Study field
Social sciences
Degree
Master of Social Sciences
Credits
120 ECTS credits
Duration
2 years
Language
English
Study type
Degree studies
Form of study
Contact teaching
Location
Lappeenranta
When to apply
Rolling admission
1 October 2026–31 March 2027 at 15:00 (UTC+3)
Fees for non-EU/EEA students
EUR 15,000/academic year for students from outside the EU/EEA. No tuition fees for EU/EEA students.
Additional info
Application fee of EUR 100 for students from outside the EU/EEA.
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The growth in digital technologies, especially artificial intelligence, offers rich opportunities in accessing a wide array of data. Solving today’s and tomorrow’s problems is no longer a question of whether one has data. Rather it is a question of how best to use this exponential growth in data to make bold but evidence-based decisions. 

The Master’s Programme in Digital Social Science provides you with the skills and competence to do so through a social science approach in the use of data. A social science approach entails a critical evaluation of a variety of data through different theoretical perspectives about society and with empirical rigour. This approach allows you to bridge the gap between raw data and real-world impact. Raw data can show patterns in how people act. Social science theories can help explain why there are patterns in how people act.

In this programme, we offer you a curriculum that combines training in empirical methods with exposure to core social science theories to enable you to skilfully use different types of data, credibly interpret empirical results, and confidently translate them into decisions and insights. 

Who is this programme for?

The programme is for you if you have: 

  • a social science, business, or liberal arts degree;
  • a curiosity to learn how to analyse different types of data;
  • an interest in learning about different theoretical perspectives about society.
     
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What will you learn in the programme?

Students who have completed this master's programme are able to:

  • use different methods to collect, process and analyse various types of data;
  • understand contemporary economic, societal and political challenges from different social science theoretical perspectives;
  • apply social science theories to interpret empirical results from data analysis to make informed and evidence-based decisions and insights.

These skills will enable you to take on roles in the private and public sectors that require you to analyse data, interpret results uncovered from such data, and translate such results into organisationally relevant insights.
 

Degree structure and studies

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The Master's Programme in Digital Social Science is a two-year programme. It leads to the degree of Master of Social Sciences, M.Soc.Sc., which is 120 ECTS credits.

The programme includes core, advanced specialisation, language and multidisciplinary studies on critical systems of the society as well as a master’s thesis. Read more in this academic year’s curriculum

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Career prospects

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The Master’s Programme in Digital Social Science offers you skills for positions in the private and public sectors that require you to analyse data, interpret results uncovered from such data, and translating such results into organisationally relevant insights.
 

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After graduation, you can find job opportunities in fields such as data analysis, business analysis, consulting, and policy work.

 

 

See also