professional project and gives young graduates and young executives a combination of high value skills sought by recruiters.
This programme provides academic expertise and presentation of the best professional practices. Our goal is to train experts who will be rapidly able to progress in a globalised world.
Students will obtain 1 degree: the French Master degree (DEAMIE) and 1 diploma: MSc in Big Data & Business Analytics

the MSc in Big Data & Business Analytics’ fourth annual Hackathon

News - 20 April 2021

The MSc fourth annual Hackathon

From 15th to 19rh March, the MSc in Big Data & Business Analytics organised its annual hackathon, in partnership with Michelin.
A week, where students worked on complex data management subjects in the field of connected mobility. By making their data accessible to the ESCP students, Michelin allowed them to explore different types of data related to connected objects, social media, open data, etc. while tackling real-life problems.

Read more about it!

EY: Partner of the Master

EY: Partner of the MSc!

Our Master has the chance of being supported by EY's Vanessa Jolivalt (Alumna 2005, Partner) and Franck Chevalier (EMEIA Data & Analytics Managing Partner - Financial Sector). At EY, the purpose is Building a better working world, and it aligns with ESCP's statement to make the right choices to give meaning to business.

More Info

The Master has its own Student Society!

The MSc has its own Student Society!

The Big Data Club was established in 2017 by students of the first cohort of the MSc in Big Data and Business Analytics specialisation. Its mission is to encourage networking amongst students and industry professionals as well as provide an understanding of industry best practices and techniques used in Big Data. In previous years, the club has done so by organising conferences, workshops, a series of podcasts, webinars and networking socials.

Following us on LinkedIn, Facebook, and Instagram.

More Info

Master of Science (MSc)
Big Data and Business Analytics Specialisation
Curriculum

Our programme targets your expertise

The specialisation trains you to manage Business Analytics in an international environment

The specialisation benefits from a strong abutment of emblematic companies which provides a great professionalisation to the curriculum.

With 100% of the courses in English, 75% of international students representing more than 40 different nationalities and a 1-week international seminar, the MSc in Big Data & Business Analytics gets a strong international touch.

Students won the People's Choice Award at the Teradata University Challenge!

From ESCP with love – Asia

A 15-Month full-time programme

The programme begins in October and is organised as follow:

Core Courses - Term 1
Jul-Sep: Candidates with < 240 ECTS previous degree (or equivalent)

These six modules are compulsory only for candidates with less than 240 ECTS (or equivalent).

They run in an online format between July and September prior to the campus terms. Candidates may be exempted from attending these modules based on their previous working experience (3 years required). See Admission Tab for more information.

Core Management
  • Economics
  • Statistics
  • Accounting & Finance
  • Marketing
  • Leadership
  • Strategy

Course Modules - Term 2 & Term 3
Oct-Mar: Paris Campus | Apr-Jun: Berlin Campus

The courses provide both theory and real-life applications.

The specialiation starts in October and relies on ESCP’s highly-qualified teaching staff as well as on the visiting professors from some of the most prestigious universities and business schools in the world and invited professors with extensive professional experience in the data science field.
This programme requires a high level of English language proficiency.

Data Science
  • Machine Learning
  • R & Business Analytics
  • Data Mining
  • Design Thinking
  • Data Quality & Visualisation
Business Analytics
  • Research Methods in Business Analytics
  • Microsoft Data Tools Basics
  • Information Systems Management
  • Data Driven Business Strategy
Analytical Applications
  • Accounting, Financial Analytics & Reporting
  • Digital Manufacturing & Supply Chain
  • Marketing Analytics
  • Management Analytics

Students will also take a compulsory seminar on Ethics, Environmental, Social & Corporate Governance.

International Seminar - Term 3
Jun: A 1-week International Seminar in China

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

Professional mission - Term 4
Jul-Dec: A professional mission of 4 months minimum anywhere in the world

From July to October, students must complete an in-company internship of 4 months.
The internship is an opportunity for practical application of the theoretical concepts learned from courses, with an eye to establishing a career.

The Corporate Relations Department

The Company Relations Department is dedicated to gather placement offers from many companies. The department also organises a series of fairs involving firms, giving Masters students many opportunities to make contact.

Professional thesis & Research Seminar - Term 4
Dec: Writing and defending a professional thesis

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 coordination 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 an oral defense before a jury by the end of December.

Professional thesis represents 17 of the total of 90 ECTS credits earned over this academic year.*

During this time, students will also participate in a mandatory Research Seminar held by a ESCP professor. This seminar represents 3 ECTS credits of the total of 90 earned over this academic year.

the MSc in Big Data & Business Analytics’ fourth annual Hackathon

News - 20 April 2021

The MSc fourth annual Hackathon

From 15th to 19rh March, the MSc in Big Data & Business Analytics organised its annual hackathon, in partnership with Michelin.
A week, where students worked on complex data management subjects in the field of connected mobility. By making their data accessible to the ESCP students, Michelin allowed them to explore different types of data related to connected objects, social media, open data, etc. while tackling real-life problems.

Read more about it!

EY: Partner of the Master

EY: Partner of the MSc!

Our Master has the chance of being supported by EY's Vanessa Jolivalt (Alumna 2005, Partner) and Franck Chevalier (EMEIA Data & Analytics Managing Partner - Financial Sector). At EY, the purpose is Building a better working world, and it aligns with ESCP's statement to make the right choices to give meaning to business.

More Info

The Master has its own Student Society!

The MSc has its own Student Society!

The Big Data Club was established in 2017 by students of the first cohort of the MSc in Big Data and Business Analytics specialisation. Its mission is to encourage networking amongst students and industry professionals as well as provide an understanding of industry best practices and techniques used in Big Data. In previous years, the club has done so by organising conferences, workshops, a series of podcasts, webinars and networking socials.

Following us on LinkedIn, Facebook, and Instagram.

More Info

Master of Science (MSc)
Big Data and Business Analytics Specialisation
Careers

Placement Report

Job Survey conducted among graduates from the Big Data & Business Analytics Specialisation class of 2018 .

86%

are currently working
less than 3 months after graduation

88%

have a job
in an international dimension

Salary

€52,000 average annual salary

Sectors

33%

IT

25%

Consulting

13%

E-commerce

8%

Energy

21%

Others (Health Care, Luxury, …)

They held positions of…

  • IT Risk Consultant
  • Finance & IT Analyst
  • Business Consultant
  • Data Scientist
  • Digital Transformation Consultant
  • IA Consultant
  • Senior Pricing Strategy Manager
  • Talent Acquisition Manager
  • AI Business Analyst
  • Pricing manager
  • Market Analyst

Companies Hiring

Alerta Omsorg AB – Boston Consulting Group – Capgemini Invent – CIFI Holdings (Group) Co. Ltd – CMA-CGM –Criteo – Deloitte – Engie – Eulidia – IBM Interactive – KPMG France – Magellan-consulting – Procter & Gamble – Sogeti – Total – …

 

the MSc in Big Data & Business Analytics’ fourth annual Hackathon

News - 20 April 2021

The MSc fourth annual Hackathon

From 15th to 19rh March, the MSc in Big Data & Business Analytics organised its annual hackathon, in partnership with Michelin.
A week, where students worked on complex data management subjects in the field of connected mobility. By making their data accessible to the ESCP students, Michelin allowed them to explore different types of data related to connected objects, social media, open data, etc. while tackling real-life problems.

Read more about it!

EY: Partner of the Master

EY: Partner of the MSc!

Our Master has the chance of being supported by EY's Vanessa Jolivalt (Alumna 2005, Partner) and Franck Chevalier (EMEIA Data & Analytics Managing Partner - Financial Sector). At EY, the purpose is Building a better working world, and it aligns with ESCP's statement to make the right choices to give meaning to business.

More Info

The Master has its own Student Society!

The MSc has its own Student Society!

The Big Data Club was established in 2017 by students of the first cohort of the MSc in Big Data and Business Analytics specialisation. Its mission is to encourage networking amongst students and industry professionals as well as provide an understanding of industry best practices and techniques used in Big Data. In previous years, the club has done so by organising conferences, workshops, a series of podcasts, webinars and networking socials.

Following us on LinkedIn, Facebook, and Instagram.

More Info

Master of Science (MSc)
Big Data and Business Analytics Specialisation
Admissions

Requirements

  • A minimum 180 ECTS credits Bachelor or Master degree in any field of study
  • Proficiency in English

Procedure

Step 1: Application

Applications are made online. Carefully complete the online application form before the deadline specified in the Admission Calendar and include the following required documents:

  • A copy of a master/bachelor diploma obtained or a certificate of enrolment for current studies
  • A 2-year university transcript of your Master or Bachelor degree
  • A copy of your TOEFL or TOEIC listening and reading score or IELTS score (taken within the last two years)
  • We strongly recommend adding two reference letters to your application

An admission committee declares the eligibility of candidates. Eligibility results will be displayed on our website.

Step 2: Personal Interview

If you are declared eligible, you are invited to a personal interview with the Academic Director of the Master as well as professionals from the sector.
Acceptance results are sent out by email on the date specified in the Admission Calendar.

Step 3: Confirmation

If you are accepted and offered a place you must confirm acceptance of the offer by the date specified in the Admission Calendar and pay a non-refundable deposit of €2.000 to secure a place in the programme.

Admission Calendar

1st round 2nd round 3rd round
Deadline for online application
6 Jan 2022 28 Mar 2022 7 Jun 2022
Eligibility results
19 Jan 2022 19 Apr 2022 20 Jun 2022
Interviews for eligible candidates
27-31 Jan 2022 25 Apr - 6 May 2022 23-27 Jun 2022
Acceptance results
3 Feb 2022 10 May 2022 30 Jun 2022
Confirmation
17 Feb 2022 19 May 2022 8 Jul 2022

the MSc in Big Data & Business Analytics’ fourth annual Hackathon

News - 20 April 2021

The MSc fourth annual Hackathon

From 15th to 19rh March, the MSc in Big Data & Business Analytics organised its annual hackathon, in partnership with Michelin.
A week, where students worked on complex data management subjects in the field of connected mobility. By making their data accessible to the ESCP students, Michelin allowed them to explore different types of data related to connected objects, social media, open data, etc. while tackling real-life problems.

Read more about it!

EY: Partner of the Master

EY: Partner of the MSc!

Our Master has the chance of being supported by EY's Vanessa Jolivalt (Alumna 2005, Partner) and Franck Chevalier (EMEIA Data & Analytics Managing Partner - Financial Sector). At EY, the purpose is Building a better working world, and it aligns with ESCP's statement to make the right choices to give meaning to business.

More Info

The Master has its own Student Society!

The MSc has its own Student Society!

The Big Data Club was established in 2017 by students of the first cohort of the MSc in Big Data and Business Analytics specialisation. Its mission is to encourage networking amongst students and industry professionals as well as provide an understanding of industry best practices and techniques used in Big Data. In previous years, the club has done so by organising conferences, workshops, a series of podcasts, webinars and networking socials.

Following us on LinkedIn, Facebook, and Instagram.

More Info

Master of Science (MSc)
Big Data and Business Analytics Specialisation
Fees & Financial

Application Fees

  • For one Specialised Masters® programmes: €130 (non-refundable)
  • For two Specialised Masters® programmes: €195 (non-refundable)

Fees Academic Year 2021/2022

€20,550
Including:

  • travel & accommodation costs of the international seminar (mandatory seminar in June)

The fees are invoiced either:

  • in one instalment at the beginning of the academic year
  • direct debit option: 6 monthly instalments paid from November to April

Travel & accomodation fees are not included for all classes on ESCP campuses (Berlin, London, Paris, Madrid, Turin or Venice).

Candidates entering the programme with less than 240 ECTS will also be required to attend an additional online semester with a supplement fee of €3,000.

Applicants who are offered a place must confirm their acceptance and pay a non-refundable deposit of €2,000 for tuition fees.

 

Funding and Scholarships

Scholarships

ESCP Scholarships

ESCP scholarships of 10% of tuition fees are available based on merit and financial needs.
Scholarships are awarded based on the following criteria:

  • Previous studies in France: students who have been granted a CROUS scholarship based on financial needs over the past two years
  • Previous studies abroad: you must provide us with documentation allowing us to evaluate your financial situation.
  • Only first list students are eligible

Students have to submit an application online between June and September. The link will be sent when the candidate will confirm his/her seat. Awards are announced at the end of September.

This specialisation is eligible for the CROUS-Paris scholarship. Your scholarship request must be done here.

Internships

Students must carry out internship(s) for a minimum of 4 months in order to graduate. Internships  salaries typically range from €500 and €2,000 per month.
Work permits are not required as the internship is a compulsory part of the curriculum.
The internship is a substantial source of funding for the Master programme.

Campus jobs

Many on-campus jobs are available (clerical work, research or other) and paid by the hour (€10 gross per hour).

Bank loans

You may apply for a bank loan both in your home country and your country of studies.  Many banks offer student loans at attractive rates, with deferred pay-back. Please be aware that French banks require guarantors residing in France. ESCP has negotiated advantageous loan packages with BNP Paribas, BRED, LCL and Société Générale.

the MSc in Big Data & Business Analytics’ fourth annual Hackathon

News - 20 April 2021

The MSc fourth annual Hackathon

From 15th to 19rh March, the MSc in Big Data & Business Analytics organised its annual hackathon, in partnership with Michelin.
A week, where students worked on complex data management subjects in the field of connected mobility. By making their data accessible to the ESCP students, Michelin allowed them to explore different types of data related to connected objects, social media, open data, etc. while tackling real-life problems.

Read more about it!

EY: Partner of the Master

EY: Partner of the MSc!

Our Master has the chance of being supported by EY's Vanessa Jolivalt (Alumna 2005, Partner) and Franck Chevalier (EMEIA Data & Analytics Managing Partner - Financial Sector). At EY, the purpose is Building a better working world, and it aligns with ESCP's statement to make the right choices to give meaning to business.

More Info

The Master has its own Student Society!

The MSc has its own Student Society!

The Big Data Club was established in 2017 by students of the first cohort of the MSc in Big Data and Business Analytics specialisation. Its mission is to encourage networking amongst students and industry professionals as well as provide an understanding of industry best practices and techniques used in Big Data. In previous years, the club has done so by organising conferences, workshops, a series of podcasts, webinars and networking socials.

Following us on LinkedIn, Facebook, and Instagram.

More Info

Page Last Modified : 20/09/2021