University of Huddersfield
UCAS Code: C041 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
A level
Access to HE Diploma
or above.
GCSE/National 4/National 5
In addition, you must have GCSE Maths at grade 4 or above, or grade C, or above in the previous grading scheme.
64 UCAS tariff points from International Baccalaureate qualifications.
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
T Level
on core.
UCAS Tariff
from a combination of Level 3 qualifications.
About this course
This course has alternative study modes. Contact the university to find out how the information below might vary.
This programme is not available to international students. Instead, international students should apply for our international foundation programmes delivered by our International Study Centre on campus. For more information please visit International Study Centre (https://www.hud.ac.uk/international/international-study-centre/).
Our integrated foundation degrees are for those of you who possess the capability to pursue a degree but do not have the pre-requisite qualifications to directly apply to your desired course. The duration of the foundation element is one year, and, if you successfully pass, you will automatically progress on to the degree.
You may have heard of the ‘fourth industrial revolution’; AI is a fundamental technology that enables systems to transform our everyday lives.
Our Computer Science with Artificial Intelligence course is designed, therefore, to equip you with the necessary skills to be at the forefront of this technological revolution.
The course has been developed to focus on practical skills underpinned by technical theory. You’ll also specialise your knowledge around various AI themes, including robotics, knowledge graphs, and deep learning.
**Why Study Computer Science with Artificial Intelligence with Foundation Year BSc(Hons) at University of Huddersfield?**
In your second year, you’ll follow a core computing programme to give you a broad understanding of the subject, developing skills in programming and mathematics.
From your third year onwards, you’ll take several specialist AI modules, covering symbolic, sub-symbolic and statistical AI and their applications in natural language processing, speech, and image recognition. You also have the option to secure an industry placement in your fourth year.
Teaching you how to build intelligent systems, our course will help you gain the confidence to take the first step towards a potential career in the UK AI industry.
Research plays an important role in informing all our teaching and learning activities. Our academic staff are active in research that applies Artificial Intelligence methods to solve key societal changes in areas such as healthcare, transportation, and smart cities.
As a graduate of this course, you may consider employment in a wide range of sectors including retail, engineering, construction, environmental, finance, and electronics industries.
Ready to learn more about AI computer science? If you’re keen to pursue a STEM based career, this course could provide the foundation, helping you develop skills in relation to machine learning, software development, programming and more. Studying AI could boost your career opportunities and open doors to careers with substantial earning potential, enabling you to shape the life you want in the future.
**Professional Bodies**
At Huddersfield, you’ll study the Global Professional Award alongside your degree† so that you gain valuable qualities and experiences that could help you to get the career you want, no matter what your field of study is.
†full-time, undergraduate first degrees with a minimum duration of three years. This does not include postgraduate, foundation, top-up, accelerates or apprenticeship degrees.
**Why Huddersfield?**
Huddersfield’s vibrant and friendly campus is a great place from which to study, while the town itself offers lots to see and do, with good transport links in and around the area.
Modules
Year 1 modules include:
• Communication and Research
• Foundation Mathematics
• Foundations of Computer Science
• Computational Thinking.
To see the full range of modules and descriptions, please visit our website. A link to this course can be found at the bottom of the page in the ‘Course contact details’ section.
Assessment methods
You’ll be taught through a combination of lectures, tutorials, seminars, workshops, and practical sessions.
Assessment is varied and includes primarily coursework, quizzes, in-class tests, presentations, and demonstrations. There are opportunities for group working, in addition to individual assessments.
Your module specification documents will provide full details of the assessment criteria applying to the modules in your course.
Tuition fees
Select where you currently live to see what you'll pay:
Extra funding
Please see our website for more information - http://www.hud.ac.uk/undergraduate/fees-and-finance/undergraduate-scholarships
The Uni
University of Huddersfield
Department of Computer Science (CEI)
What students say
We've crunched the numbers to see if overall student satisfaction 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.
£22k
£28k
£30k
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.
£22k
£28k
£30k
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.
Explore these similar courses...
This is what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.
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This is the percentage of applicants to this course who received an offer last year, through Ucas.
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This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.
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Course location and department:
This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.
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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.
Have a question about this info? Learn more here
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.
Have a question about this info? Learn more here
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
Have a question about this info? Learn more here
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?
Have a question about this info? Learn more here