- Flexible payment : Pay per module
- Next start date : Start immediately
- Fee per 15-credit module : £670
- Total credits : 180
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
Study in your own time as it suits you
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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Develop strong technical and analytical skills for careers in computer science, with the opportunity to apply them in digital healthcare contexts, with the 100% online MSc 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. You will study core topics including programming, artificial intelligence, cyber security, data analytics and human computer interaction. Alongside these, dedicated modules explore how data and digital systems are applied within healthcare settings, from electronic health records to digital diagnostics and health analytics.
By studying the 100% online MSc Computer Science with Health Informatics at City St George’s, University of London, you will develop practical programming, artificial intelligence, cyber security 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 develop specialist knowledge in health data and digital healthcare systems.
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 MSc 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 MSc 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, analytics and digital healthcare systems.
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, health analytics and AI applications in healthcare.
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 master’s 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, cyber security 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, while exploring ethical, privacy and regulatory considerations in digital health environments.
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, cyber security and data analytics: Develop practical skills in key computing areas including AI, cyber security 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: Evaluate the social, ethical and legal implications of digital technologies while applying professional standards in computing and health data environments.
Turn your skills into a high-impact digital career
This MSc 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 Specialist (particularly within healthcare or public sector organisations)
- Data Analyst
- Software Developer
- AI or Machine Learning Specialist
- Cyber Security Analyst
- Digital Health Consultant (within organisations working at the intersection of healthcare and technology)
The programme includes a strong core of computer science modules alongside specialist topics in health informatics.
Frequently asked questions
Yes. This MSc 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. Three-quarters of the modules in the programme focus on core computing skills, with the remaining modules introducing fundamental topics related to 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 five 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.
Learn both the theoretical and practical knowledge and skills involved in Human Computer Interaction (HCI). This module provides the essential knowledge for understanding users of interactive systems and helps you to design usable systems applying a user-centred design approach. The design and evaluation techniques delivered are widely applied in industry.
The internet connects systems to systems and customers to systems. It can also connect criminals to systems, allowing them to steal or misuse valuable information. Learn about cyber security and the variety of techniques used to protect information systems against cybercrimes.
Examine how artificial intelligence is transforming healthcare technologies and medical research. You will explore AI applications such as predictive analytics, diagnostic support and personalised medicine. The module considers both the opportunities and challenges of using AI in healthcare environments, including ethical and regulatory considerations. By the end of the module, you will understand how AI tools can support improved healthcare outcomes.
Learn how health data can be analysed and visualised to support clinical and organisational decision-making. You will explore analytical methods used to interpret healthcare datasets and identify patterns or trends. The module also introduces techniques for presenting complex data through clear and meaningful visualisations. By the end of the module, you will be able to communicate health insights effectively to support evidence-based healthcare decisions.
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