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Business Data Science

Erasmus School of Economics
2 years
Full time
Master's degree
On campus
Rotterdam
English
September
15,600 EUR

Program description

Business Data Science

The Research Master Business Data Science focuses on the application of Data Science techniques within business disciplines. It is a joint degree programme, offered by the schools of economics and business of EUR, UvA and VU. Course instruction is provided by top scholars from the participating schools.

The programme prepares for an academic career in business administration disciplines, like entrepreneurship, finance, human resources and analysis of organisations, marketing and supply chains.

Why study this programme?

The Research Master Business Data Science focuses on the application of Data Science techniques within business disciplines. It is a joint degree programme, offered by the schools of economics and business of EUR, UvA and VU. Course instruction is provided by top scholars from the participating schools.

The programme prepares for an academic career in business administration disciplines, like entrepreneurship, finance, human resources and analysis of organisations, marketing and supply chains.

Admission requirements

  • Application Deadline (EEA) - 1 June
  • Application Deadline (Non-EEA) - 1 February

We are looking for students with an analytical mindset and an intellectual curiosity. The programme is a selective programme for students who have the ambition of pursuing a PhD in Business at one of the schools in business and economics of Erasmus University Rotterdam, University of Amsterdam and Vrije Universiteit Amsterdam. 

1. Undergraduate degree

Students must have at least aBachelor's degree demonstrating strong analytical and quantitative skills. The Bachelor’s program should have been completed before the start of the Research Master program.

2. GRE or GMAT test scores

Valid GMAT (Graduate Management Admission Test) and/or GRE (Graduate Record Examinations, General test) results are required from all applicants who are not holding a Dutch degree before the start of the program. Applicants with a GMAT score below 700 or a GRE Quantitative score below 160 will not be considered. Successful applicants typically rank among the top 10% of examinees on the quantitative section of the GMAT and GRE. Code number for the GRE is 3811 (shared with Tinbergen Institute). Code number for GMAT is QK8-4B-73 (shared with Erasmus School of Economics). 

3. Language

An excellent command of English is crucial. Students whose native language is not English are therefore required to demonstrate English proficiency by:
– holding a degree from a Dutch university or an institution at which English is the language of instruction, or
– scoring at least 100 on the TOEFL iBT test or 7 on the IELTS test.

We require that official test scores be sent to us directly from the GRE or TOEFL/IELTS organization or can be verified online by us. Use code number 3811 for TOEFL (code is shared with Tinbergen Institute).

Note: Chinese nationals (unless already enrolled at a university in the Netherlands) have to meet the NUFFIC requirements before they can pursue their studies in the Netherlands. Also proficiency in English is assessed. Ssee FAQs for more information. 

4. Strong motivation

Students should be strongly motivated to pursue a PhD in (academic) research.. Such motivation will be assessed by a written Statement of Research Interests and Purpose of Study.

5. Recommendations

Two reference letters are required to support your application. 

6. An interview may be part of the selection process

Other qualifications being equal, preference is given to candidates who show capacity for higher academic performance.


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Program content

Study programme

The Research Master in Business Data Science is a two-year programme consisting of 120 ECTS. It is tailored for recent Bachelor's degree graduates, or those currently still enrolled in an undergraduate degree programme, who are looking to pursue a solid course of training leading to a doctoral degree.

Data Science Foundation

Acquiring skills. In year 1, the primary objective is to build a solid data science foundation and expose students to a variety of methodological approaches. These skills are applied to various business disciplines in the field courses.

Business Foundation

Building knowledge. In year 2, students focus on a given business subdiscipline, selecting from among: 1) quantitative finance, 2) management science, and 3) supply chain analytics. The courses assigned for each of these sub-disciplines have been carefully selected by a team of experts with the aim of ensuring the perfect learning trajectory that will lead to substantive contributions in the fields of each particular sub-discipline.

Research Practice

Aligning skills and knowledge. The programme starts with an overview of the business problems that data science can address (in block 0), which also exposes students to fundamental components of the different business fields. This early exposure helps students to absorb and process materials presented later in courses on methodology, with respect to the various business perspectives. Students become further acquainted with the different business fields during seminars held throughout the first year, for which they will have to write a research proposal, as well as during the research hackathon.

The research hackathon makes students think about how to approach the problems that arise in the various disciplines, and puts their knowledge to the test. Finally, the research clinic and the Research Master thesis represent students' final moments of integrating business and data science, and will showcase their ability to identify relevant problems and address them using cutting-edge techniques to make a substantive contribution to the field.

Next to taking courses, students are encouraged to select a research topic for the final thesis and to actively explore potential supervisors. The final thesis is a research project, set up by the student under experts’ supervision. The matching of students and supervisors, while largely the results of individual communication between the two parties, is supported by the DGS.

Tuition fees

Tuition fees (2019-2020)

  • €2.083 (Statutory fee: Dutch / EEA students)
  • €15.450 (Institutional fee: Dutch / EEA students)
  • €15.450 (Institutional fee: non-EEA students)

Tuition fees (2020-2021)

  • €2.143 (Statutory fee: Dutch / EEA students)
  • €15.600 (Institutional fee: Dutch / EEA students)
  • €15.600 (Institutional fee: non-EEA students)

Career opportunities

The Research Master Business Data Science prepares talented and motivated students to start their doctorate at one of the Schools in business and economics of the three partner universities or any other high quality PhD programme in Business.

A job market support programme for PhD students will support BDS graduates to enter the international academic job market.

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About this institute

Erasmus School of Economics

Erasmus School of Economics is one of the world’s leading academic institutions. The school has a long-standing tradition of high-quality education and research. The best Erasmus graduates have made outstanding contributions to science, government, and business. Based in Rotterdam, the...


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Contact info

Erasmus School of Economics

Burgemeester Oudlaan 50
3062 Rotterdam
The Netherlands

 Show phone number
www.eur.nl

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