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MSc / PGDip Artificial Intelligence for Healthcare

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Price: MSc: £9,588 + £560 Enrolment Fee
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Prices

MSc: £9,588
PGDip: £7,188
Enrolment Fee: £560

BAC Accredited

Accredited as a top-quality online, distance, and blended learning.

Financial Aid

Our programme is tailored to help eligible individuals.

100 % distance

Flexible part – time distance learning.

Optional Internships

Opportunity for 60 to 300 hours of internships.

1 year programme

MSc: 180 CAT (90 ECTS)
PGDip: 120 CAT (60 ECTS)

Next Start: October 2025
Postgraduate in Artificial Intelligence for Healthcare
MSc: £9,588 + £560 Enrolment Fee
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Programme Description

This Postgraduate programme is designed to equip you with the necessary skills to lead interdisciplinary teams in healthcare AI projects. You will gain expertise in technical, regulatory, economic, and ethical aspects. Learn essential programming skills, explore AI models for pathology diagnosis, and master AI implementation tools in healthcare organisations. With our programme, you can elevate your career in the evolving healthcare landscape.

Who is this for?

Entry requirement: a bachelor’s degree or equivalent.

This Postgraduate in Artificial Intelligence is ideally suited to those who have knowledge of programming languages such as Python and want to develop a professional future within:

  • Data management and clinical operations.
  • Health Data Analytics.
  • Algorithmic solutions.
  • Image processing.
  • Practice support tools.
  • Creation of treatment protocols.
  • Pharmaceutical compound development.
  • AI Consultancies.
  • Pharmacogenomics and Precision Medicine.
  • Healthtech.
  • Health Information Technology.
  • Medical Device development.

Syllabus

As your journey progresses, you will discover different modules which will help you, step by step, to reach your final goal.

  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

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

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

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

Student Reviews

Trustpilot
Temba Tseriwa
I am very impressed and encouraged by the teachers of the course, who are very busy and willing to motivate me, as they use
different modes of communication to help me in my learning, especially in an online environment. This is my first online experience, and I'm enjoying it. What I appreciate the most are the online classes and the quizzes and activities at the end of each chapter that made me think and search for the answers, which allowed me to learn more. I also like the flexibility and the course materials, especially the lecture slides.
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Hanna Grzelczak
I am impressed by the amount of knowledge applied in the programme in a very concise way. There are many ways to develop my
skills and knowledge. Especially the webinars given by Prof. Alarcón are what I am hooked on. They are very logical, concise, and helpful in organising the learning process. CEMP allows me to develop my skills to the fullest.
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Amr T. M. Saeb
I enrolled in the programme because of my interest in bioinformatics, the reputation and excellence of the institution, research opportunities that enhance employability and
open diverse career opportunities in academia, industry or research institutions, networking and collaboration, and making significant contributions to the field. Until now, I have had a wonderful experience with CEMP, and I hope it will continue at this level.
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Szczepan Kaluzny
The programme is excellent. I am delighted that I can access the course at any time and moment. I find the tests and module
booklets very helpful for mastering the subject. Dr. Alarcón is an outstanding lecturer, and he has provided me with a lot of assistance. I believe CEMP offers the right programme with all the components that I wanted to learn.
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Ross Montgomery
I have really enjoyed the course so far - there are good lecturers and well-presented slides. The last few weeks have been more challenging trying to keep up with the workload in between work as well.
Mylene Lim
I chose CEMP as I have heard good reviews about the centre, plus I like how they have tutors who check in regularly with
your progress. I hope after this master’s that I can understand skin science and cosmetic care product labelling better, and maybe be able to formulate my own range of products one day.
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Hayley Borthwick
The teachers are always on hand and the programme is easy to navigate around a full-time job, especially good for a mature student like me.
Krisztina Kakucs
The 9-month journey was intense, filled with captivating seminars. Claudia Soto, an incredible lecturer, made each session enjoyable. Embracing the weekly challenges of learning
something new is rewarding. I highly recommend this postgraduate to those eager to delve deep into the cosmetic field.
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Aleksandra Goleva
I love the flexibility and structure of the programme, as I can study in my free time and need to attend university offline. I
especially like that there are so many quizzes after each lesson, and our teacher Claudia Soto is so friendly, understanding and helpful.
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Mayuri Pema
I opted for CEMP's flexible, self-paced distance learning. Positive peer feedback and captivating content impressed me. My experience is fantastic with strong support from approachable teachers. I value their teaching and examination methods.
Jenti Yan Qing Lof
My program experience is excellent. Lessons and tasks are clear, and I appreciate the ability to track my progress. Flexibility in accessing lessons and
the post-chapter tests are highlights, allowing for self-paced learning and comprehensive understanding. This program aligns perfectly with my goals.
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Samuel Audu
My experience has been truly exceptional. The tutors are highly knowledgeable and experienced, delivering lessons in an outstanding manner.
We are pleased to accompany you in your path to fulfill your professional objectives
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Payment Options

Invest in your future and spread the cost with our flexible payment options. Secure your place on our programme today with a minimal deposit.

Educational Partners

We share our journey with companies who hold same values as us in order to give our students greater opportunities for growth, both professionally and personally.

Accreditations

Our BAC and University of Chichester (UK) accreditation ensures exceptional education. BAC endorses our online and blended learning, while University of Chichester accredits our MSc’s programmes, boosting employability and CATS credits recognition

Choose your path with our Exclusive Programme

  • 100% flexible distance learning
  • Flexible Payment Options
  • Financial Aid Available
  • Level 7 qualification
  • Recognised Accreditations
  • MSc: 180 CAT (90 ECTS)
    PGDip: 120 CAT (60 ECTS)
  • Optional Internships
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