The emergence of Big Data has revolutionised all fields of knowledge, including health. Indeed, the ever-increased digitisation of the medical records along with the advent of telemedicine (the latter driven by COVID-19 crisis), has increased the availability of patients’ medical data to an extent as never seen before. In addition, the increasing use of “omics” data is providing a huge amount of information that needs to be organised, analysed, and correlated with the clinical, laboratory, imaging, therapy-related, and biological data. Nonetheless, medical information, unlike others, is extremely heterogeneous and non-structured, as well as dynamic and influenced by the disease and therapies. And currently, there is a great “gap” in understanding of its potentials and exploitation by biomedical professionals and its meaning and value by today’s data scientists. Thus, the overall algorithms and tools developed are not optimal for processing medical data, being necessary to understand the entire data cycle to address the analytical and interpretation tasks with guarantees. This project plans to design an innovative master’s degree aiming at training a new generation of professionals able to manage and exploit Big Data in biomedicine, generating meaningful conclusions and, in the long run, impacting decision-making, improving patients’ diagnosis and prognosis and accelerating the development of more effective and precise treatments. To this end, a joint, multidisciplinary, high-quality, and inclusive master’s programme will be designed by a consortium composed of renowned and experienced EU partners. At the end of the project, all the academic, managerial, and financial features of this new master’s degree will be set up, aiming to implement the master’s degree into the EU Higher Education System and to generate, in the long term, a broad workforce able to satisfy a current unmet market need in healthcare.
The emergence of Big Data has revolutionised all fields of knowledge, including health. Indeed, the ever-increased digitisation of the medical records along with the advent of telemedicine (the latter driven by COVID-19 crisis), has increased the availability of patients’ medical data to an extent as never seen before. In addition, the increasing use of “omics” data is providing a huge amount of information that needs to be organised, analysed, and correlated with the clinical, laboratory, imaging, therapy-related, and biological data. Nonetheless, medical information, unlike others, is extremely heterogeneous and non-structured, as well as dynamic and influenced by the disease and therapies. And currently, there is a great “gap” in understanding of its potentials and exploitation by biomedical professionals and its meaning and value by today’s data scientists. Thus, the overall algorithms and tools developed are not optimal for processing medical data, being necessary to understand the entire data cycle to address the analytical and interpretation tasks with guarantees. This project plans to design an innovative master’s degree aiming at training a new generation of professionals able to manage and exploit Big Data in biomedicine, generating meaningful conclusions and, in the long run, impacting decision-making, improving patients’ diagnosis and prognosis and accelerating the development of more effective and precise treatments. To this end, a joint, multidisciplinary, high-quality, and inclusive master’s programme will be designed by a consortium composed of renowned and experienced EU partners. At the end of the project, all the academic, managerial, and financial features of this new master’s degree will be set up, aiming to implement the master’s degree into the EU Higher Education System and to generate, in the long term, a broad workforce able to satisfy a current unmet market need in healthcare.