Would you like to learn how to make the world a better place by using digital technology? Are you eager to learn all about data science? Do you have a hands on attitude and excellent team spirit? Digitisation poses new questions and challenges for our societies, but it also brings new opportunities to intervene in societal issues such as social inequality and climate change. Scientifically grounded in social sciences, humanities and information science, as a student of Computational Social Science you will develop critical skills to analyse digital phenomena using advanced data science techniques combined with rigorous research methods. You will also learn how to design digital interventions and effect change to benefit society.
Do you want to know more about Computational Social Science? You can visit our online open day page any time to delve into this study programme. Watch videos, talk to students and deepen your knowledge. Or sign up for an online event or open day.
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.
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.
|Degree programme||BSc Computational Social Science|
|Credits||180 ECTS, 36 months|
|Language of instruction||English|