- Flexible payment : Pay per module
- Next start date : Start immediately
- Fee per 15-credit module : £670
- Total credits : 120
Why CITY ST GEORGE'S
| Study with a University of London member who is: | |
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Top 40 in the UK and top 10 in London |
World Top 350 among the best universities |
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12th most competitive university in the UK |
5th best in London and 17th in UK for |
365 starts per year
Start immediately after admission
City St George's On-Demand online postgraduate programmes
complete each module?
On demand
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City St George's On-Demand online postgraduate programmes
I need to study ?
Self paced
No weekly study hours, study when you're able.
City St George's On-Demand online postgraduate programmes
during a module ?
Yes
You can instantly pause your studies and pick
them up when ready
City St George's On-Demand online postgraduate programmes
Yes
You can take a break and start your studies
again when ready without having to wait
City St George's On-Demand online postgraduate programmes
I can afford them ?
Yes
You can study in line with your budget,
taking each module as soon as you're able to pay for it.
City St George's On-Demand online postgraduate programmes
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Advance your computer science skills with a digital health specialism with the 100% online Postgraduate Diploma in Computer Science with Health Informatics.
Technology is transforming how organisations operate, from data-driven decision-making to AI-powered systems, including applications within healthcare such as electronic health records and digital diagnostics. This rapid digital transformation is creating strong demand for professionals with computing and data skills across industries.
This programme combines a broad computer science curriculum with selected specialist modules in health informatics. Three-quarters of the modules in the programme focus on core computer science, with the remaining content providing a foundation in concepts related to healthcare.
By studying the 100% online Postgraduate Diploma in Computer Science with Health Informatics at City St George’s, University of London, you will develop practical programming, artificial intelligence and data analytics skills alongside specialist knowledge of health informatics. Designed for graduates without a computing background, this programme provides a structured pathway into computer science careers, with the option to progress to the MSc in Computer Science with Health Informatics.
City St George’s combines over 120 years of excellence in science and technology education with a strong employability focus. Delivered 100% online and part-time, this programme allows you to balance study with professional and personal commitments while building in-demand computing expertise. With 365 start dates each year, you can begin your studies at a time that suits you.
Why study this Postgraduate Diploma in Computer Science with Health Informatics with City St George’s?
We deliver professionally focused degrees that help students develop practical, career-ready expertise. Study with a university committed to your future success.
Career-focused digital upskilling
This Postgraduate Diploma is designed for graduates looking to transition into computing or digital health roles. You will develop a strong foundation in computer science while building specialist knowledge in health data and digital healthcare systems, with the option to progress to the full MSc.
World-class academic reputation
Our commitment to academic excellence, sustainability and graduate employability places City St George’s among the top 350 universities globally, top 40 in the UK, and top 10 in London (QS World University Rankings 2024).
Strong graduate employability outcomes
We focus on developing practical technical skills aligned with industry demand, helping to place us 5th in London and 17th in the UK for employment outcomes (QS World University Rankings 2024).
Flexible online study
Study fully online with asynchronous teaching, allowing you to learn at your own pace and balance study with professional and personal commitments.
Flexible career pathways
This programme supports both career changers entering the field of computer science and professionals in healthcare or related sectors looking to build technical expertise and enhance their career progression opportunities.
Specialist digital health focus
Alongside core computer science topics, you will explore health informatics and statistical methods used to analyse health data.
Flexible payment options
Spread the cost of your qualification by paying per module, helping to make postgraduate study more financially manageable.
What you’ll learn
This programme develops a broad foundation in computer science while building specialist knowledge in health informatics.
You will develop your programming ability, computational thinking and problem-solving skills while gaining an understanding of how computer systems and software operate in real-world environments.
You will explore how technologies such as artificial intelligence and data analytics can be applied to real-world challenges across industries, including healthcare.
Through specialist modules, you will examine how health data is collected, analysed and used to improve healthcare delivery, and develop the statistical foundations needed to interpret health datasets.
Develop the skills to build computing solutions, including in digital healthcare contexts
This programme is designed to equip you with knowledge and skills that can be applied across computing and digital healthcare careers.
- Core computer science knowledge: Develop and synthesise subject knowledge across programming, algorithms, software development and computer systems.
- Programming and software development: Apply programming skills across multiple paradigms including declarative, imperative and object-oriented programming.
- Artificial intelligence and data analytics: Develop practical skills in key computing areas including AI and data analytics and apply them across different professional contexts including healthcare.
- Health informatics expertise: Understand how digital technologies and data systems support healthcare delivery, planning and research.
- Problem-solving and critical thinking: Formulate computing and programming problems and identify appropriate tools, techniques and approaches to solve them.
- Professional and ethical awareness: Embrace technical challenges as an opportunity for personal development, while applying professional standards in computing and health informatics.
Turn your skills into a high-impact digital career
This Postgraduate Diploma prepares you for careers in computer science and technology-driven industries, with additional knowledge that can be applied in healthcare and health-related sectors.
Depending on your interests and prior experience, you may pursue roles such as:
- Health Informatics Analyst (particularly within healthcare or public sector organisations)
- Data Analyst
- Software Developer
- AI or Machine Learning Specialist
- IT Support Analyst
- Digital Health Coordinator (within organisations working at the intersection of healthcare and technology)
The Postgraduate Diploma comprises eight modules, building on the foundations of the Certificate to develop a broader and deeper set of computing and health informatics skills. Alongside core modules in programming, web development and databases, you will explore artificial intelligence, big data analytics and the statistical methods used to interpret health data. The programme is structured so that your computing knowledge grows progressively, with each module building on what came before.
Credits earned here count towards the full MSc, so you can continue your studies when you are ready.
Frequently asked questions
The Postgraduate Diploma in Computer Science with Health Informatics is the natural next step if you have completed the Postgraduate Certificate or are looking for a more substantial qualification in computing and digital health. Across eight modules, you will develop a broader and deeper understanding of computer science while building specialist knowledge in health informatics, artificial intelligence and data analytics.
Studying 100% online and part-time, the programme fits around your professional and personal commitments. It is also a pathway to the full MSc: credits earned here count towards the master's degree, so you can continue your studies when you are ready.
Yes. This Postgraduate Diploma is designed for graduates from any discipline who want to develop computing and digital health expertise. The first module builds essential programming foundations and assumes no prior technical experience.
This is a computer science qualification with a component in health informatics. Most of the programme focuses on core computing skills, with selected modules exploring how these skills are applied within healthcare and health data environments.
The programme is delivered 100% online with asynchronous teaching, allowing you to study flexibly from anywhere.
The maximum registration period is three years, providing flexibility depending on your study pace.
You will receive academic support from module tutors, access to discussion forums, formative feedback opportunities and careers guidance through the university’s careers services.
Yes. The programme is designed both for graduates looking to transition into computer science and for professionals working in healthcare or related sectors who want to develop technical and data-driven skills.
Programme Modules
This foundation module underpins the complete MSc Computer Science programme and is designed for students who are inexperienced in computer programming. Explore procedural computer programming, data-structures, and algorithms, and learn how to solve problems using computer programmes.
Develop your knowledge of the theoretical and practical aspects of web technologies. Learn how to create web applications and about a wide range of technologies to develop an understanding of the web landscape with an emphasis on client-side technologies.
Building upon the programming knowledge and skills developed in Programming and Algorithms, this module introduces the concept of object-orientation and enables you to explore object-oriented programming via an object-oriented programming language. You will learn how to develop algorithms, and to solve problems using computer programs.
Explore how digital technologies and data are transforming healthcare systems around the world. You will examine how health information is collected, managed and used to support clinical decision-making, research and service improvement. The module introduces key topics such as electronic health records, health data governance and digital health infrastructure. You will develop an understanding of how informatics supports safer, more efficient healthcare delivery.
As an introduction to databases, you will learn to understand, explore, and build relational databases – the most common form in practice. You will also gain knowledge of non-relational databases, including the principal differences and use-cases compared to relational databases.
Become familiar with the key concepts of data analytics and big data. Learn about the sources of data, data mining, and what can be achieved by analysing that data, within a business, and other contexts. Alongside data analytics, you will learn about data visualisation techniques and tools.
Develop your knowledge in the principles of Artificial Intelligence (AI) and the problems that are appropriate for AI solutions. Consider how knowledge can be represented, and how that knowledge can be manipulated and searched. You will also learn about artificial neural networks, which can learn from patterns in known data sets to perform tasks on unseen data.
Develop the mathematical and statistical foundations needed to analyse health data. You will explore key statistical concepts, probability and quantitative methods used in healthcare research and decision-making. The module focuses on applying statistical techniques to real-world health datasets. By the end of the module, you will be able to interpret data and understand how statistical evidence supports healthcare insights.
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