Skip to main content
School of Mathematics and Computer Science

Artificial Intelligence and Robotics

BSc (Hons) Full-time 3 years

Robotics and Artificial Intelligence (AI) fuelled by the rise in computer processing power, the profusion of data, and the development of techniques such as ‘deep learning’ is undergoing a major transformation.

Robotics and Artificial Intelligence (AI) fuelled by the rise in computer processing power, the profusion of data, and the development of techniques such as ‘deep learning’ is undergoing a major transformation.

  • Institute Code W75
  • UCAS Code GH76
  • Entry Requirements View
  • Fees View
  • Course Specifications View
  • Start Date(s) 21 September 2020
  • Award BSc (Hons)
  • Study Mode Full-time
  • Course Length Full-time (3 years)
  • Campus Location Wolverhampton City Campus
  • School School of Mathematics and Computer Science

Why choose this course?

Robotics and Artificial Intelligence (AI) fuelled by the rise in computer processing power, the profusion of data, and the development of techniques such as ‘deep learning’ is undergoing a major transformation. AI-enabled systems are growing beyond being the workhorses of industrial shop floors, and beginning to assume the roles of personal assistants, delivery vehicles, surgical assistants, exoskeletons, driverless vehicles, and unmanned aerial vehicles (UAVs), among many others.

Under the Government initiative, AI is being used in all areas of healthcare to help with diagnosis of serious illnesses, generating personalised treatment plans, and finding patterns in medical imagery to aid medical industries to classify problems. This course will also cover problems within the medical industry and how to solve them using AI and various Machine Learning techniques.

This course brings together these two areas of Robotics and Artificial Intelligence, and offers conceptual grounding in intelligent systems, and the chance to apply theoretical knowledge in a practical setting along with working with real industrial projects.

Course Modules

Potential Career Paths

The transferable skills such as problem identification, analysis, modelling, solution developing and evaluation gained in this course will prepare you for a range of careers. The most common fields where employment can be found will be in industries developing intelligent solutions in the form of hardware or software within manufacturing, healthcare, transport, energy, defence, research and more. Graduate roles could include:-

  • robotics design specialist;
  • software engineer/ developer;
  • embedded systems developer;
  • intelligent systems architect;
  • intelligence analyst in a range of sectors such as finance;
  • and teaching/lecturing.
  • You may also go on to further study or to work with our research experts for your PhD.

Additional Information

Everything you need to know about this course!

The course is taught by experienced academics, who are deeply involved in research and have experience of collaborating with industry experts. These academics are also able to transfer their knowledge and skills to the students. The course also provides the opportunity for students to work with industry on some modules so that theoretical underpinning is enhanced with real-life experience.

Within AI and Robotics, the University of Wolverhampton has invested heavily in new Deep Learning servers, ground/air programmable vehicles, emerging technology and new infrastructure to find innovative solutions to modern problems.

A placement can be undertaken anywhere; local or national for example. During a placement, you will be doing similar work to a normal employee of the organisation giving you a unique insight into your chosen profession or sector, the opportunity to acquire crucial personal skills and also the opportunity to build a network of useful contacts.

The team at The Workplace constantly search for new placement opportunities but if you find an opportunity that interests you or you have been successful in securing one yourself, contact them for further information and support. Students choosing to undertake a placement will gain (Sandwich) on their degree classification.

This course will enable you to demonstrate a knowledge and understanding of the essential concepts, principles, theories and practices relating to AI and Robotics such as embedded systems, machine learning, wireless communication and big data.

You will learn to apply the appropriate tools and methodologies to the design, implementation and evaluation of software systems on a variety of platforms and environments.

In addition you will be given the opportunity to develop a range of transferable skills in such areas as problem solving, communication, project management, working individually and in teams as well as self-management and the ability to gather, synthesise, evaluate and reflect on information from relevant sources.

You will develop a range of personal, organisational and professional skills needed for continuing professional development in the computing sector in a world-wide context.

Location Mode Fee Year
Home/EU Full-time £9250 per year 2020-21
International Full-time £12250 per year 2020-21

The University is committed to a transparent fee structure, with no hidden costs, to help you make an informed decision. This includes information on what is included in the fee and how fees are calculated and reviewed

2020 Entry

Use the UCAS Tariff calculator to check your qualifications and points

Students must usually have studied for a minimum of two years post GCSE level. However, we will consider applications from mature students who do not have two years of post-16 study, where they have relevant work experience. Please see http://wlv.ac.uk/mature for further information.

If you've got other qualifications or relevant experience, please contact The Gateway for further advice before applying.

International entry requirements and application guidance can be found at http://www.wlv.ac.uk/international/apply

English language requirements also apply

Tuition Fees Loan Home and EU National):

Most students will be able to apply for loans to help pay for these. Depending on where you live, if you have been to University previously and your circumstances, grants, bursaries and scholarships might also be available. Visit student finance on the gov.uk website to find out more.

EU students applying for the 2020/21 academic year:

The UK Government has confirmed that EU students will continue to be eligible for 'home fee status' for entry in September 2020, and will continue to have access to financial support available via student loans for the duration of their course. For more information take a look at the gov.uk website to find out more.

Self-funding:

If you don’t want to take out a loan to pay your fees or if you aren’t eligible to receive a loan, you might want to take advantage of the University’s scheme to pay by instalments: see How to Pay. For more information please contact the Gateway.


Your employer, embassy or organisation can pay for your Tuition fees:

If your employer, embassy or organisation agrees to pay all or part of your tuition fees; the University will refer to them as your sponsor and will invoice them for the appropriate amount.

We must receive notification of sponsorship in writing as soon as possible, and before enrolment, confirming that the sponsor will pay your tuition fees.


Financial Hardship:

Students can apply to the Dennis Turner Opportunity Fund. for help with course related costs however this cannot be used for fees or to cover general living costs.


Bursaries and Scholarships:

In addition the University also offers a range of Bursaries and Scholarships packages



You can find more information on the University’s Funding, cost, fee and support pages.

Telephone

01902 32 22 22

Email

enquiries@wlv.ac.uk

Online

Order a prospectus

How We Compare

Find out how our course is rated on Discover Uni, the official website for comparing UK higher education courses

Full-time Course