Data Science and Society

Tilburg University
Miestas, šalis
Tilburg, Netherlands
Studijų trukmė
1 m.
Programos sritys
Data Science & Big Data
Studijų kaina
2143.00 EUR
Programos pradžia
Stojimo pabaiga
Apie programą
Stojimo reikalavimai
Karjeros galimybės

Study to become a Data Analyst who is able to provide solutions for societal challenges with the use of complex data sets. Add value to a team, company or organization with a combination of technical skills, knowledge about legal and ethical issues related to data science, and the ability to effectively communicate with professionals and researchers from different disciplines. Specialize in Business, Governance, Media, or Health.

  • How do we deal with large amounts of data available?

  • What techniques do we use to mine the data?

  • What are the legal and ethical aspects regarding these data sets?

  • And what economic value can be found in these Big Data?

Today’s society operates on large amounts of data. That's why industry, governments and academia are in need of professionals who can provide insights into these data. The Harvard Business Review even calls Data Scientist "the sexiest job of the 21st century"!

  • A Master's specialization unique in Europe and possibly even in the world:
    Four schools (Tilburg School of Economics and Management, Tilburg School of Law, Tilburg School of Social and Behavioral Sciences, and the Tilburg School of Humanities) work together in offering the best possible training for the job of the future, that of Data Scientist.

  • A well-balance mixture of theoretical and practical (elective) courses. Work with fellow students on real world 'Data Challenges'.

  • Cover all relevant aspects of Data Science. The MSc specialization consists of courses in methods of analysis, together with economic and management as well as legal, ethical and methodological perspectives on data. All of them taught by experts in these fields.

Program of the Master's track Data Science and Society

The compulsory courses are:

  • Analytics for Business & Governance - Teaches the economic aspects of Data Science.

  • Data Science Regulation & Law - Teaches the legal aspects of Data Science.

  • Machine Learning - Apply relatively simple algorithms on tasks regarding Machine Learning and Data Mining.

  • Social Data Mining - A broad and accessible introduction to Data Science which teaches research skills in data mining and pattern recognition.

  • Data Processing - Learn the basics of the computer language Python, which is suitable for quickly creating short programs to process texts and data sets.

  • Statistical Programming with R - Learn the basics of the programming language R to conduct a number of analyses, such as exploratory data analysis, data visualisation, and linear regression analysis.

2 elective courses allow you to further specialize in the economic and management, legal or methodological aspects of Data Science. In Data Challenges you will work on real world cases under the guidance of lecturers from four different schools, bringing together everything you learned so far.

Reikalaujamas išsilavinimas

Į magistro studijų programas gali stoti visi, baigę universitetą arba besimokantys paskutiniame kurse. Studijos kurias baigei ar tebesimokai turi būti panašios krypties kaip ir tos, į kurias nori stoti, kadangi priėmimas yra paremtas ECTS kreditų suderinamumu.

  • ECTS kreditų išrašas - jei dar nesi baigęs aukštosios mokyklos, būtina prisegti ECTS kreditų išrašą, kuriame būtų matyti, kokius dalykus Tu mokeisi bei kokius pažymius ir kiek kreditų už juos gavai. Kai siunti anketą paskutiniame kurse, diplomą reikia prisegti vėliau, kai tik jį gausi.
  • Bakalauro diplomas – jei jau esi baigęs aukštąją mokyklą, išrašo nereikia, užtenka prie anketos prisegti savo Bakalauro diplomą.
Anglų kalbos reikalavimai

Anglų kalbos žinias gali patvirtinti vienu iš šių būdų:

  • IELTS – 6.5 (ne mažiau nei 6.0 iš kiekvienos dalies)
  • TOEFL – 90
Svarbūs reikalavimai

The academic background of the students in our Master's program varies a lot. You are certainly eligible to apply if you have a Bachelor's degree in a relevant discipline, such as:

  • Communication and Information Sciences

  • Public Administration

  • Global Law

  • International Business Administration

  • Economics

  • Sociology

  • Organization Studies

  • Psychology

  • Liberal Arts and Sciences (major Business and Social Sciences)

  • Business informatics

Students with a Bachelor's degree in another relevant area are also most welcome to apply. With a prior education in the Netherlands at a higher education institution, you can get an indication of your eligibility at

Data Science: Business and Governance graduates will not only have knowledge and expertise in the area of data analysis and data mining, but also in economic, management and legal perspectives on big data. This makes them well equipped to function as a 'linking pin' between programmers and higher management in an organization. As a linking pin you can advise on how to collect, manage, analyze and interpret data, as well as on how to maximally benefit from the data available in compliance with laws and regulations.

Growing need for Data Scientists

There is a growing need in government organizations, in companies and in academia for employees with the analytical skills needed to analyze large datasets, recognize patterns, and visualize data, and combining these skills with interdisciplinary knowledge of perspectives on Data Science.

Broad range of professions

Data Scientist is a relatively new profession, so we’re just at the beginning of identifying employment opportunities. Here are just a few:

  • Data Scientist
  • Statistical / Data Analyst
  • Data Protection Manager
  • Data Regulatory Officer
  • Consultant Data Concessions
  • Web Data Entrepreneur
  • Predictive Analytics Modeler, Data Scientist
  • Business Intelligence & Analytics Lead
  • Advanced Analytics Practice Manager
  • Manager Customer Analytics
  • Marketing Research Analyst
  • Litigation Support Analyst
  • e-Health Analyst
  • Public Records Analyst
  • Web Analyst
  • Social Media Analyst
  • Privacy Officer
  • HR analyst
  • Open government analyst
  • On-Line Data Strategist
  • Data journalist
  • Heath-care quality analyst
  • Neuro-data analyst
  • Customer profile analyst
  • Culture analyst
  • Sentiment analyst