Data Science and Society Postgraduate Program By Tilburg University |Top Universities
Subject Ranking

# 201-250QS Subject Rankings

Tuitionfee

16,700 EURTuition Fee/year

Scholarship

YesScholarships

Main Subject Area

SociologyMain Subject Area

Program overview

Main Subject

Sociology

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Become a Data Analyst and 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 by following one of four tracks: Business, Governance, Media, or Health. Data Science and Society is a multidisciplinary program that gives you the opportunity to specialize by offering four tracks: Business, Governance, Media, or Health. Your track will be stated on your Master's diploma.
  • You are trained to identify patterns and gather insights from large and complex datasets.
  • You learn how to translate those insights into actionable solutions and recommendations to meet practical needs in the chosen domain.
  • Besides that, you get acquainted with laws and regulations that are relevant for data science and data scientists, particularly private and public law.
  • Finally, you learn to take ethical issues into account, such as issues regarding privacy, accountability, or human autonomy in decision making.

Program overview

Main Subject

Sociology

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Become a Data Analyst and 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 by following one of four tracks: Business, Governance, Media, or Health. Data Science and Society is a multidisciplinary program that gives you the opportunity to specialize by offering four tracks: Business, Governance, Media, or Health. Your track will be stated on your Master's diploma.
  • You are trained to identify patterns and gather insights from large and complex datasets.
  • You learn how to translate those insights into actionable solutions and recommendations to meet practical needs in the chosen domain.
  • Besides that, you get acquainted with laws and regulations that are relevant for data science and data scientists, particularly private and public law.
  • Finally, you learn to take ethical issues into account, such as issues regarding privacy, accountability, or human autonomy in decision making.

Admission Requirements

90+
6+
The Master's program in Data Science and Society offers four tracks: Health, Governance, Media, Business. If you apply to start at the end of August 2021 or later, we will not only assess if you are admissible to the Master's program, but also to which track(s) within the Master's program you are admissible. In the first place, this is done by looking at your prior educational program (major). The admissions committee may also take a minor into account in the assessment. This is explained in the following Track preference form.

Jan
Aug

Tuition Fee

Domestic Students

16,700 EUR
-

International Students

16,700 EUR
-

Scholarships

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
opportunities

Where to look for scholarship opportunities

how_to

How to apply to scholarships relevant to you

list

A list of available scholarships around the world

checklist

A scholarship application checklist

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