Computer Science & Artificial Intelligence BSc (Hons)
UCAS code: I1I4
Can computers think like humans? Ask the big questions and demystify the computer science behind artificial intelligence (AI) as you learn to create the systems, games and applications of the future.
Computers can see us, talk to us, and increasingly make decisions like us. On this course, you’ll explore how intelligence works and use that knowledge to design programmes and systems that make life better.
This is a fast-moving speciality built around a set of core skills. You will develop a strong foundation in computer science and AI by studying programming, mathematics, autonomous secure systems, intelligent systems, and data analytics.
Artificial intelligence meshes together different computing techniques to create new solutions. We teach you to create AI tools and rate their success. You’ll also work in robotics as you start to picture where you can take AI next.
Robotics and automated systems that utilise artificial intelligence help with medical diagnostics, gaming, and manufacturing. AI is in your home and school. Soon it will help every part of society. Our degree in computer science and artificial intelligence gives you the expertise to work in this exciting profession.
Sandwich year option available
Studying abroad option available
Work placement opportunity
What you'll study
We packed Year 1 with the fundamentals of the digital world. You’ll look at computer architecture, networks and professional practice. We will also teach you about software development, key mathematical concepts and the foundations of computer science. It is important to us that you feel confident in your core knowledge as you move up to 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
In Year 2, we want you to get hands on. You’ll strengthen your programming skills for complex tasks and use multi-sensors in robotics. You’ll make recommendations as a data analyst and explore computer forensics. At the same time, you’ll deepen your knowledge of the ideas behind computer science and AI. We care about your future: our employability module helps you develop transferable skills. You can also take a year in industry before beginning Year 3.
Applied Machine Learning
Module code: CIS2720
Module code: CIS2700
Foundations of Robotics and Artificial Intelligence
Module code: CIS2719
Introduction to Artificial Intelligence and Machine Learning
Module code: CIS2717
Knowledge Representation and Reasoning
Module code: CIS2709
Professional Practice 2
Module code: CIS2712
Become an AI specialist in your final year. Focus on the theories and practical aspects of artificial intelligence. Learn to design user-friendly human-robot interaction systems. Understand smart devices. Dive into the AI techniques behind popular games. Bring it all together to create your own piece of software in a research and development project, and graduate with highly desirable real-world skills.
Autonomous Secure Systems and Smart Devices
Module code: CIS3418
Module code: CIS3416
Module code: CIS3417
Research and Development Project
Module code: CIS3425
Secure Complex Systems
Module code: CIS3414
How you'll study
Teaching methods are designed in consultation with leading employers in the region. Many classes are based in computer laboratories, focusing on student activity as a means of learning. We introduce theoretical concepts by building on practical activity.
Classes are highly interactive, with the practical application of concepts a key factor, as well as cases drawn from real-life. Workshops, seminars, group tutorials and practical activities provide opportunities for you to work interdependently.
To enhance your employability, you will be given opportunities to work together and develop the essential people skills to complement your technical ability.
How you'll be assessed
You will be assessed through a combination of practical exercises, reports, essays, presentations and examinations. We want you to develop the ability to work effectively both independently and as part of a team, therefore assessment includes both of these forms, though the emphasis is strongly on individual work.
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 are active researchers in areas including artificial intelligence, machine learning, intelligent systems, distributed systems, mobile computing, data science and web information architecture. 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
You’ll leave us with the skills and knowledge to launch your career in computer science and artificial intelligence. Jobs you could apply for include Software Engineer, Data Scientist, and Business Intelligence Manager.
Our graduates are ready to work in many different industries, such as:
If you prefer to pursue an academic path, you can apply for a range of computing master’s as the next step on a route to a PhD.
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 - 28 September 2022
CIS1700 Foundations of Computer Science (20 credits), CIS1701 Computer Systems Architecture and Networks (20 credits), Programming 1 (20 credits), Programming 2 (20 credits), CIS1704 Professional Practice 1 (20 credits) and MAT1001 Differential Calculus (20 credits) replace CIS1107 Foundations of Computer Science (20 credits), CIS1108 Digital World: Information Systems and Design (20 credits), CIS1109 Digital World: Computer Architecture and Networks (20 credits), CIS1111 Programming: Concepts to Construction 1 (20 credits) and CIS1112 Programming: Concepts to Construction 2 (20 credits) as compulsory modules in Year 1. CIS1110 Web Design and Development (20 credits) and MAT1001 Differential Calculus (20 credits) removed as optional modules in Year 1.
CIS2700 Database Systems (20 credits), CIS2709 Knowledge Representation and Reasoning (20 credits), CIS2712 Professional Practice 2 (20 credits), CIS2717 Introduction to Artificial Intelligence and Machine Learning (20 credits), CIS2719 Foundations of Robotics and Artificial Intelligence (20 credits) and CIS2720 Applied Machine Learning (20 credits) replace CIS2143 Databases (20 credits), CIS2151 Introduction to Security (20 credits), CIS2162 Employability (20 credits), CIS2166 Data Analytics (20 credits), CIS2171 Foundations in Robotics and Artificial Intelligence (20 credits) and CIS2173 Knowledge Representation and Reasoning (20 credits) as compulsory modules in Year 2.
CIS3414 Secure Complex Systems (20 credits), CIS3416 Big Data (20 credits), CIS3417 Intelligent Systems (20 credits), CIS3418 Autonomous Secure Systems and Smart Devices (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), CIS3156 Intelligent 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 Module - 30 June 2021
MAT1001 Differential Calculus (20 credits) replaces SUG1023 Understanding Continuous Functions (20 credits) as an optional module in Year 1.