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

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

Objective of the Programme

The significant volume of data generated by companies today has placed it at the core of the strategic decision-making process.

The Master in Big Data and Business Analytics 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 programme 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.

This Master is supported by an extensive network of renowned academic and professional partners in Europe who make up the International Advisory Board which supports excellence in the programme. Delivered in English on the Paris and Berlin campuses, it also includes an international seminar in China.

 

Participants’ background
(class of 2018)

  • Management sciences: 37.5 %
  • Engineering: 27.5 %
  • Economics / Finance: 25%
  • Marketing / Communications: 7.5 %
  • Political science: 2.5 %%

15

nationalities

50%
women

50%
men



Testimonial

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

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.”

Alexis BARNIER
Student
Class of 2018


 
 

Open-mindedness and diversity

Students from the ESCP Europe Master in Big Data & Business Analytics come from various countries and have different educational backgrounds.. Originating from 15 different countries, they form a group of multicultural participants, which makes discussing and working in groups all the more enriching.

 
 

Scientific Director


Hsin-Hsuan Meg LEE - Faculty - ESCP EUrope

Wei ZHOU

Professor 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 utilizing information for decision support through analytical models and simulation and supply chain management

 

Advisory Board

The mission of the Master in Big Data & Business Analytics Advisory Board is to foster and support excellence of education for this Master Programme.

The board serves as an advisory resource for the Master in Big Data and Business Analytics programme regarding such matters as mission, strategy, curriculum, external activities, student recruiting, student placement, internships, fundraising, and new initiatives.
Each year, the advisory board reviews the programme’s achievement of its goals and identifies opportunities for improvement.

List of Members

 

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

 

Our programme targets your expertise

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

The programme benefits from a strong abutment of emblematic companies which provides a great professionalisation to the curriculum. With 100% of the courses in English, between 75% of the class represented by international students and a 1-week international seminar, the Master gets a strong international touch.

 

A one-year full-time programme

The programme begins in September and is organised as follow:

Course Modules
9 months of theory classes, study of expertise, and practical cases

The courses provide both theory and real-life applications.

The programme starts in September and relies on ESCP Europe’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.

Business Analytics
  • Business Process Analysis & Data Modeling
  • Data Driven Business Strategy
  • Analytical Modeling
  • Information Systems Management
  • Managerial Decision Making & Modeling
Data Science
  • R & Business Analytics
  • Introduction to Data Mining & Machine Learning
  • Data Quality & Visualization
  • Big Data Softwares, NoSQL & Watson Analytics
  • Design Thinking
Analytical Applications
  • Accounting basics & Financial Reporting
  • Financial Analytics
  • Management & Consumer Insights (Marketing) Analytics
  • Enterprise Systems Improvement (SAP, IoT, etc.)
  • Digital Manufacturing & Supply Chain
  • Digital Entrepreneurship & Innovation

International Seminar
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
A professional mission in the form of an in-company internship of 4 months 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
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 finalized 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 30 of the total of 90 ECTS credits earned over this academic year.

 

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

 

Requirements

  • Holders of a Bachelor’s or Master’s degree in any field of study (minimum of 180 ECTS credits)
  • English test

 

Procedure

Step 1: Application

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

  • A copy of a Master/ or a Bachelor diploma already obtained OR a certificate of enrolment for current Bachelor studies
  • A 2-year university transcript of your Master or Bachelor degree
  • Two reference letters (they can be sent apart and in another format than the one proposed)
  • A copy of your TOEFL or TOEIC listening and reading score or IELTS score* (taken within the last two years)

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

*Exemption: native speakers and international students with a minimum of 2 years of studies in an English-speaking country.

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 will be displayed on our website.

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

Three admission intakes are opened for the academic year starting September 2018.

1st intake 2nd intake 3rd intake
Deadline for online application
10 Jan 2018 14 Apr 2018 21 Jun 2018
Deadline for submitting your application
1 Jan 2018* 15 Apr 2018* 22 Jun 2018*
Eligibility results
17 Jan 2018
on the website
4 May 2018
on the website
4 Jul 2018
on the website
Interviews for eligible candidates
25-27 Jan 2018 11-24 May 2018 7-11 Jul 2018
Acceptance results
31 Jan 2018
on the website
30 May 2018
on the website
12 Jul 2018
on the website
Confirmation
28 Feb 2018 26 Jun 2018 21 Jul 2018

*The application must be postmarked by the deadline

 

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

 

Application Fees

  • For one Specialised Masters® programmes: €130
  • For two Specialised Masters® programmes: €180

 

Fees

The fees for the academic year 2018/2019 are set at €19,200 (including costs of the international seminar - transport & accommodation - and books).
Fees are payable:

  • in one instalment at the beginning of the academic year
  • or 6 monthly instalments from November to April.

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

Masters Scholarships, depending on both financial need and merit, will be granted to the students in the Master programme.
Scholarships are awarded based on the following criteria:

  • students who were granted a scholarship based on financial need in the last two years;
  • students who are admitted (not wait-listed).

The scholarship amount is 10% of the tuition fees. Award notification is made in September.

ESCP Europe Foundation scholarships, available to all students, are granted on both merit and financial need.  The amount of the award is €2,000. There are 10 scholarships available.

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 Europe has negotiated advantageous loan packages with BNP Paribas, BRED, LCL and Société Générale.