Profile and career

Profile

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.

Career fair at the faculty

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.

Career

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.

Read about the programme structure.