Understand and shape the world with an interdisciplinary approach to data science
This interdisciplinary programme programme equips you with cutting-edge skills in social science, computer science, and statistics to tackle real-world challenges using data.
Acquire skills that are complemented, not replaced, by AI.
Explore social realities through networks, maps and texts.
Develop the ability to identify causes and effects in data.
Learn to manage databases and conduct causal, network and predictive analyses from a social science perspective.
NOTE: The university may have additional program-specific eligibility requirements. It is recommended to verify these on the official university website.
Extra Notes
Entry Requirements
Bachelor's Degree with minimum 60% from a recognised instituition + Entrance Examination & Interview Required
Remarks
B2 Level English is Required - MOI is Accepted English language level will be assessed as part of our entrance exam process. Applicants to the MSc in Social Data Science are required to complete a Type A written test and an interview as part of the admission process. The maximum score for the admission process is 100 points. The in-house written entrance exam (Type A) carries 60 points and assesses language skills, quantitative analytical skills, logical reasoning, and data insights. The interview, worth 30 points, evaluates the applicant’s motivation and aptitude for the programme. The written exam is conducted online via SkillCert, while the interview is generally held online through Microsoft Teams and lasts approximately 10–15 minutes.