Master’s Degree in Health Data Science
Technological progress in recent years in health sciences and the digitalisation of the healthcare environment has generated huge avalanches of data (big data) of different types which come from the most diverse gadgets, sensors, medical devices, case reports, personal mobile phones, etc. This data is diverse in terms of its type and structure, and it represents an important and necessary technical challenge in terms of how to exploit it. This progress makes the urgent need to train experts who are capable of extracting meaning from this health data and provide it with value for healthcare institutions even more evident.
This new Master’s degree programme, which will have a duration of one academic year (60 ECTS) trains professionals to gain the ability to analyse healthcare data for research and management purposes using the most advanced techniques (data mining, business analytics, machine learning, deep learning, etc.). Also, different types of statistical software will be used (R, SQL, Phyton, Power BI, Hadoop, NoSQL, etc.) to provide solutions and help in intelligent decision-making based on the data and improve health among the population.
The Master’s degree programme will provide students with the necessary knowledge that is most in demand within the working field of research and healthcare management. The aim is to particularly look in-depth into advanced statistics applied to health, public health, epidemiology and healthcare management based on data. Additionally, most of the subjects in this Master’s degree use software that is specific to data science, including a high level of programming content.
In short, this Master’s degree will turn students into leaders for the fourth industrial revolution in the healthcare sector.

