Inter-university Master's Degree in Biomedical Data Science (in extinction) - 2nd edition

The volume of big data is growing faster in healthcare than in any other sector and promises unprecedented opportunities for developing precision medicine. As a result, it is forecast that in the coming years, there will be an increasing workforce demand for biomedical data scientists equipped with the necessary interdisciplinary mind-set to handle health-related big data and create value from it.

The official master's programme in Biomedical Data Science has been designed to anticipate this demand and mainly aims to provide the interdisciplinary training needed to process, manage, analyse, and model large-scale biomedical data.

Promoted by Bioinformatics Barcelona (BIB), the master's programme is a joint-collective effort between seven public universities (Universitat Rovira i Virgili as coordinating university, Universitat Politènica de Catalunya, Universitat de Barcelona, Universitat Autònoma de Barcelona, Universitat de Girona, Universitat de Lleida, Universitat de Vic), hospitals across the Catalan health system; and companies from the biomedical and/or pharma sectors. This partnership will ensure that the programme is of the very highest quality.

Furthermore, an annual Summer School will be organized to bring renowned experts together from a wide range of academic, hospital and industrial partners, so they can present their research and latest developments in the field.

AMGEN promotes the Inter-university master’s degree in Biomedical Data Science:

Vision

• Our vision is to build an interdisciplinary domain-dependent technological programme leveraging computational and information sciences to gain insights and develop new methods and strategies to solve problems relevant to biomedicine.

• The programme also has a marked international element, and will be participated in by universities, companies, hospitals, and unique scientific and technical infrastructures.

• The principles of open science and open education will be promoted and open resources – data, tools, and software – will be prioritized.

• Interdisciplinary competencies will be built on innovation, internationalization, employability and social engagement.