16 Data Science and Big Data Degree Programs in Sweden

This interdisciplinary two-year master’s programme will provide you with an understanding of the state-of-the-art methods and algorithms of data science through hands-on experience with the latest tools and systems in the industry. After graduation, you will be qualified to work in a range of positions in data-centred projects as well as pursue PhD studies in data science.

This Master in Applied Economics and Data Analysis programme in economics continues to build upon what you have learned before by focusing on applications of theories and econometric tools. After a foundation semester containing microeconomics, macroeconomics, mathematics, and econometrics you will embark upon a whole semester consisting of full-time modules on current topics in economics such as environmental economics and transportation economics.

Do you want to shape the future of IT? Do you want an exciting and fulfilling career that influences, directs, and supports the global IT industry? If you want the solid educational background that makes this a reality, then our Master’s Programme (One Year) in Informatics – Data-Driven IT Management is the programme for you. In this programme, you will develop knowledge to shape the future of IT.

The MSc Biostatistics and Data Science offers a unique combination of Biostatistics and Data Science. Students with backgrounds in Mathematics, Statistics, Computer Science, or related disciplines are provided with the skills to solve problems in Biology, Medicine, and Public Health.

This programme teaches methods for analysis, processing and transmission of large-scale data and signals, using tools from machine learning, signal processing, and information and communication theory. Choose among three specialisations: Images and Vision, Data Science, and Connectivity. Project work is offered in collaboration with tech companies.

Data Science is the collective name for various kinds of methods that are used to analyze large quantities of complex data, also known as big data. Data science provides critical support to decision-makers in many professions, allowing them to make decisions based on information specific to their particular circumstances.

Data Science is the collective name for various kinds of methods that are used to analyse large quantities of complex data, also known as big data. Data science provides critical support to decision-makers in many professions, allowing them to make decisions based on information specific to their particular circumstances.

The MSc Data-driven Health trains future leaders at the intersection of health and data science. You will gain technical skills in data processing and machine learning, and expertise in health systems and systems biology. Graduates are equipped to transform vast health data into actionable insights.

The programme is intended for those interested in data, statistics, and life sciences. We provide you with the proficiency needed to work with biostatistics both nationally and internationally. You will learn about statistical methods, models, and underlying theories, how to design studies, analyze and interpret data, and program in R. After receiving your degree, you will have practical experience, and good opportunities for employment or further studies at the third-cycle level.

The Master's Programme in Biostatistics and Data Science is a comprehensive program designed to equip students with the knowledge, skills, and expertise necessary to excel in the fields of biostatistics and data science within the context of healthcare, biomedical research, and public health. The program integrates principles of statistics, data analysis, and computational techniques to address complex problems in health-related fields.

Despite the immense potential of Big Data, many companies are blind to the value of the data they create. It is time for that to change - and our Data Science programme equips you with the skills to drive this change. You will be able to provide important insights into business processes and discover opportunities to reduce costs and increase efficiency. Analyze and make decisions that will lead companies to its maximum growth.

The sheer amount of data that is being produced each and every day is redefining our world: according to IBM, 90 percent of all current data has been created in the last two years alone. The collection and evaluation of this data can transform behaviours, business models, markets and every imaginable organisational structure. The Data Science Program at Dalarna University prepares you to be at the centre of this transformation working within private companies, public organisations and research institutions.

The program focuses on how to draw smart conclusions from a large amount of data to make well-informed decisions. In today's society, data is generated with great variety, in enormous amounts and at high speed. This data is becoming increasingly complex. We are constantly connected with computers and smartphones, we are surrounded by cameras and sensors that monitor and measure.

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.

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.