Master's in Computer Science: Applied Data Science

Malmo University is a public university in Malmo, Sweden. It was founded in 1998 and is one of the youngest universities in Sweden. The university has over 25,000 students and 3,000 staff members. It offers a wide range of undergraduate, graduate, and doctoral programs in the fields of humanities, social sciences, natural sciences, and law. Malmo University is ranked #701-800 in the QS World University Rankings 2024. It is also a member of the European University Association.

We are living through a time of immense digital transformation. In order to benefit society, science and businesses, we need to develop the right tools to extract the full value from the ever-increasing growth of digital data. This interdisciplinary two-year master’s programme will provide you with 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. Data Science is an emerging and multidisciplinary field that requires knowledge and skills in subjects such as computer science, mathematics and communication technologies. During this programme, you will get a comprehensive understanding of the fundamental aspects of data modelling, computational techniques and statistical analysis. You will apply these skills to real-world problems and build a portfolio of projects demonstrating solutions to current business and societal challenges. You will have the opportunity to conduct original and innovative research, working with industry partners and academia during the capstone project course and thesis work. The programme is built around the international research environments at the Department of Computer Science and Media Technology. The teaching staff includes experts in artificial intelligence, data processing and analysis, software development for big data and cloud architectures, modern software methodologies, and data visualisation.