- UAB Specialisation Diploma
- Code: 4305/6
- 6th edition
- Modality: Online
- Credits: 35 ECTS
- Start date: 15/09/2025
- Finish date: 31/07/2026
- Places: 15
- Orientation: Professional
- Price: 3535 €
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Special price 3182 €
Group of application:
- Teaching language: Spanish
- Location: On line
We are living through a revolution so profound that it may surpass the invention of the steam engine, the train, electricity, or mass production in the magnitude of the changes it will bring. This transition from the Fourth Industrial Era to the Fifth Industrial Era revolves around artificial intelligence (AI), robotics, and Big Data, and heralds a profound revolution that is already visible in the way we live and work, perhaps even in the way we see ourselves as humans. In Industry 5.0, we will see significant development in artificial intelligence, which will help achieve the goals of a people-centered, resilient, and sustainable society, where ethics must be at the heart of this fifth industrial revolution.
This revolution will also affect medicine, which is, in a way, in a moment of crisis. As a profession, despite the extraordinary advances in this field over the past four decades, we frequently see imprecise or poorly detailed diagnoses, or unnecessary tests and treatments that raise the costs of public health systems. Current technology and tools based on artificial intelligence and Big Data can greatly help address these issues.
The potential provided by leveraging large amounts of data is very attractive, as it, along with the ability to extract knowledge and learn through artificial intelligence and deep learning, can achieve great precision in diagnosis and prognosis. With these technological tools and decision-support aids, clinicians could focus more on patient care, which is perhaps one of the major problems in current medicine.
Likewise, with the development of systems based on Large Language Models (LLM), the potential to transform medical care and improve clinical decision support systems increases, with an increase in the accuracy of diagnostic models, in the evolution of diseases, or in treatment outcomes, and, above all, generating new perspectives in the approach to complex cases or those for which there isno prior experience on the part of the clinician.
However, this new technology and tools still come with significant challenges to investigate and work on, such as ethical issues and those related to the development of credibility situations in responses known as hallucinations. While all this has great potential, it is still in the optimization phase, and broader knowledge about its functioning, critical thinking, and close interdisciplinary collaboration between clinicians and engineers are required.
On the other hand, personalized medicine has created a new paradigm where few doctors have the appropriate training, and professionals involved in the healthcare environment need, first of all, the necessary knowledge to face a significant change in the way medicine is practiced. Secondly, these professionals need the specific knowledge that will allow them to address the generation and development of knowledge related to the technologies involved in this new paradigm and enable them to work in multidisciplinary teams between clinicians and engineers.
Health Research: Working in research groups in the health field where the analysis of big data and artificial intelligence provide significant value.
Research Project Management: Enhancing the skills needed to secure funding for health research projects that require advanced data analysis.
Multidisciplinary Collaboration: Participating in multidisciplinary work teams to apply methodologies based on big data and artificial intelligence in health studies and projects.
This revolution will also affect medicine, which is, in a way, in a moment of crisis. As a profession, despite the extraordinary advances in this field over the past four decades, we frequently see imprecise or poorly detailed diagnoses, or unnecessary tests and treatments that raise the costs of public health systems. Current technology and tools based on artificial intelligence and Big Data can greatly help address these issues.
The potential provided by leveraging large amounts of data is very attractive, as it, along with the ability to extract knowledge and learn through artificial intelligence and deep learning, can achieve great precision in diagnosis and prognosis. With these technological tools and decision-support aids, clinicians could focus more on patient care, which is perhaps one of the major problems in current medicine.
Likewise, with the development of systems based on Large Language Models (LLM), the potential to transform medical care and improve clinical decision support systems increases, with an increase in the accuracy of diagnostic models, in the evolution of diseases, or in treatment outcomes, and, above all, generating new perspectives in the approach to complex cases or those for which there isno prior experience on the part of the clinician.
However, this new technology and tools still come with significant challenges to investigate and work on, such as ethical issues and those related to the development of credibility situations in responses known as hallucinations. While all this has great potential, it is still in the optimization phase, and broader knowledge about its functioning, critical thinking, and close interdisciplinary collaboration between clinicians and engineers are required.
On the other hand, personalized medicine has created a new paradigm where few doctors have the appropriate training, and professionals involved in the healthcare environment need, first of all, the necessary knowledge to face a significant change in the way medicine is practiced. Secondly, these professionals need the specific knowledge that will allow them to address the generation and development of knowledge related to the technologies involved in this new paradigm and enable them to work in multidisciplinary teams between clinicians and engineers.
Career opportunities
The most notable career opportunities are:Health Research: Working in research groups in the health field where the analysis of big data and artificial intelligence provide significant value.
Research Project Management: Enhancing the skills needed to secure funding for health research projects that require advanced data analysis.
Multidisciplinary Collaboration: Participating in multidisciplinary work teams to apply methodologies based on big data and artificial intelligence in health studies and projects.
Scholarships and financial aid
Chek all the information on the possibilities for grants and scholarships in the page for UAB financial aids, grants and calls.
Coordinating centres
Instituto Universitario Fundación Parc Taulí
Departamento de Arquitectura de Computadores y Sistemas Operativos
Collaborating centres
Departamento de Ingeniería de la Información y de las Comunicaciones
Departamento de Microelectrónica y Sistemas Electrónicos
Departamento de Telecomunicación e Ingeniería de Sistemas
Departamento de Ciencias de la Computación
Contact
Secretaria técnica
Phone: 937458238
Additional information
https://www.tauli.cat/en/institut/docencia/postgrau/inteligencia-artificial-en-salud/