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The master's programme in Data-driven Health equips you with the skills to employ data to transform healthcare and improve people's health and health systems.

You will acquire technical skills in data processing, data mining and machine learning, combined with expertise in health systems and systems biology. After graduation, you face exciting career opportunities in a quickly expanding field. This is a new programme with the first students starting in August 2025.

Data-driven Health at KTH:

The master's programme in data-driven health provides expert knowledge on how data can be used to change and streamline healthcare and improve people's health.

The focus is on using health data from healthcare, self-produced data, community data and health data from other sources in the analysis. You will explore different ways of processing, storing, modelling and analysing data to put data-driven insights into a complex context. You will gain an understanding of the type of data that exists, how it is structured, and how to adapt it for effective analysis. Data management and data governance are also technical parts of the programme.

During your studies, you will work with real cases, for example, by analysing data on different diseases and looking at young people's mental health. You will also gain valuable insights into healthcare organisations to prepare you for your future career.

The master's programme offers plenty of opportunities to specialise through project courses and elective courses. Elective courses focus on imaging, distributed learning and advanced topics. Project courses allow you to work with faculty and clinicians on applied projects covering sports, physiology and health systems. During the first year, you take mandatory courses in Statistics, Machine Learning, Databases and Warehouses, Ethics and Socio-Cultural Perspectives on Technology. The second year is dedicated to project courses, advanced topics in different directions and the master's degree project.

Programme Overview:

The programme emphasises complementary skills such as problem-solving, teamwork, and project management, aligned with CDIO principles. You will have access to in-house cloud infrastructure, makerspaces and datasets, and most courses offer project assignments to complement traditional lectures. The programme is heavily focused on applying advanced data tools in actual practice. 

The programme complements technical skills with insights into legal, ethical and socio-cultural aspects of health data. The research at KTH complements the programme and cover all aspects of data-driven health, from semantic engineering to FAIR data management, to applied data analysis and data engineering, machine learning and artificial intelligence. The curriculum provides a highly interdisciplinary approach that enables students to acquire a unique and individualised expertise that appeals to many employers. 

This is a two year programme (120 ECTS credits) given in English. Graduates are awarded the degree of Master of Science. The programme is given mainly at the KTH Flemingsberg campus in Stockholm by the School of Engineering Sciences in Chemistry, Biotechnology and Health (at KTH).

Future and career:

The combination of technology and data with an emphasis on health, taught in the programme, provides an attractive profile for a professional career in the medical technology, pharmaceutical industry, medical services and even in the public sector (government, non-profit).

This area is expanding rapidly worldwide, providing graduates with career opportunities in various fields, such as engineering, analysis, data science, research, journalism and consultants. A degree from the programme will also open doors to an academic career and further doctoral studies.