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).

Book an open day Apply now Contact us Download course leaflet

Overview

Course length:	3 years full-time Typically 4.5 years part-time
Start dates:	September 2025
Location:	Edge Hill University
Example offers:	BBC-BBB (A Level) or DMM (BTEC) View full entry criteria
Subject(s):	Computer Science
Faculty:	Arts and Sciences
Department:	Computer Science

Students operate a robot in the Tech Hub.

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. After graduating with our BSc (Hons) Robotics & Artificial Intelligence degree you could be working on the newest emerging technologies in a vast range of industries.

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 and robotics 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 with your BSc (Hons) degree, you’ll be prepared for a career working with intelligent systems ranging from domestic appliances and search engines to robots exploring Mars.

Subject to re-approval.

Course features

International students can apply
Professional accreditation
Sandwich year option available
Studying abroad option available
Work placement opportunity

What you'll study

The first year of your BSc (Hons) Robotics & Artificial Intelligence degree will be a balance of computing and fundamental mathematics. You’ll develop the fundamentals of analysis, programming and computer architecture, while developing your skills in calculus to give you the fundamental skills you need for the rest of your robotics degree. 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.

Compulsory modules:

Expand all

Professional Practice 1 introduces you to the computing profession and the professional practices of the industry. You will be introduced to the relevant regulatory requirements and accreditations governing the computing profession. You will also discover the role of professional bodies such as The Chartered Institute for IT (BCS), TIGA the network for games developers and digital publishers, and The National Cyber Security Centre (NCSC). Another key strand of the module is the development of key transferable skills. These include working independently and as part of a team, communicating effectively, and presenting information in a variety of formats including both written and oral. You will be encouraged to become a reflective and questioning learner and devise a personal development plan.

Module code: CIS1704

Credits: 20

Assessment

80% Coursework

20% Practical

During Year 2 of the robotics and AI degree, 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.

Compulsory modules:

Expand all

Applied Machine Learning reveals how machine learning is being applied to various problem domains such as computer vision, robotics, machine translation, text processing, medical diagnostics, and web mining. The impact of machine learning is clearly visible in our daily lives. We are surrounded by smart appliances such as cameras capable of recognising faces, chat-bots answering our questions on websites, and personalised news and advertisements when we browse content online. Autonomous transportation and robot-based goods delivery will soon become a reality. Given these changes all around us, it is important to combine knowledge of the underlying principles of machine learning with their practical application to provide innovative solutions. This module will immerse you in state-of-the-art methods in machine learning and develop your skills in various technologies, from programming languages such as C/C++, Python and Java, to software frameworks such as Tensorflow and Pytorch. You will discover the key challenges preventing or impeding automated machine learning for a range of practical problems, practically evaluate machine learning algorithms, and design, develop and implement an end-to-end machine learning system that has real-world applications.

Module code: CIS2720

Credits: 20

Assessment

100% Coursework

Knowledge Representation and Reasoning will train you in methods that can be used to extract pertinent and useful information from large-scale date sources. Over the past decade, there has been an exponential increase in the availability of online data resources. Technical methods of efficiently managing and interpreting large-scale data resources now play a pivotal role in driving business automation and informing critical business and design decisions. To deal with the rapid proliferation of available data, in both structured and unstructured formats, data processing techniques have had to adapt. By leveraging well-defined mathematical frameworks, knowledge representation and reasoning can accurately model information encoded in online data resources and infer new and novel knowledge that is not immediately evident to human users. This module will introduce you to the fundamental computational methods for knowledge representation and reasoning. These include first-order logic, ontology engineering, and propositional and predicate logic. You will also gain the practical skills needed to design, implement and evaluate knowledge representation and reasoning methods and analyse the strengths and limitations of each approach.

Module code: CIS2709

Credits: 20

Assessment

100% Coursework

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 in the world of robotics and AI. 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 with your BSc (Hons) Robotics & Artificial Intelligence degree.

Compulsory modules:

Expand all

Advanced Robotics and Artificial Intelligence models and analyses human and robot behaviour, including human-robot interaction and collaboration. You will develop an understanding of the basic principles about how to design user-friendly human-robot interaction systems. As artificial intelligence and robotics become more integrated into our daily life, simplifying many everyday tasks, it is hard to imagine how we could manage without them. Artificial intelligence, robotics, machine learning and deep learning are transforming heavily regulated industries, such as automotive, food and agriculture, constructions, healthcare and life sciences, financial services and trading. Over the last decade, substantial progress has been achieved. This module will explore human-robot interaction and etiquette through three fundamental questions about communication between a human and a robot. How should a robot move differently in the presence of a human? How should it understand hints in terms of postures and eye emotions? How should it learn from user feedback? This module will answer these questions and reveal the scale of the impact of human-robot interaction systems on modern society.

Module code: CIS3419

Credits: 20

Assessment

100% Coursework

Autonomous Secure Systems and Smart Devices introduces you to the theory and practical aspects of developing secure, smart and autonomous digital devices, from smart phones and wearable fitness-tracking technology to household controllers and voice interaction personalised assistants. Over the past decade, our digital world has drastically changed with a wide range of digital devices now being integrated into everyday tasks. Such devices have the ability to communicate with each other, generating vast amounts of data, and adapt their behaviour according to user preferences. This module will introduce you to the design and implementation of these autonomous secure systems and smart devices, modelling key ubiquitous computing properties and smart architecture models, as well as data analytics and machine learning methods on sensor data and security management of smart devices. You will gain the skills and confidence to design, implement and evaluate a software system that can be embedded into a smart and secure digital device.

Module code: CIS3418

Credits: 20

Assessment

100% Coursework

Embedded Systems today form the largest percentage of computer systems in service. They are greater in number than all other types of computer systems put together. Almost all moderately intelligent devices we use or rely upon, from domestic appliances to mobile telephones, motor vehicles, most automated consumer products, dispensers and toys, contain one or more microcontroller devices. These embedded systems are mostly not seen, tucked away in often unreachable and environmentally unfriendly locations. They are often expected to function for long periods of time, for example many years, without fault, attention or maintenance. As a result, they demand some unique engineering requirements. This module explores the principles of embedded systems as essential tools for enabling many other advanced technologies which can be seen or experienced every day. You will be introduced to the basics of the hardware and software unique to microcontrollers as core components of embedded systems. You will program a microcontroller and apply this skill to communicate with or control external devices.

Module code: CIS3421

Credits: 20

Assessment

100% Coursework

Intelligent Systems explores the artificial intelligence (AI) techniques embedded within many games to add greater depth and challenge to players. The module will explore the theory behind artificial intelligence programming. It provides the opportunity to develop your skills in writing AI code, using a range of key for the gaming industry. You will discover the adoption of artificial intelligence into the software develop process, learn how to create AI routines, and integrate these concepts into gaming code. Topics covered will include turn-based games, machine perception, decision support systems, planning and scheduling. You will also explore current developments and potential future applications of intelligent technology, as well as examining the ways in which artificial intelligent systems can solve a range of problems such as speech and pattern recognition. The module will culminate with the opportunity to implement a software application, underpinned by artificial intelligence, that meets the requirements of a brief you are given.

Module code: CIS3417

Credits: 20

Assessment

100% Coursework

Research and Development Project gives you the opportunity to show individual creativity and originality, apply your knowledge and skills, and demonstrate the ability to undertake an individual project through investigative research, problem-solving, effective communication and management. The project will be executed independently under the guidance of a supervisor. In exceptional circumstances group projects may be permitted as long as individual deliverables are clearly identified and this has been agreed with the Module Leader and Supervisor. You will conduct in-depth work on a substantial issue, including researching and analysing the problem and finding and realising a solution.

Module code: CIS3425

Credits: 40

Assessment

80% Practical

20% Coursework

How you'll study

The robotics and AI 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.

Timetables for your first week are normally available at the end of August prior to enrolment in September. You can expect to receive your timetable for the rest of the academic year during your first week. Please note that while we make every effort to ensure that timetables are as student-friendly as possible, scheduled teaching can take place on any day of the week. Wednesday afternoons are normally reserved for sports and cultural activities.

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.

Entry criteria

Entry requirements

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.

Example offers

Qualification	Requirement
A Level	BBC-BBB.
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.

For further information on how you can meet the entry requirements

UK EU International

If you don't meet the entry criteria, you might be interested in...

STEM Foundation Year

How to apply

Apply online through UCAS

Read our guide to applying through UCAS to find out more about the application process.

Apply as an international student

Please see our international student pages for further information about how to apply as a prospective international student.

Part-time applications require a direct application to Edge Hill. Please select the year of entry that you wish to apply for.

Apply for September 2025 part-time.

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.

Facilities

The robotics and AI degree is part of the Department of Computer Science, based in the state-of-the-art, £13m Tech Hub. This purpose-built development offers highly contemporary suites of outstanding facilities for computer science and engineering students – including students of the BSc (Hons) Robotics & Artificial Intelligence degree . 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 and a Harvard style lecture theatre.

Where you'll study

Tech Hub

Learning resources

Learning resources include 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.

Finance

Tuition fees

£9,535

a year

£17,000

a year

2025/2026 part-time fee information will be added when available.

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.

Financial support

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.

Scholarships

We offer a range of scholarships, which celebrate the determination, commitment and achievement of our students. Many of our scholarships are awarded automatically. There are some however, where you will need to be involved in an application or nomination process. To find out more about our scholarships and check your eligibility, please visit our dedicated scholarships pages.

Money Matters

Please view the relevant Money Matters guide for comprehensive information about the financial support available to eligible UK students.

Money Matters

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.

BCS accredited

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.

Course changes

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.

Download our course leaflet

Contact us

Search for a course

View all our courses