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2 Data Analytics MSc Degree Programs in Sweden


Lund University
MSc in Data Analytics and Business Economics
- Lund, Sweden
MSc
Full time
1 year
On-Campus
English
Graduates from the MSc in Data Analytics and Business Economics are at a competitive advantage as organizations are looking for people who are not only fluent in the language of data but who also understand how to apply that data in the business-economic context. This layered skillset enables them to communicate effectively with clients, programmers, managers, data scientists, and policymakers to drive strategic decision-making.


Lund University
MSc in Social Scientific Data Analysis
- Lund, Sweden
MSc
Full time
2 years
On-Campus
English
The Master of Science in Social Scientific Data Analysis will prepare you to become a professional researcher/social scientific data analyst with a specialisation on the research process and research methodology. Coursework involves extensive and intensive training in the process of conducting social research, research design, methodology, qualitative and quantitative methods (students are taught to programme using state-of-the-art statistical software ’R’), as well as applied theory, theory building, and a range of interdisciplinary theories. As a graduate, you will be well suited for two complementary job markets: as data analysts, researchers, and research project managers within the private and public spheres, and civil society, as well as PhD candidateships within academia.
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Learn more about Data Analytics MSc degree programs in Sweden
Data Analytics degree programs at the MSc level in Sweden offer an exciting blend of theoretical knowledge and practical application, focusing on the growing need for data-driven decision-making in various sectors. With Sweden’s strong emphasis on research and innovation, you'll find an environment ripe for exploration and learning.
Through courses in statistical analysis, machine learning, and data visualization, you’ll gain essential skills for extracting insights from complex datasets. The curriculum encourages collaboration through industry-linked projects, allowing you to apply what you learn in real-world settings. As students engage with diverse teams, they build confidence and enhance problem-solving capabilities.
Many learners choose to focus on predictive modeling or data mining techniques, preparing them for roles such as data analyst, business intelligence specialist, or data scientist. Graduates often find opportunities in sectors ranging from finance to healthcare, where their skills are valued internationally. Sweden’s commitment to sustainability and technology-focused industries further enhances the relevance of these programs, fostering growth that extends globally.