Where will you work?

Our alumni will find work in all kinds of organisations all over the world.
The MSc in Social Data Science is a new programme starting in 2020 at the University of Copenhagen. For this reason, we do not have alumni yet. However, if you are interested in knowing more about what companies from the Danish labour market have to say about the potential new candidates with training in social data science, you will find both the application and the labour market analysis here at the website of the Ministry of Higher Education and Science (in Danish).

Employment

Graduates with skills in social data science are sought-after by organisations all over the world. In the Danish labour market, companies such as COWI, Deloitte, DFDS, IBM, McKinsey, Mærsk, Novo Nordisk and Ørsted are all looking for graduates within social data science.

Career fair at the faculty

In the survey on the potential labour market for graduates of the MSc in Social Data Science programme that was conducted in 2018, many types of employers from the private and public sector expressed sincere interest in recruiting these skilled candidates, e.g.:

  • Advertisement agencies
  • Consultancies
  • Consulting engineers
  • Energy companies
  • Finance institutions/banks/insurance companies
  • IT companies
  • Logistics/transport companies
  • Medical/medico companies
  • Public administration/municipalities
  • Retail companies/supermarkets
  • Strategic/innovation agencies
  • The police
  • Trade unions

The rapidly changing digital world creates great opportunities, but it also holds a number of challenges. When looking at issues like the potential for innovative companies, better governance on a stronger basis for decision-making, the shift of powers in the international system or cyber security, the interaction between data management skills and a strong analytical mindset is vital in all these cases. There is a great need for integrated disciplines – people who can ask the right questions based on an academic analysis, and search for answers in the huge and complex data sets we have available today. In this respect, the MSc in Social Data Science programme is very interesting because it combines a number of core academic disciplines within the social sciences, thus giving them partly an interdisciplinary profile and partly an ‘extra gear’ for data analysis. I have no doubt that the graduates will be in high demand in both the private and the public sectors.

Casper Klynge, Tech Ambassador of Denmark