Dian van Rooi_alumnus Economics

Economics: Data Science

1 year English Starts end of August and end of January

Become an economist with hands-on experience in processing and interpreting unstructured (big) data sets. With a strong foundation in statistical modeling and additional training in programming languages, you will have the right skillset to understand the economic value of data and to become an ''analytics translator'': a person who can bridge the technical expertise of data engineers with the end user in any organization (managers, policy makers, etc.). This is a track of MSc Economics.

#33
Worldwide in Business and Economics 
95.1% 
of the current students is (very) satisfied with their program 

National Student Survey, 2018 | n=39
 

#17
in Business & Economics worldwide

US News Best Global Universities, 2020

Program and courses

The track 'Data Science’ trains economics students in programming languages that are used in firms, the public administration, and research to work with big data and algorithms (Python and R), including hands-on exercises that analyze and present (big) data sets from structured and unstructured sources, such as Internet and Social Media data, e-mails, company reports, images, or data from diverse administrative data sources. 

  • Moreover, it offers a deeper understanding of innovation economics, the consequences of datafication, and, thereby, how innovation affects markets, political landscapes, and our societies – and what to do about it as policy maker.
  • Finally, your strong foundation in Econometrics and Economic Analysis gives you the ability to make sense of data from an economist’s perspective. 
  • This is a track of MSc Economics. You can choose to follow the main program or one of the tracks. 

Typical courses are:

  • Data Science for Economics
  • Governance of Innovation 
  • Econometrics 1 & 2

More information on the program and courses

Students at their graduation ceremony

Career prospects

Upon graduating, you will have obtained the following title (as stated on your diploma): Master of Science. 
Data scientists are highly sought after in today’s economy by all types of private and public organizations, as they enable those organizations to make better decisions (based on data). Students taking this track will become ‘translators’ between data miners (who have a computer science or engineering background) and economic and political decision makers, who rely on advice based on data.

Some examples of our graduates' jobs:

  • Policy Advisor at the Ministry of Finance
  • Statistical Analyst at De Nederlandsche Bank
  • Doctoral student at the University of Oxford

Alumni facts

  • 96% are (very) satisfied with the Master program
  • 43% work abroad
  • Gross average monthly income 1.5 years after graduation: €3,682

Source: National Alumni Survey, 2018 | n=23 (response rate 28% of graduates 2016-17)

    More information about career prospects

    Students on campus enjoying the good weather

    Application and admission

    This Master’s program starts:

    End of August and end of January

    Best preparatory programs:

    A Bachelor’s degree in Economics or in a similar program (e.g., in Econometrics)

    Pre-Master’s program:

    Open to Research University students, not to students from a Dutch University of Applied Sciences (HBO). 

    Tuition fees and scholarships

    International students find the information about the tuition fees and the scholarships available here.

    Interested in this Master’s program?

    Check your eligibility

    More information

    Please feel free to contact us for your personal queries. You can contact us on every page of the Master's website. Or find out more by choosing one of the options below.

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    Interested in the MSc Economics?

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