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Our Bachelor’s programme Computational Social Science is positioned at the intersection of social sciences, humanities and information science. It includes theory, research methodology and statistics as well as programming (in Python) and change-making skills. You will become specialised in sustainable digital interventions for complex societal challenges (e.g. issues regarding digital surveillance and global health). You will do so through semester-long group projects that combine and apply all the skills and knowledge of the programme, often tackling real problems in consultation with actual clients and societal stakeholders.
Programme Director Eelke Heemskerk and Student Assistant Tommy Blomvliet share all the ins and outs of the bachelor's Computational Social Science, including career prospects for graduates.
Theory and practice are strongly connected
One of a kind programme
Real world data, real world problems
As a graduate of Computational Social Science, you will be prepared for enrolment in designated disciplinary or interdisciplinary Master’s programmes in social sciences, humanities and (data/computer) sciences. However, Computational Social Science also offers you an excellent position in the labour market, whether you want to pursue a career in IT, advisory, policy or management. You will become a professional who combines technical expertise with academic skills, such as problem solving, creativity, project management, programming and analytical thinking.
Is Computational Social Science for you?
- You envision yourself as a future change maker.
- You are eager to learn how to use (advanced) research, data science and programming skills to understand and solve complex problems.
- You are interested in the legal, economic, socio-cultural and political contexts of societal challenges.
- You are willing to take responsibility for your own learning within a project-based curriculum.
- You are ready to work with stakeholders and clients to tackle real societal problems during your Bachelor's.