Computer Science with Artificial Intelligence
University of Leicester
UCAS Code: G4G7 | Bachelor of Science (with Honours) - BSc (Hons)
University of Leicester
UCAS Code: G4G7 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
A level
This qualification is only acceptable when combined with other qualifications.
Pass relevant Diploma with a minimum of 45 credits at level 3, 30 of which must be at Distinction.
Accepted in combination with other qualifications.
This qualification is only acceptable when combined with other qualifications.
GCSE/National 4/National 5
GCSE Maths Grade 5/B required.
International Baccalaureate Diploma Programme
Minimum of 5 in SL Maths or 4 in HL Maths required if grade 5/B not held at GCSE. Applications & Interpretation and Analysis & Approaches both accepted.
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)
Must include Maths OR Ordinary Level 4 in Maths.
Pearson BTEC Level 3 National Diploma (first teaching from September 2016)
Accepted in combination with A-Level grade B. Some relevant subjects in IT, Maths, Science or Engineering should be studied within qualification profile. Please contact study@le.ac.uk regarding other combinations.
Pearson BTEC Level 3 National Extended Certificate (first teaching from September 2016)
Accepted in combination with A-Level grades BB. Please contact study@le.ac.uk regarding other qualification combinations.
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
BTEC must be in IT, Science or Engineering. Please contact study@le.ac.uk regarding eligibility of other BTEC subjects.
Scottish Advanced Higher
Scottish Higher
T Level
In Digital Production, Design and Development (with an Occupational Specialism in Software development technician) or Digital Business Services
ABB from two A-levels and the Welsh Baccalaureate Skills Challenge Certificate.
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
Artificial Intelligence is transforming work, health, entertainment and many other aspects of our lives. This course provides a broad range of technology, software and computing skills and real-world experience in Artificial Intelligence.
There is no doubt that Artificial Intelligence (AI) will have an enormous impact on our lives over the next five, ten or even fifty years. But how will we go from AI being an existing technology that is being used in some areas, to fulfilling its full potential to transform our lives for the better? This will be achieved by people who can:
Develop more powerful AI technologies and techniques.
Integrate AI into tools and technologies .
Make AI accessible to people from every culture, country and educational background.
Ensure that AI is used in a safe and ethical way to benefit us all.
Our course in Computer Science with Artificial Intelligence will provide you with the necessary skills, experience and passion to do any of these things, depending on your interests and career plans.
Learning how to use AI, or understanding how AI works is just the beginning. On this course you will learn how to understand the needs of users and design systems to meet these needs. You’ll learn to develop enterprise-scale systems to bring the power of technology and AI to the widest range of people. You’ll be taught by world-leading experts in AI who are, today, building AI systems that solve real-world problems.
This course will not only prepare you to work in AI and Data Science, it will also equip you with a broad range of transferable skills and exceptional experience in software development, computing, user interfaces and cloud computing, which will allow you to succeed in any industry.
Modules
For more information on this course and a full list of modules, visit the course information page on our website
Assessment methods
For more information on the methods of assessment on this course, visit the course information page on our website
The Uni
University of Leicester
School of Computing and Mathematical Sciences
What students say
We've crunched the numbers to see if the overall teaching satisfaction score here is high, medium or low compared to students studying this subject(s) at other universities.
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.
Computer science
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Artificial intelligence
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)
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.
Computer science
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
This is a newly-classified subject area for this kind of data, so we don’t currently have very much information to display or analyse yet. The subject is linked to important and growing computing industries, and over time we can expect more students to study them — there could be opportunities that open up for graduates in these subjects as the economy develops over the next few years.
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.
Computer science
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£27k
£42k
£40k
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.
£27k
£42k
£40k
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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Lower entry requirements
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Course location and department:
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Teaching Excellence Framework (TEF):
We've received this information from the Department for Education, via Ucas. This is how the university as a whole has been rated for its quality of teaching: gold silver or bronze. Note, not all universities have taken part in the 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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