Artificial Intelligence in Healthcare
Entry requirements
A level
Access to HE Diploma
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
UCAS Tariff
About this course
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. You will learn in a clinical and data setting to develop the biomedical, physiological, and social understanding and knowledge.
**KEY FEATURES OF THE COURSE**
1. EMPLOYABILITY: Combining two subjects boosts your employability and gives you the opportunity to develop knowledge and expertise in two subject areas, making you a more versatile graduate
2. SPECIALIST FACILITIES: Throughout your degree you will learn in a modern, flexible and supportive environment with access to specialist facilities
3. FUTURE PROOF LEARNING: With AI being at the forefront of many industries, learn how it will shape the future within the healthcare system
4. EXPERT STAFF: Learn from our expert academic staff that includes leading scientists in their field who incorporate the latest findings and up-to-date knowledge to their teaching
**HOW YOU’LL LEARN:**
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.
**YOUR CAREER:**
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.
Tuition fees
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The Uni
University of Derby
Department of Computing and Mathematics
What students say
How do students rate their degree experience?
The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.
Healthcare science (non-specific)
Sorry, no information to show
This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Artificial intelligence
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This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.
Healthcare science (non-specific)
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Artificial intelligence
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Artificial intelligence is a very specialist subject taken by less than 100 people a year at the moment, so there is little reliable information available on graduate prospects - bear that in mind when you review the stats above. Graduates taking this type of subject are more likely than other computing graduates to go into further research. However, if you want to find out more specifically about the potential graduate outcomes of a specific course, it's a good idea to go on open days and talk to tutors about what previous graduates have gone on to do.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Healthcare science (non-specific)
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£28k
£30k
£32k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
Artificial intelligence
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£23k
£25k
£31k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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Teaching Excellence Framework (TEF):
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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).
This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.
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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.
You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.
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Post-six month graduation stats:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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