Objectives and competences
Technological advances and the digitization of the healthcare environment have led to an increase in the volume of data in recent years, from a wide variety of sources such as sensors, medical devices, clinical records and wearables.
This wealth of massive data in the field of health care requires professionals capable of extracting information that can be applied to improve the clinical care of patients and health care users. Data Science is one of the disciplines that responds to this demand, which, according to some, is growing by more than 50% every year. This percentage is even higher in the case of data scientists specializing in health.
Basic information
| Type | Master's degree |
|---|---|
| Faculty or school | Faculty of Mathematics and Computer Science |
| Branch of knowledge |
|
| Mode of delivery |
|
| Credits | 120 |
| Length of course | 2 academic years |
| Coordination | PETIA IVANOVA RADEVA |
| Open pre-enrolment | No |
| Open enrolment | No |
| Lead to doctoral studies | Yes |
| Admission for applicants not holding a degree qualification | No |
| Main university information | Master's degree course homepage |
| Interuniversity | Yes |
| Main university | Universitat Rovira i Virgili |
| Universities |
|
| Bridging courses | No |
Objectives and competences
Objectives
The official international Master's Degree in Health Data Science (MHEDAS) is designed to meet this expected demand and has the following main objectives:
To train data scientists to manage and analyse large volumes of health data, and to provide solutions with an impact on the improvement of health care.
To provide the interdisciplinary training necessary to identify and valorise the opportunities of data science applied to health challenges.
To train entrepreneurs in the field of digital health in Europe who can create the necessary tools to manage, analyse and extract information from big data in the clinical environment and identify business opportunities.
Competences
Access and admission
Applicant profile and access requirements
Recommended applicant profile
Access requirements and conditions
General requirementsIn accordance with Article 16 of Royal Decree 1393/2007, of 29 October, students wishing to be admitted to a university master's degree must hold one of the following qualifications:
- Official Spanish university degree.
- A degree issued by a higher education institution within the European Higher Education Area framework that authorizes the holder to access university master's degree courses in the country of issue.
- A qualification issued by an institution outside the framework of the European Higher Education Area. In this case, applicants must request homologation of the degree to its equivalent official Spanish university qualification or obtain express approval from the University of Barcelona, which will conduct a study of equivalence to ensure that the degree is of a comparable level to an official Spanish university qualification and that it grants access to university master's degree study in the country of issue. Admission shall not, in any case, imply that prior qualifications have been recognized as equivalent to a Spanish master's degree and does not confer recognition for any purposes other than that of admission to the master's degree course.
Pre-enrolment
Calendar
Required documentation
Selection criteria
Notification
Enrolment
As a general rule, at the UB you will be required to enrol online. Remember that you can lose your place if you do not enrol on the day you have been assigned
- Documents required for enrolment
- Procedure to formalize enrolment
- Grants and financial aid (in Catalan)
- Economic information (in Catalan)
Course curriculum
Subjects and course plans
Distribution of credits
| Type | ECTS |
|---|---|
| Compulsory | 67.5 |
| Optional | 28.5 |
| Compulsory placements | 15 |
| Compulsory final project | 9 |
| TOTAL | 120 |
List of subjects
Previous years
Placements
Career opportunities
What can you work on ?
- Entrepreneur in the field of digital health
- Data scientist in pharmaceutical companies or the bio sector
- Data-driven project manager
- Biomedical data scientist in research centres/groups or in hospitals
- Head of medical informatics in a hospital
- Advisor on data analysis in health research institutes
- Advisor for public organisations on public health management