Artificial Intelligence in Healthcare

Why study Artificial Intelligence in Healthcare?

Artificial intelligence (AI) is the construction of artificial systems that have intelligent behaviour. You will be equipped to use leading-edge science and data to contribute to improving digital transformation in healthcare.

Modern health services have been transformed by e-referrals, the NHS app, and Covid 19 risk stratification. This course puts human-centred design, agility, and a solutions-focused approach at the heart of your learning.

You will consider patient care, diagnosis, treatment, and pharma links within the context of both a clinical and an AI environment. In a clinical and data setting, you will learn to develop biomedical, physiological, and social understanding and knowledge. You will also develop the digital, clinical, and data skills to ensure you can contribute to the digital transformation which will be at the heart of healthcare of the future. 

This course will position you at the cutting edge of this graduate job market. You will graduate with the skills to tackle some of the biggest challenges in the study of human health and machine behaviour, whilst applying your knowledge to offer future-focused solutions.

You will study a range of topics that include the fundamentals of mathematics and programming, the application of AI tools, contemporary issues and ethical considerations of AI tools alongside modules focused on healthcare.

Please note that our modules are subject to change - we review the content of our courses regularly, making changes where necessary to improve your experience and graduate prospects.

You’ll learn in different ways, including lectures, seminars, tutorials, practical sessions and team working. On the Individual Project module, you’ll be encouraged to use and apply research and innovation tools and approaches in a practical context.  
 
You will learn from lecturers and tutors who are carrying out research designed to offer fresh perspectives on issues that are significant at every stage of life as well as those who develop and apply the latest AI tools in domains ranging from health to manufacturing. Your lecturers bring their latest thinking to your studies. And, in some cases, you’ll have opportunities to get involved in research projects yourself.

How you are assessed

A variety of assessment methods are used. Some modules are assessed through coursework only, others by a combination of:

• Coursework
• Portfolios
• Presentations
• Examinations
• Case studies
• Teamwork projects
• Computer testing and examinations 

2024 entry

These are the typical qualification requirements for September 2024 entry. Contextual offers may apply to students who meet certain criteria.

English language requirements

IELTS: 6.0 (with at least 5.5 in each skills area)

2024/25

Further information about our fees and support you may be entitled to.

You will graduate with the skills to tackle some of the biggest challenges in the study of human health and machine behaviour, whilst applying your knowledge to offer future-focused solutions. This course will position you at the cutting edge of this graduate job market. You will graduate with the skills, knowledge and expertise to maximise the opportunities that this new technology will provide.

Careers and Employment Service

Our Careers and Employment Service can help you boost your employment skills by connecting you with employers for work placements, part-time jobs, and volunteering. They can also offer guidance on career options, CV writing, or starting your own business.

Contact us

If you need any more information from us, eg on courses, accommodation, applying, car parking, fees or funding, please contact us and we will do everything we can to help you.

Additional information about your studies

Teaching hours

Like most universities, we operate extended teaching hours at the University of Derby, so contact time with your lecturers and tutors could be anytime between 9am and 9pm. Your timetable will usually be available on the website 24 hours after enrolment on to your course.

Please note: Our courses are refreshed and updated on a regular basis. If you are thinking about transferring onto this course (into the second year for example), you should contact the programme leader for the relevant course information as modules may vary from those shown on this page.

Minimum numbers

Please note that this course is subject to minimum numbers in order to run.