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Profile of the programme
More and more of culture and social interactions are translated into machine-readable data. The massive quantities of rich social, cultural, economic, political and historical data enable new opportunities for domains such as business, communication and media. For instance, using data could lead to creation of new services, the creation of new media content, the identification of new target audiences, new forms of interaction with target audiences, et cetera.
We believe that you, as a future business, communication or media specialist, need to require the necessary skills to work with data. Your future employers are desperately looking for domain specialists with practical knowledge of data. But do you need to be a hardcore computer scientist to work with data? The answer is no!
During this 30 ECTS master you will learn to work with data. You will learn to:
- critically examine the impact of data on our society;
- collect, clean, analyse and visualise data from various sources such as the Web, social media and open data through tools and basic programming;
- use data to create new concepts and services;
- create insights, predictions and actions from data using basic machine learning techniques and statistics.
Students who have followed this minor found awesome internships and jobs at respectable organisations. What are you waiting for?
This minor is interesting for students with a background in:
You will learn some basic computer programming so you should feel comfortable with working with a computer. In the past we had many non-technical students who we successfully finished this minor.
As mentioned before, this master is not primarily aimed at computer scientists. However, if you have a background in computer science you are more than welcome! We will, however, cover the basics when it comes to e.g., programming but can assist you with more advanced topics.
Course structure diagram
|Course unit title
||Number of ECTS
|Data Business and Society
|Data Project 1: Research with Data
|Data Project 2: Design for Data
Erik Hekman (firstname.lastname@example.org)
Download the course guides: