New types of data, in particular digital data, are flooding individual lives, organisations and societies all over the world. The broad catchphrase for the analysis of such digital traces is ‘data science’. In our master’s degree programme, we integrate the analysis of such large-scale and unstructured data – ‘big data’ – with social scientific modes of enquiry. We call this integration social data science (SDS).
The master’s degree programme combines state-of-the-art data science techniques, including machine learning, predictive analytics and natural language processing with core sociological, economic, anthropological, political science and psychological theories and methods to equip students with the competences to identify, assess and solve societal and business problems in the digital age. Read more about the programme under Profile and career.
Profile and career
The MSc in Social Data Science is a research-based, inter-disciplinary and problem-solving oriented master’s degree programme. Teaching and other learning methods vary between lectures and classroom instruction, digital data collection as well as case and project work carried out individually and together with other students. Students are encouraged and to a large extent also expected to participate actively in class discussions and other curricular and extra-curricular activities.
As a graduate, you will be able to
- Independently design, handle and analyse complex and large data sets comprising various data about behaviour, networks and/or ideas, including personal data, data and metadata from a variety of sources, in order to contribute with new and original knowledge to solve societal and business problems.
- Understand and observe legislation concerning data (including GDPR and IPR), and observe and develop rules and protocols – and ethical principles – for the collection, storage, sharing and usage of data, including personal data.
- Access and evaluate data-analytical potentials and pitfalls in research, public policy or business settings.
- Lead and coordinate teams comprised of people from a diversity of professions who collaborate on deploying social data science to create new value and solve societal and business problems.
- Identify future challenges and opportunities pertaining to social data and digitalisation writ large.
Overall, by combining social science and data science knowledge, skills and competences, you will be able to work individually and in teams with social data science issues at the highest international level. You will be able to provide solutions grounded in state-of-the-art social data science research, analyse problems and cases involving novel digital data forms and methods, and communicate your knowledge and your results to a wide range of audiences.
The study programme opens up possibilities for several types of employment, partly depending on how you decide to specialise during the second year.
Many graduates will go on to jobs in the private sector. Others will find employment in public and non-profit institutions and organisations in Denmark and abroad as well as in international organisations.
There is a considerable need for interdisciplinary data science skills in industry, service and technology businesses, and for consultants in local and global markets.
As a graduate from this programme, you can help realise this potential.
Finally, as a graduate you can pursue a research career in social data science and related disciplines.
Does your bachelor’s degree meet the academic requirements?
In order to be admitted into the MSc in Social Data Science, applicants must meet the following requirements:
- Hold one of the following bachelor’s degrees from a Danish university, a bachelor’s degree from a Danish university equivalent to any of the fields below or a bachelor’s degree from a recognised international university equivalent to any of the fields below:
|Agricultural economics||Data science|
|Anthropology||Digital design and interactive technologies|
|Business administration and digital management||Education|
|Business administration and project management||European business|
|Business administration and psychology||European ethnology|
|Business administration and sociology||Economic and business administration|
|Global business informatics||Public administration|
|International business and politics||Public health|
|Political science||Sociology and cultural analysis|
- Or hold a bachelor’s degree from a recognised Danish or international university with at least 30 ECTS from social sciences courses of which at least one should be a practical methods course. Social sciences courses include, among other things, social statistics courses, ethnography courses and other courses on qualitative or quantitative data collection and analysis; courses on culture, organisation, leadership, innovation, management or related topics which involve empirical data collection, processing or analysis; and bachelor and other self-defined projects which include social data collection, processing or analysis.
- And proficiency in English corresponding to at least English B-level; cf. Section 11 of the Danish Ministerial Order on Admission at Universities. For information on how to meet the language requirements, please click here.
Please note that we only accept applicants holding a bachelor’s degree from research-based universities. This means that degrees such as Professionsbachelor (professional bachelor’s degrees)/top-up degrees from university colleges (Metropol, Copenhagen Business Academy etc.) do not qualify for admission.
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