MSc / PGDip
Artificial Intelligence for Healthcare
MSc: £9,588
PGDip: £7,188
Enrolment Fee: £560
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inteligencia artificial
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MSc / PGDip
Artificial Intelligence for Healthcare

Próxima Convocatória
October 2026
Matrículas abertas
Vagas limitadas
Icono 1500 horas

MSc: 1500 hours

Icono prácticas en empresa

Estágio opcional

Icono ONline

Online / Inglês

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Dupla titulação

60 ECTS

MSc: 60 ECTS

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Plano de empregabilidade

This MSc / PGDip Artificial Intelligence for Healthcare will provide a broad introduction to AI’s enormous potential and will prepare you to lead multidisciplinary teams that develop Artificial Intelligence projects in healthcare organisations and related industries. 

 

With this online MSc / PGDip you will gain a broad overview of the technical, regulatory, economic and ethical aspects needed to develop AI projects in the healthcare sector. You will learn basic concepts of programming and data processing, as well as the Artificial Intelligence models that can be applied to diagnosing and monitoring different pathologies. By the end of the course, you will have an understanding of the tools needed to implement AI projects and methodologies across the healthcare sector.

 

Characteristics of the MSc Applications of Artificial Intelligence for Healthcare

Videos and online classes

Audio visual study material

You will have access to many hours of audio visual materials, which are the essential teaching materials. Thus, you can study wherever and whenever you want.

Practical activities

Practical activities

During your journey, you will carry out around two weekly practical activities, which will be reviewed and evaluated by your specialist teachers.

Complementary material

Complementary material

Class summaries, articles to stay up-to-date… You will have everything you need to move forward on your journey.

Master class

Master class

You will learn from renowned experts in the sector thanks to our master classes, which you can watch as many times as you want.

Master’s degree final project

Postgraduate final project

At the end of your route, you will carry out a research project directed by one of our teachers on a topic of your interest.

O seu percurso no CEMP

Da primeira à última etapa do seu percurso, estaremos ao seu lado para ajudá-lo a tirar o máximo proveito da sua formação.

Matrícula e acesso ao campus

Com a matrícula, inicia o acesso ao campus virtual, à organização do plano formativo e a recursos adicionais, como técnicas de estudo e curso de inglês, que podem ser realizados antes ou em paralelo com o Master. 

Aulas online e acompanhamento 

Acesso a conteúdos digitais, sessões síncronas e apoio dos docentes ao longo do desenvolvimento do programa. 

Atividades práticas e avaliação contínua 

Exercícios e casos aplicados que permitem consolidar competências técnicas e validar a sua evolução ao longo do programa. 

Trabalho Final de Master 

Desenvolvimento de um projeto aplicado na área da Inteligência Artificial em Saúde, com acompanhamento académico especializado. 

Estágio opcional 

Até 300 horas de experiência profissional.  

Diploma CEMP + UCAV 

Após a conclusão do Master, poderá solicitar a emissão do diploma CEMP com acreditação da Universidad Católica de Ávila (UCAV), assegurando o enquadramento académico no Espaço Europeu de Ensino Superior. 

*ver condições de acreditação.

Candidatar-me ao Master  Candidatar-me ao Master 

Syllabus of the MSc / PGDip
Artificial Intelligence for Healthcare

Ao longo do programa, desenvolverá competências técnicas, estratégicas e regulamentares necessárias para planear, implementar e liderar projetos de Inteligência Artificial em contextos clínicos e organizacionais. A estrutura curricular foi concebida de forma progressiva, combinando fundamentos, aplicação prática e visão de implementação no setor da saúde. 

Module 1. The Background

 

 

  1. The fourth industrial revolution
  2. A brief history of the interaction between medicine and artificial intelligence
  3. What can we use AI algorithms for in the clinical setting?
  4. Learning systems: A mapping of the AI environment
  5. Health data: sources and characteristics
  6. Data Protection: GDPR
  7. Research and clinical trials
  8. Ethical implications
  9. 5Ps Medicine
  10. Value-based decision
  11. European/national/regional/regional strategy
  12. Expected impact of AI in the coming years
  13. Resource management success cases
  14. Health care success cases

Exam

Module 2. The technique

 

 

1. Rule-based expert systems. The predecessors of AI

2. Machine Learning: regression, classification and clustering models

3. Neural networks and deep learning

4. The learning paradigm. Feature selection and model optimisation

5. What is Python? Introduction. Python and data science. Installation and working environment

6. Getting started in Python (Theory) Data types, variables, operators, loops and other structures

7. Getting started in Python.(Practical) Data types, variables, operators, loops and other structures

8. Object orientation: classes and instances, attributes and methods. Working with libraries

9. Fundamental Python libraries for working with data: Numpy and Pandas

10. Introduction to AI in Python. Libraries and levels of abstraction

11. Data analysis in Python: Spicy, Matplotlib, Seaborn, statsmodels

12. Data structuring: data sets for training, validation and testing. Data augmentation

13. Machine Learning in Python: Scikit-learn and practical examples

14. Neural Networks in Pyhton: Pytorch, Tensorflow and Keras

Exam

Module 3. Applications of AI in healthcare

 

 

1. Types of data in health

2. Hospital Information Systems (HIS) and Electronic Health Records (EHR)

3. Image Management Systems (PACS and DICOM)

4. Data interoperability in healthcare. The FHIR standard

5. Text mining and Natural Language Processing (NLP)

6. Medical image analysis. U-Nets and GANs

7. Robotic Process Automation

8. Artificial Intelligence and Cloud Computing

9. Decision Support Systems: Diagnosis and Treatment

10. AI in Drug Discovery and personalised treatments

11. Management improvements

12. Patient interaction and telemedicine

Exam

Module 4. Implementation of AI projects in Healthcare

 

 

1. Framework evaluation Outcome-Action-Pair (OAP)

2. Life cycle of an IA project

3. Design and development

4. Validation

5. Monitoring and maintenance

6. Relevant actors IA Health

7. Bias, interpretability and fairness

8. Privacy and security

9. Regulatory environment

10. Implementing an AI strategy

11. Corporate intrapreneurship and cultural change

12. Project management

13. Public and private financing tools for innovative projects

Exam

Empresas parceiras

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O caminho para o seu futuro

Why enrol in our Postgraduate Certificate in Artificial Intelligence for Healthcare? Because in addition to having prestigious professors and a curriculum aimed at preventing student drop-out, we guide our students towards achieving their professional goals.

Learn more about the employability plan you'll benefit from the moment you sign up.

Perguntas Frequentes

What professional opportunities does the MSc Applications of Artificial Intelligence for Healthcare offer?

This MSc programme opens doors to diverse careers in healthcare and technology. Graduates can excel in healthcare data analysis, medical imaging, clinical decision support, and more. Prepare for exciting AI-driven healthcare careers!

How long does it take to obtain a MSs Applications of Artificial Intelligence for Healthcare?

Our MSc Applications of Artificial Intelligence for Healthcare has a total duration of 2250 hours . This is equivalent to 180 UK credits, the workload typically associated with an academic year. You can also choose our PGDip, which has no Major Project included and has a duration of 1500 hours (120 UK CAT).

What clinical laboratory equipment will you use?

You will only need a computer for this course. During your training ,you will also work with Python, one of the main programming languages.

What is the price of a MSc / PGDip Applications of Artificial Intelligence for Healthcare?

At CEMP, we offer  online  training programs that are fully adapted to the needs of each person, with tailored  payment instalments available worldwide , to make sure each student is able to complete all stages of their postgraduate course successfully. To find out more about fees and payment plans, contact us through the online form and one of our friendly and experienced team will be in touch.

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