Data Science: Business and Governance, track of the Master's program in Communication and Information Sciences, trains you to become a Data Scientist that can address questions like:
- 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"!
Why Data Science: Business and Governance in Tilburg?
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
Program of the Master's track Data Science: Business and Governance
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.
The Master's track Data Science: Business and Governance in short
Check the admission requirements and application procedure
Analytics, Social Media Analyst, Sentiment Analyst.
More about the career prospects
All tracks of the Master's program in Communication and Information Sciences
- Communication and Information Sciences
* new track that will be available as of August 2017