Overview

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.

The official international Master's Degree in Health Data Science from Rovira i Virgili University 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.

Career

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

Programme Structure

Course structure:

The online teaching follows a model that includes synchronous and asynchronous activities, with a maximum of 30% synchronous activities per subject; e.g., in a subject of 3 ECTS credits, a maximum of 30% of the study load is synchronous.
Classes are organised over fifteen weeks, from Monday to Friday, between 2 p.m. and 7 p.m. (CET).
The online training uses Moodle, the university's Virtual Campus. It is an online learning environment adapted to the needs of e-learning models and allows for both synchronous and asynchronous activities.
For synchronous classes, the Microsoft Teams videoconferencing tool is used. Synchronous sessions are recorded and accessible from the Virtual Campus or Moodle

Key information

Duration

Part-time
- 24 months

Start dates & application deadlines

Starting 2025-09-30 00:00:00
- Apply before 2025-09-24 00:00:00

Language

English

Credits

120 ECTS

Delivered

Online

Disciplines

Health Sciences Health Informatics

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

People with a bachelor's degree or equivalent other than the above may apply for admission if they hold a master's or doctoral degree in bioinformatics, mathematics, statistics, physics, biomedical engineering, computer engineering or other related engineering fields; alternatively, they can accredit advanced knowledge in programming equivalent to 100 hours of training in general-purpose structured programming languages, or 50 hours of training in programming languages for use in data science.
Students must also provide proof that they have at least a B2 level in English. Candidates from English-speaking countries or with an English-speaking access qualification do not need to certify a B2 level. The master's degree committee may establish mechanisms for assessing the level of English through an interview or a level test.

Tuition Fee

To always see correct tuition fees

International

2912 EUR/year

Tuition Fee

Based on the tuition of 5824 EUR for the full programme during 24 months.
EU/EEA

1806 EUR/year

Tuition Fee

Based on the tuition of 3612 EUR for the full programme during 24 months.

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

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Scholarships Information

Below you will find Master's scholarship opportunities for Health Data Science.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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