Data science is concerned with extracting meaning from large volumes of data. It is a field that has grown rapidly in recent years as a result of the increasing availability of large data sets and the opportunities and challenges that they present. Central topics within data science include data mining, machine learning, databases, and the application of data science methods in natural sciences, life sciences, business, humanities, and social sciences, as well as in industry and society.
Training in the management and analysis of large-scale data
Data science is having a big impact on industry. For some companies, being able to handle and analyse massive data sets is central to their business model. Even for other companies, being able to extract information from data (for example, data about customers) can offer crucial competitive advantages. People with knowledge and skills in data science are therefore in high demand, in Gothenburg, in Sweden, and internationally. Similarly, within scientific research, data-intensive scientific discovery is increasingly important in many areas, and researchers need to be able to handle and analyse massive data sets.
Welcoming students with backgrounds in many different areas
The Applied Data Science programme of the University of Gothenburg is designed to be accessible to students with a wide range of bachelor’s degrees, and a master’s education in applied data science will be of benefit to students with backgrounds in many different areas who recognize that being able to work effectively with large data sets will be important in their future careers. Some previous programming experience is required, and the programme builds on this. The programme gives students an overview of the techniques and technologies that are relevant to data science, an appreciation of when and how they can be used, and practical skills for their application.
Since we welcome students with various backgrounds you can help us by downloading and filling in the following form, to help us assess the prerequisites for the program. The form also contains room for your motivation letter. Please submit the form together with your transcripts and other documents in the application system.
- Data Science
- Python for Data Scientists
- Applied Mathematical Thinking
- Statistical Methods for Data Science
- Applied Machine Learning
- Techniques for Large-Scale Data
- 24 months
Start dates & application deadlines
- Apply before , International
DisciplinesInformatics & Information Sciences Computer Sciences Data Science & Big Data View 16 other Masters in Data Science & Big Data in Sweden
We are not aware of any academic requirements for this programme.
- A Bachelor's degree of 180 credits including an independent project (degree project) of at least 15 credits or equivalent.
- 7.5 credits from courses in programming in a general-purpose programming language or equivalent, and 7.5 credits mathematics or statistics.
- Applicants must prove their knowledge of English: English 6/English B from Swedish Upper Secondary School or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.
- Personal letter
- Grades from previous higher education
International14372 EUR/yearTuition FeeBased on the tuition of 28744 EUR for the full programme during 24 months.
EU/EEAFreeTuition FeeBased on the tuition of 0 EUR for the full programme during 24 months.
- Full education cost: 292,000 SEK
- No fees are charged for EU and EEA citizens, Swedish residence permit holders and exchange students.
Living costs for Göteborg
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.
Updated in the last 9 months
Check the official programme website for potential updates.