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. The Applied Data Science programme is offered by University of Gothenburg.
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 (e.g. data about customers) can offer crucial competitive advantages.
People with knowledge and skills in Data Science are therefore in high demand, in Gothenburg 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.
Thus, providing training in the management and analysis of large-scale data is important in preparing students for further study and research within higher education, research institutes and industry.
The Master's programme in Applied Data Science is designed to be accessible to students with a wide range of Bachelor's degrees, and a Master's level education in Applied Data Science will be of benefit to students with backgrounds in many different areas who recognise 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 these can be used, and practical skills in their application.
This two-year programme includes the following compulsory courses that provide a core within Data Science:
- Introduction to Data Science
- Thinking and Working Mathematically
- Statistical Methods for Applied Data Science
- Applied Machine Learning
- Techniques for Large-scale Data
- Master’s Thesis in Data Science
- 24 months
Start dates & application deadlines
- Deadline passed
DisciplinesData Science & Big Data View 9 other Masters in Data Science & Big Data in Sweden
- A Bachelor s degree of 180 credits including an independent project (degree project) of at least 15 credits or equivalent.
- At least 15 credits from programming or equivalent. 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.
International13683 EUR/yearTuition FeeBased on the original amount of 27366 EUR for the full programme and a duration of 24 months.
EU/EEAFreeTuition FeeBased on the original amount of 0 EUR for the full programme and a duration of 24 months.
- Application fee: 900 SEK
- Full programme cost: 286 000 SEK
- First payment: 71 500 SEK
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.