Aston University, Birmingham
UCAS Code: GH76 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
A level
ABB including grade A in Maths: Standard offer. BBB including grade B in Maths: If the student is also presenting either Core Maths or Extended Project Qualification (EPQ) grade B. BBC including grade B in Maths: Contextual offer (more details https://www2.aston.ac.uk/study/undergraduate/contextual-offer).
Access to HE Diploma
including at least 15 credits at Level 3 in Mathematics at Distinction.
GCSE/National 4/National 5
GCSE English Language or Literature and GCSE Mathematics at grade C/4.
International Baccalaureate Diploma Programme
achieving 6, 5, 5 at Higher Level, including grade 6 in Mathematics.
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
Plus an additional A-Level Mathematics at grade B. For other BTEC combinations please see Aston's web pages.
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
**Overview**
Study Artificial Intelligence and Robotics at Aston University and be at the forefront of cutting edge science and engineering. On this programme you will not only develop a practical and technical skillset, but you'll also understand the theory of artificial intelligence and it's applications. Taught by world-leading experts within the field, in outstanding facilities, you will graduate with a wealth of knowledge and be fully prepared for an exciting career in the digital industry.
During this course you will learn, collaborate and flourish through project based learning with students in other digital technology subject areas. This approach of learning mimics the real-life working world, where your career prospects will be enriched by working alongside people with different skill sets, view points and approaches. You will be able to tailor your learning throughout the four years and select your specialisms based on your own interests. This programme cuts across many modern digital areas such as machine learning, computer science, software engineering, robotics engineering, autonomous robotics and data science.
**Assessment**
You will be assessed through a range of methods to ensure gather a thorough view of your understandings. We assess students on this programme with online quizzes, lab and practical assessments, reports and coursework, teamwork presentations, projects, research proposals and a small amount of exams.
**Key course benefits**
- You will benefit from learning 'power skills' and collaborating with other students to ensure you are ready for the working world upon graduation
- This is an exciting new course, at the forefront of digital innovation
- We provide our artificial intelligence and robotics students with a brand-new high spec laptop to keep
- Internationally recognised for research
- Aston University was awarded gold, the highest possible rating, for teaching excellence framework (TEF 2023)
Tuition fees
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The Uni
Aston University, Birmingham
School of Computer Science and Digital Technologies
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.
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.
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.
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.
£36k
£30k
£43k
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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