Get degree ideas using our A level explorer tool

Computing (Artificial Intelligence and Robotics)

Entry requirements


A level

B,B,B-A,B,B

UCAS Tariff

120

About this course


Course option

2years

Full-time | 2024

Subjects

Artificial intelligence

Computing and information technology

Home of the two-year degree, the University of Buckingham, based in the South East of England, is ranked 6th for Student Satisfaction in the UK (National Student Survey, 2020).
We are proudly independent and not-for-profit, and offer courses in Allied Health, Business, Computing, Education, Humanities, Law, Medicine, Psychology and Security and Intelligence. We are one of the few universities in the UK that offer September and January start dates for almost all of our courses.
Based in Buckingham on a riverside campus, we are only 20 minutes’ from Milton Keynes central station and a short drive from Bicester, Aylesbury, Banbury and Northampton. There is free parking on-site and we are within easy reach of London and Oxford.
Our award-winning small class tutorials ensure every student is known by name and supported throughout their studies, including by dedicated personal tutors.
As pioneers of the two-year degree, we offer a condensed version of the traditional three-year degree, meaning you can gain a full honours degree and complete your studies a whole year earlier. Alternatively, you can complete both your undergraduate and master’s degree with us in just three years: saving you time and money.

Home of the two-year degree, the University of Buckingham, based in the South East of England, is ranked 6th for Student Satisfaction in the UK (National Student Survey, 2020).

We are proudly independent and not-for-profit, and offer courses in Allied Health, Business, Computing, Education, Humanities, Law, Medicine, Psychology and Security and Intelligence. We are one of the few universities in the UK that offer September and January start dates for almost all of our courses.

Based in Buckingham on a riverside campus, we are only 20 minutes’ from Milton Keynes central station and a short drive from Bicester, Aylesbury, Banbury and Northampton. There is free parking on-site and we are within easy reach of London and Oxford.

Our award-winning small class tutorials ensure every student is known by name and supported throughout their studies, including by dedicated personal tutors.
As pioneers of the two-year degree, we offer a condensed version of the traditional three-year degree, meaning you can gain a full honours degree and complete your studies a whole year earlier. Alternatively, you can complete both your undergraduate and master’s degree with us in just three years: saving you time and money.

Artificial Intelligence (AI) and robotics are increasingly being deployed to solve complex problems and to automate business processes. Thus, knowledge and understanding of algorithms that drive AI and robotics systems, as well as practical skills to implement such systems, are much sought-after within many sectors of the economy. Students who are keen to develop their professional and technical skills in developing autonomous solutions for rewarding career opportunities in a range of industry sectors will find this course highly relevant and stimulating.

Students on this two-year undergraduate degree programme will be trained on fundamental theories and concepts, key techniques, approaches, methodologies and tools of software development, artificial intelligence and robotics. In particular, this pathway is designed to provide students with the practical skills required to implement AI, machine learning and robotics based autonomous digital and technology solutions for various sectors such as automobile, agriculture, education, healthcare, law enforcement, public services, transport, and utilities.

Modules

Teaching is carried out through a combination of lectures supported by seminars, practical workshops and tutorials. It is enhanced by virtual learning environments, online / stand-alone computer-based teaching, learning tools and software packages.

A key feature of the Buckingham teaching method is the use of small tutorial groups which provide the most effective means of ensuring that the students benefit from the academic expertise at their disposal. It is also the philosophy of the University’s faculty to be available to students outside the scheduled tutorial times and to encourage good working relationships between staff and students.

Computing programmes have supervised practical classes in computer labs in which you can apply and practise the techniques you have learnt in the lectures. These practical sessions are usually two or three hours long. You will also be expected to study on your own, using the library for reading and research, and computer laboratories to improve your practical skills.

Each student has a designated supervisor for the Individual Project. Weekly supervision meetings are offered throughout the Project.

Assessment methods

The first year of this two-year programme introduces students to essential theories and concepts of computing, programming and software development that underpin modern computer science. These theories and concepts build the fundamentals necessary to undertake highly specialised modules covering AI, Machine Learning, Computer Vision and Robotics that follow in the second year. All modules include practical work to apply knowledge and understanding to solve problems.

The second year focusses on equipping students with specialised skills and sound knowledge that would enable them to pursue a rewarding career in the rapidly growing field of AI, robotics and autonomous systems. Students will learn concepts and techniques in AI, computer vision and robotics, alongside software project management and cloud computing, which are some of the most sought-after skills in the IT sector today.

All students undertake a substantial ‘Individual Project’ and a collaborative ‘Grand Challenge’ project where they get the opportunity to apply their knowledge and skills to develop an innovative solution to a real-life complex problem. There are several opportunities to work in teams enabling students to develop leadership and collaboration skills.

A range of assessment techniques are utilised throughout the degree programme to give students the opportunity to demonstrate achievement of the learning outcomes. Individual and group coursework, presentations, portfolios, quizzes, projects, and exams are the key assessments. The assessment of individual modules within each course varies according to the subject. Please check module information for more details.

Tuition fees

Select where you currently live to see what you'll pay:

Channel Islands
£27,750
for the whole course
England
£27,750
for the whole course
EU
£44,400
for the whole course
International
£44,400
for the whole course
Northern Ireland
£27,750
for the whole course
Republic of Ireland
£44,400
for the whole course
Scotland
£27,750
for the whole course
Wales
£27,750
for the whole course

The Uni


Course location:

University of Buckingham

Department:

Computing

Read full university profile

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?

62%
UK students
38%
International students
81%
Male students
19%
Female students
85%
2:1 or above
25%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

D
A
C

Information technology

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?

62%
UK students
38%
International students
81%
Male students
19%
Female students
85%
2:1 or above
25%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

D
A
C

After graduation


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.

Explore these similar courses...

Share this page

This is what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.

Have a question about this info? Learn more here

This is the percentage of applicants to this course who received an offer last year, through Ucas.

Have a question about this info? Learn more here

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.

Have a question about this info? Learn more here

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.

Have a question about this info? Learn more here

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.

Have a question about this info? Learn more here

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.

Have a question about this info? Learn more here

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