Robotics & Artificial Intelligence BSc (Hons)
UCAS code: GH76
Intelligent systems are having a huge impact. Household appliances are more helpful and robots are venturing into space. Help create the future of AI on a robotics degree awarded initial accreditation by BCS, The Chartered Institute for IT (subject to re-approval).
Robotics and AI have come a long way since the work of Alan Turing. They pave the way for extraordinary opportunities in the modern world. As we develop increasingly sophisticated artificial systems, we’ll see transformations in how we live, work, travel and learn.
During our robotics and artificial intelligence course, we’ll teach you how to unleash the potential of robotics, AI, automation and more. Could you make a difference to the way virtual reality is used in medicine? Do you want to test the boundaries between human intelligence and machine intelligence?
On our robotics and AI degree you’ll develop specialist expertise in the fundamentals of intelligent systems. Programming, network architecture and software design will all become second nature to you.
After graduation, you’ll be prepared for a career working with intelligent systems ranging from domestic appliances and search engines to robots exploring Mars.
Sandwich year option available
Studying abroad option available
Work placement opportunity
What you'll study
The first year of your robotics and AI degree will be a balance of computing and fundamental mathematics. You’ll pick up the fundamentals of analysis, programming and computer architecture, while developing your skills in calculus. There will also be an introduction to problem-solving applications including graph theory. Finally, we’ll give you an introduction to potential career options to help you select your path for Years 2 and 3.
Computer Systems Architecture and Networks
Module code: CIS1701
Module code: MAT1001
Foundations of Computer Science
Module code: CIS1700
Professional Practice 1
Module code: CIS1704
Module code: CIS1702
Module code: CIS1703
We’ll delve into further detail on operating systems, algorithms, data structures and robotics. You’ll learn about the theory and techniques in different artificial intelligence approaches and explore the aspects of data analysis and its implications on intelligence systems. We’ll give you more information on improving your employability and the skills you’ll need in the workplace. At the end of Year 2 you’ll have the option of taking a 12-month industrial placement.
Applied Industrial Automation
Module code: CIS2721
Applied Machine Learning
Module code: CIS2720
Control Systems and Instrument Engineering
Module code: CIS2724
Foundations of Robotics and Artificial Intelligence
Module code: CIS2719
Knowledge Representation and Reasoning
Module code: CIS2709
Professional Practice 2
Module code: CIS2712
In your final year you’ll master autonomous robotic systems and artificial intelligence. We’ll show you the latest developments in this exciting emerging area and establish how you can make your mark. You might choose to conduct in-depth analysis into Smart Devices computing, adaptive intelligence, robotic systems, VR, or games and computer simulation for your final project. Build your practical experience and confidence before graduating to your chosen career.
Advanced Robotics and Artificial Intelligence
Module code: CIS3419
Autonomous Secure Systems and Smart Devices
Module code: CIS3418
Module code: CIS3421
Module code: CIS3417
Research and Development Project
Module code: CIS3425
How you'll study
The programme is delivered through a combination of lectures, student-led seminars, workshops, group tutorials, practicals and technology enhanced learning. Classes are highly interactive, with the practical application of concepts a key factor, including cases drawn from real-life.
You will also have the opportunity to develop your employability profile through a work placement.
How you'll be assessed
A variety of assessment methods will be used on this degree including formal examinations, lab practicals and project reports.
Throughout the programme, you will also be assessed using coursework, worksheets, in-module tests, example sheets, problem-solving exercises and presentations.
Who will be teaching you
You will be taught by staff who are passionate about student learning and development. The programme team are specialists in computing and active researchers in areas including artificial intelligence, machine learning, intelligent systems, mobile computing and distributed systems. Academic staff are regular contributors to conferences and journals, engaging with the wider business and academic environment in disseminating knowledge and delivering impact.
Typical offer 112-120 UCAS Tariff points, for which no specific subjects are required, plus GCSE Mathematics at Grade C or Grade 4 or above (or equivalent).
Please note, for all programmes in the Department of Computer Science, a level 2 numeracy qualification is not considered as equivalent to GCSE Grade C or Grade 4 in Mathematics.
|BTEC Extended Diploma (or combination of BTEC QCF qualifications)||Distinction, Merit, Merit (DMM).|
|T Level||Overall grade of Merit.|
|International Baccalaureate (IB)||We are happy to accept IB qualifications which achieve the required number of UCAS Tariff points.|
|Access to Higher Education Diploma||45 credits at Level 3, for example 15 credits at Distinction and 30 credits at Merit or 24 credits at Distinction and 21 credits at Merit. The required total can be attained from various credit combinations.|
Please note, the above examples may differ from actual offers made. A combination of A Level and BTEC awards may also be accepted.
If you have a minimum of two A Levels (or equivalent), there is no maximum number of qualifications that we will accept UCAS points from. This includes additional qualifications such as Extended Project Qualification (EPQ), AS Levels that haven't been continued to A Level, and General Studies AS or A Level awards.
English language requirements
International students require IELTS 6.0, with a score no lower than 5.5 in each individual component, or an equivalent English language qualification.
If your current level of English is half a band, one band, or one-and-a-half bands lower, either overall or in one or two elements, you may want to consider our Pre-Sessional English course.
How to apply
Should you accept an offer of a place to study with us and formally enrol as a student, you will be subject to the provisions of the regulations, rules, codes, conditions and policies which apply to our students. These are available at www.edgehill.ac.uk/studentterms.
If you join a full time undergraduate degree at Edge Hill University, we will guarantee you the offer of a room in our halls of residence for the first year of your course.Discover our accommodation
The Department of Computer Science is based in the state-of-the-art £13million Tech Hub. This purpose-built development offers highly contemporary suites of outstanding facilities for Computer Science and Engineering students. Our modern computing and engineering laboratories are equipped with comprehensive test and measurement equipment, high-specification computers, high-resolution screens and the latest hardware and software.
A four-screen CAVE (Computer Augmented Virtual Environment) provides a super immersive 3D virtual environment, enabling users to immerse themselves in a virtual room and experience real life scenarios in 4K resolution. There are also specialist laboratories for networking and games programming, in addition to a specialist research laboratory, open access laboratory, a Harvard style lecture theatre, and ‘The Hatchery’, a working space for new business ideas.
Where you'll study
Learning resources include digital oscilloscopes, signal generators, robots and a robotics simulator, wired and wireless networking hardware, graphics software, web development tools, software development environments, big data servers, eye trackers, giant 3D interactive teaching screens, and other specialist software required for studying forensics and internet security techniques.
£77 per credit
for 360 credits
EU/EEA and Swiss students who have settled or pre-settled status under the EU Settlement Scheme, as well as Irish nationals, may be eligible for the UK tuition fee rate.
Subject to eligibility, UK students joining this course can apply for a Tuition Fee Loan from the Government to cover the full cost of tuition fees. UK students enrolling on the course may also be eligible to apply for additional funding to help with living costs.
Please view the relevant Money Matters guide for comprehensive information about the financial support available to eligible UK students.
EU/EEA and Swiss students who have settled or pre-settled status under the EU Settlement Scheme may be eligible to apply for financial support. Irish nationals can ordinarily apply to Student Universal Support Ireland (SUSI). If you are an EU student who does not have settled or pre-settled status, or are an international student from a non-EU country, please see our international student finance pages.
Your future career
The robotics and intelligent systems industry is already well established, but the potential to grow is enormous. As technology moves forward, our graduates will be working on innovative solutions to problems we face today and in the future.
Equipped with the know-how needed to build your career, you could be working on anything from domestic and entertainment robots, to those in agriculture, supply chain management, medical, or even in space, land or sea.
Potential job roles that are well suited to graduates of our robotics and AI degree include Robotic Engineer, Machine Learning Engineer, Research and Design Engineer, Business Intelligence Developer, and Computer Engineer. And no matter what field you choose to start your career in, you’ll be equipped with sought after transferable skills like problem solving, statistical analysis, and data visualisation.
Subject to re-approval, the programme has received initial accreditation from BCS, The Chartered Institute for IT, for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional. Initial accreditation is granted to new programmes which are yet to have a graduating cohort. Successfully completing an accredited honours degree is the first step to full BCS membership and to being awarded chartered status.
Every effort has been made to ensure the accuracy of this information, however our courses are subject to ongoing review and development. Changing circumstances may necessitate alteration to, or the cancellation of, courses.
Changes may be necessary to comply with the requirements of professional bodies, revisions to subject benchmarks statements, to keep courses updated and contemporary, or as a result of student feedback. We reserve the right to make variations if we consider such action to be necessary or in the best interests of students.
Track changes to this course
Change of Modules - 29 September 2022
CIS1700 Foundations of Computer Science (20 credits), CIS1701 Computer Systems Architecture and Networks (20 credits), CIS1702 Programming 1 (20 credits), CIS1703 Programming 2 (20 credits) and CIS1704 Professional Practice 1 (20 credits) replace CIS1107 Foundations of Computer Science (20 credits), CIS1109 Digital World: Computer Architecture and Networks (20 credits), CIS1111 Programming: Concepts to Construction 1 (20 credits), CIS1112 Programming: Concepts to Construction 2 (20 credits) and MAT1000 Discrete Mathematics and Combinatorics (20 credits) as compulsory modules in Year 1.
CIS2709 Knowledge Representation and Reasoning (20 credits), CIS2712 Professional Practice 2 (20 credits), CIS2719 Foundations of Robotics and Artificial Intelligence (20 credits), CIS2720 Applied Machine Learning (20 credits), CIS2721 Applied Industrial Automation (20 credits) and CIS2724 Control Systems and Instrument Engineering (20 credits) replace CIS2149 Object-Oriented Programming (20 credits), CIS2158 Software Engineering (20 credits), CIS2161 Employability (20 credits), CIS2171 Foundations in Robotics and Artificial Intelligence (20 credits), CIS2172 Applied Industrial Automation (20 credits) and CIS2173 Knowledge Representation and Reasoning (20 credits) as compulsory modules in Year 2.
CIS3417 Intelligent Systems (20 credits), CIS3418 Autonomous Secure Systems and Smart Devices (20 credits), CIS3419 Advanced Robotics and Artificial Intelligence (20 credits), CIS3421 Embedded Systems (20 credits) and CIS3425 Research and Development Project (40 credits) replace CIS3137 Advanced Robotics and Artificial Intelligence (20 credits), CIS3138 Autonomous Secure Systems and Smart Devices (20 credits), CIS3140 Research and Development Project (40 credits), CIS3146 Embedded Systems (20 credits) and CIS3161 Research and Development Methods (20 credits) as compulsory modules in Year 3.
The above changes take effect for September 2023 entry.
Change of Modules - 22 January 2021
MAT1000 Discrete Mathematics and Combinatorics (20 credits) and MAT1001 Differential Calculus (20 credits) replace SUG1021 Mathematical Proof and Logic (20 credits) and SUG1023 Understanding Continuous Functions (20 credits) as compulsory modules in Year 1.