Economics: Data Science
Winter intake start date
2025-02-01
Winter intake deadline
2024-11-25
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 skills 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.
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
Na studia magisterskie mogą kandydować wszyscy, którzy ukończyli studia licencjackie lub inżynierskie (studia I stopnia), studia magisterskie lub studiują na ostatnim roku studiów I-stopnia. Studia, które planujesz powinny mieć zbliżony profil do tych obecnych lub ukończonych, ponieważ w procesie rekrutacji kluczowa jest ich zgodność programowa.
- Wykaz punktów ECTS – osoby, które są jeszcze w trakcie studiów, muszą załączyć wypis punktów ECTS, w którym będzie wykazane, jakie przedmioty były realizowane na studiach oraz ile punktów za nie otrzymano.
- Dyplom ukończenia studiów licencjackich lub inżynierskich – jeśli jesteś absolwentem wyższej uczelni, nie potrzebujesz wypisu, wystarczy załączyć dyplom ukończenia studiów wraz z suplementem (w języku angielskim lub oryginał z tłumaczeniem)
- Uwaga! Każdy kierunek magisterski może mieć inne wymagania i wymagać specyficznych dodatkowych dokumentów. Przed aplikacją sprawdź na stronie uczelni, jakich dokumentów potrzebujesz!
Spełnienie wymagań w zakresie języka angielskiego można udokumentować w następujący sposób:
- IELTS – 6.5
- TOEFL – 90
To be eligible for the Master’s program in Economics, you must have:
A Bachelor’s degree in Economics or in a similar program (e.g., in Econometrics) from a university that is recognized by the program management
A solid academic background in economics, especially:
- Macroeconomics (minimum 12 ECTS)
- Microeconomics (minimum 12 ECTS)
- Game Theory (minimum 6 ECTS)
- Mathematics (minimum 12 ECTS)
- Econometrics / Statistics (minimum 12 ECTS)
Our Admissions Board may give you the opportunity to rectify deficiencies (max. 30 ECTS) during a Pre-Master's program.
And at least 2 applied Economics courses (in total minimum 12 ECTS), for instance (but not exclusively!):
- Environmental Economics (minimum 6 ECTS)
- Public Economics (minimum 6 ECTS)
- Development Economics (minimum 6 ECTS)
- Industrial Organization (minimum 6 ECTS)
A Bachelor degree in a relevant discipline such as general Communication Studies, Linguistics, or a modern language. Students with a Bachelor's degree in a different subject are most welcome to apply, but we strongly recommend that you consult us in advance for advice.
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
