Major Data Science (joint bachelor TiU)

Major Data Science (joint bachelor TiU)

The Bachelor Data Science is a joint undergraduate program by Tilburg University and Eindhoven University of Technology. The bachelor is an English taught program that teaches you to analyze and apply complex, unstructured data to provide new insights to unsolved issues faced by government, industry and society.

This video gives you an impression of the program.

Program learning objectives

Intended Learning outcomes

Students who complete the program are awarded a BSc degree, which is evidence of the following skills and competences:

Knowledge and understanding:

  1. Graduates have foundational knowledge and understanding of the theories, principles, methods, and techniques for data storage, integration, handling, cleaning and processing.
  2. Graduates have in-depth knowledge and understanding of theories, principles, methods, and techniques focused on data analysis.
  3. Graduates are familiar with the major legal, behavioral and ethical issues associated with the application of data science in addressing business and societal challenges.

Applying knowledge and understanding:

  1. Graduates are able to store and process data in a way that allows for data exploration and analysis (building information platforms).
  2. Graduates are able to apply a broad set of techniques and tools for data analysis.
  3. Graduates know how to solve actual well-defined (business) problems tackling them from a broad, interdisciplinary perspective in combination with data analysis expertise, knowledge and skills.

Making judgements:

  1. Graduates are able to assess the quality, limitations, and potential of data sets in relation with the question or problem at hand, and to interpret and understand the results from their analyses and tools they used.
  2. Graduates are able to identify the (substantive) problems or questions that can be addressed using specific data sets.
  3. Graduates have the ability to critically reflect on the social, ethical and legal aspects of their results and solutions.


  1. Graduates have good communication skills (oral and written) and are able and willing to visualize and communicate their work to specialists and non-specialists.
  2. Graduates can communicate and work in a multidisciplinary and international team.

Learning skills and attitude:

  1. Graduates have the learning skills necessary to successfully continue their study at the level of a master’s program.
  2. Graduates are motivated, self-actuated, and self-learners. Graduates are open to new developments and ideas in the field of data science and are able to actively learn new skills, obtain new knowledge, and apply new insights in their field.
  3. Graduates show a reflective and critical attitude towards themselves and their field, including an ethical, societal, and legal awareness with regard to the innovative and entrepreneurial possibilities and limitations in the field of data science.

More information

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