The Master of Science (MSc) in Social Data Science is a two-year program that equips students with advanced data science techniques, including machine learning and predictive analytics, combined with core social science theories and methods. This interdisciplinary approach prepares graduates to tackle societal and business challenges in the digital age by analyzing large, unstructured datasets using social science research methods. The program integrates cutting-edge computer science with essential social science knowledge, making graduates highly sought after in various sectors. Graduates will gain expertise in analyzing 'big data' and are prepared for roles in industry, technology businesses, consulting firms, and organizations worldwide. The program focuses on three central concepts: behavior (what people do), networks (their connections and social organization), and ideas (what people know and think). Learning is collaborative, starting with a 'base camp' that introduces key methods, theories, and ethical considerations.
The MSc in Social Data Science is a two-year program structured over four semesters. The first year consists of compulsory courses, while the second year allows for specialization through elective courses, internships, fieldwork, or a thesis. The curriculum is built around the concepts of behavior, networks, and ideas, integrating methods from ethnography to machine learning.
Graduates with interdisciplinary data science skills are in high demand across various sectors, including industry, service, technology businesses, and consulting firms. The MSc in Social Data Science at UCPH prepares students for roles analyzing complex societal and business problems using advanced data techniques.
Degrees that do not qualify include certain professionsbachelor degrees (e.g., in Export and Technology, Finance, Social Work). Applicants with international degrees must ensure their qualifications are recognized. The university may assess the relevance of the bachelor's degree based on the portfolio of courses, grades, and relevant experience.
Tuition fees apply to students from outside the EU/EEA/Switzerland. The fee is 75,000 DKK per semester. The tuition fee must be paid upon request, and enrollment/registration is not possible before full payment. Refunds are only possible if the student cancels before the official semester start.
Tuition fees for students from outside the EU/EEA/Switzerland are 75,000 DKK per semester. Enrollment is not possible before full payment. Refunds are only possible if the student cancels before the official semester start.
The Master of Science (MSc) in Social Data Science is a two-year program structured over four semesters.
Applicants need a qualifying bachelor’s degree from a recognized university, equivalent to fields such as Anthropology, Economics, Sociology, or Political Science. Alternatively, a degree with at least 30 ECTS credits in social sciences, including a practical methods course, is required. Proof of English language proficiency equivalent to Danish upper secondary school 'English level B' is also necessary.
Graduates are in high demand and can pursue roles such as Data Scientist, Data Analyst, Social Data Scientist, Business Analyst, Consultant, or Researcher in various sectors including industry, technology, and consulting firms.
The language of instruction for the MSc in Social Data Science program is English.
The application deadline for non-EU/EEA/Swiss students is January 15.