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Undergraduate course
BSc (Hons)
Computer Science (Artificial Intelligence)
Artificial intelligence (AI) is a rapidly growing field within computer science. Gain skills in real-world applications, AI theory, and creating tools for Industry 4.0, while exploring its ethical impact and engaging with top research.
Our typical offer
104 UCAS points
Practical, hands-on learning
At Plymouth you will 'learn through doing', engaging in practical activities that give you room to expand your creativity and build skills highly valued by employers.
Be part of the team
You will participate in team-based projects that mirror industry practices, developing ideas, achieving solutions, applying your knowledge and enhancing your teamwork skills.
Strong industry links
Use Plymouth's strong links with leading companies such as Apple, Microsoft, IBM, Oracle, and Intel, to gain experience working to solve real-world problems as part of your studies, increasing your career potential.
About
Technology continues to revolutionise the way we live, build, work, shop, learn and even access medical care. At Plymouth, you will gain hands-on skills across a range of topics including coding, algorithms, database and software development, cyber security, networks and social, legal and ethical aspects of IT. Through studying with our experts and applying your knowledge, you too will advance new technologies such as artificial intelligence, automation, virtual reality and smart devices.
Dr Amir Aly
Lecturer in Artificial Intelligence and Robotics
Lecturer in Artificial Intelligence and Robotics
This course is for you if...
you're fascinated by the potential of artificial intelligence and its real-world applications
you enjoy hands-on learning and developing new things
you aspire to work with industry leaders on real-world problems
you aim to build a career in the rapidly growing field of AI
Details
Year 1
Start your journey at the cutting edge of technology. In your first year, you’ll dive into the core principles of computer science—learning to code, solve problems algorithmically, and master the maths that powers modern computing.
From day one, it’s hands-on: you’ll design databases, explore how operating systems work under the hood, and start thinking like a developer.
Our industry-aligned curriculum sets you up for success, with practical workshops and early preparation to set you up for specialisation.
Core modules
BPIE111
Stage 1 Computing Placement Preparation
0 credits
This module is aimed at students who may be undertaking an industrial placement in the third year of their programme. It is designed to assist students in their search for a placement and in their preparation for the placement itself.
COMP1000
Software Engineering 1
20 credits
This module exposes students to the principles of software design and construction. The basics of constructing source code to solve a problem will be introduced, exposing students to common control structures alongside concepts such as types and generics. Major programming paradigms such as object orientation and functional programming are introduced. Additionally, key software development tools and methods are explored.
100% Coursework
COMP1001
Computer Systems
20 credits
This module provides students with an underpinning knowledge of how computers work. Topics include low-level systems and representation of data, operating systems, and an introduction to subjects such as virtualisation, parallelism, state and communications. Students will learn how operating systems manage processes and scheduling, and how memory management works.
100% Coursework
COMP1002
Cyber Security & Networks
20 credits
Modern computing relies upon networking and robust cyber security. This module provides an appreciation of their core enabling technologies, discussing how they can be applied. Key networking topics include routing and switching, as well as wireless networks. Key areas of security include underlying concepts and threats, and exploring security technologies that can be applied to enable defence in depth.
100% Coursework
COMP1003
Algorithms, Data Structures and Mathematics
20 credits
Data structures and algorithms lie at the heart of Computer Science as they are the basis for an efficient solution of programming tasks. In this module, students will study core algorithms and data structures, as well as being given an introduction to algorithm analysis and basic Mathematics for Computer Science.
100% Coursework
COMP1004
Computing Practice
40 credits
This module applies problem-based learning to provide students with the ability to identify problems and derive appropriate and considered solutions. A focus will be given to the early stages of the software development lifecycle to develop the skills of eliciting requirements whilst considering operational and technical trade-offs. The module will culminate in the creation of a simple yet complete software solution.
80% Coursework
20% Practicals
Year 2
In your second year, you’ll move beyond the fundamentals and start building intelligent systems that solve meaningful problems. You’ll refine your coding and software engineering skills, learn to manage and retrieve complex information, and dive deep into core AI concepts - from search and logic to intelligent agents.
Working in a collaborative group project, you’ll apply your knowledge to real scenarios, designing systems that think, learn, and adapt. With a range of optional modules - including security, software tools, and game development - you can tailor your learning to your interests and career goals.
Core modules
BPIE211
Stage 2 Computing Placement Preparation
0 credits
This module is aimed at students who may be undertaking an industrial placement in the third year of their programme. It is designed build on the Level 1 module (BPIE111) and to assist students in their search for a placement and in their preparation for the placement itself.
COMP2000
Software Engineering 2
20 credits
Students’ understanding of software engineering is expanded by introducing a range of topics that instil best practice. Students will learn how to implement faster software using parallelism and consider aspects of human-computer interaction. Object-orientation and functional programming are revisited, while event-driven programming is introduced. Common design patterns used in the construction of software are introduced.
100% Coursework
COMP2001
Information Management & Retrieval
20 credits
This module introduces students to the fundamental concepts for graphical representation, information management, database systems and data modelling. The capture, digitisation, representation, organisation, transformation and presentation of information is explored using conceptual and physical data models.
100% Coursework
COMP2002
Artificial Intelligence
20 credits
This module provides students with an introduction to the principles of artificial intelligence and the methods used in that field. Topics covered include search and optimisation, knowledge representation and reasoning, and machine learning. Students will gain experience of modelling and simulation, and will apply analytical tools to evaluating results, and will consider the ethical implications of the introduction of AI.
100% Coursework
COMP2003
Computing Group Project
40 credits
Knowledge gained in earlier stages of the computing programmes is consolidated and integrated into a substantial project. Students work in teams, champion professional roles, design and develop a software solution for a given scenario. The project integrates and expands upon software development stages covered on the course (project management, analysis, design, construction, communication, security and/or networking).
80% Coursework
20% Practicals
Optional modules
COMP2005
Software Development Tools and Practices
20 credits
This module explores the current state of the art in testing tools, including static and dynamic analysis tools. It explores programming environments that automate parts of program construction processes (e.g., automated builds) and continuous integration. Software verification and validation concepts are introduced along with testing types and testing fundamentals.
100% Coursework
COMP2006
Security Architectures & Cryptography
20 credits
The ability to design secure systems is critical to the successful operation of any system. This module will develop the knowledge and understanding of security architectures, design principles (such as least privilege, default deny) and elicitation of security requirements to enable the design of secure systems. Core to this knowledge is the role cryptography can have in addressing these requirements.
100% Coursework
COMP2007
Game Development
20 credits
This module provides a series of workshops in interactive systems for game developers with a core lecture series resulting in a substantial individual student project. The workshop series will also introduce students to the game development pipeline through an iterative process, tools and methods used in industry, developing professional practice.
100% Coursework
Optional placement year
Step into the real world and put your skills to the test. During this 48-week industry placement, you’ll gain invaluable experience in a professional environment - applying everything you’ve learned so far to real projects, real teams, and real challenges.
Supported by our strong network of industry partners and dedicated placement team, you’ll build confidence, sharpen your technical and professional skills, and grow a network of contacts that can open doors after graduation. It’s your opportunity to stand out, gain a competitive edge, and graduate with more than just a degree - graduate with experience.
Core modules
BPIE330
Computing Related Placement (Generic)
A 48-week period of professional training spent as the third year of a sandwich programme undertaking an approved placement with a suitable company. This provides an opportunity for the student to gain relevant industrial experience to consolidate the first two stages of study and to prepare for the final stage and employment after graduation.
Final year
Your final year is where you transform from student to AI specialist. You’ll master machine learning, explore how humans and robots interact, and apply your expertise in a major year-long project that solves a real-world challenge.
Choose optional modules in cutting-edge areas such as big data analysis, full-stack development, usability, or parallel computing.
Whether you want to design smart assistants, build AI for healthcare, or engineer systems that see and respond to the world - you’ll graduate with a portfolio, experience, and confidence to lead in the AI revolution.
Core modules
COMP3000
Computing Project
40 credits
The Computing Project provides an opportunity to tackle a major computing related problem in an approved topic area relevant to the programme of study.
80% Coursework
20% Practicals
COMP3003
Machine Learning
20 credits
This module introduces machine learning, covering unsupervised, supervised and reinforcement learning from a Bayesian perspective. This includes theory behind a range of learning techniques and how to apply these representations of data in systems that make decisions and predictions.
100% Coursework
COMP3018
Human-Robot Interaction
20 credits
This module provides basic knowledge about the growing field of human-robot interaction. It discusses how to create and evaluate a multimodal human-robot interactive system and highlights its applications in daily life. Besides, it discusses how an intelligent robot can learn from experience in the surroundings and what kind of cognitive architectures and models can be used to manage its behaviours in complex environments.
100% Coursework
Optional modules
COMP3006
Full-Stack Development
20 credits
This module explores the production of dynamic web applications with a particular focus on the web environment. Key elements such as object oriented and event-based development, asynchronous client-server communication and distributed content representation are explored through practical production. The production of a working system uses dynamic web frameworks such as HTML, CSS and JavaScript/jQuery.
100% Coursework
COMP3008
Big Data Analytics
20 credits
The key objective of this module is to familiarise the students with the most important information technologies used in manipulating, storing and analysing big data. Students will work with semi-structured datasets and choose appropriate storage structures for them. A representative of recent non-relational trends is presented—namely, graph-oriented databases.
100% Coursework
COMP3007
HCI, Usability and Visualization
20 credits
This module has three main objectives. The first objective is to enhance the students understanding of the topic of Human Computer Interaction (HCI). The second is to emphasise the crucial role of user feedback in the software development life cycle. The final objective is to exemplify this grounding in HCI and usability evaluation using the application area of Information Visualization.
100% Coursework
COMP3001
Parallel Computing
20 credits
This module develops an understanding of problems in Computer Science which take advantage of general-purpose computing on GPUs. It provides practical methodologies to reformulate problems in terms of hardware architecture, graphics primitives and high-performance computing concepts, as supported by the most recent GPUs. It develops the skills to implement parallel solutions with common GP-GPU computing languages.
100% Coursework
Optional pathways
We offer a suite of computer science courses allowing you to choose your specialist field.
We also offer
BSc (Hons) Computer Science with Foundation Year
.
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![BCS, The Chartered Institute for IT logo]( "BCS, The Chartered Institute for IT")
BCS, The Chartered Institute for IT accreditation
Accredited by, and entitles membership to, the BCS, the Chartered Institute for IT
BCS, The Chartered Institute for IT accreditation
The modules shown for this course are those currently being studied by our students, or are proposed new modules. Please note that programme structures and individual modules are subject to amendment from time to time as part of the University’s curriculum enrichment programme and in line with changes in the University’s policies and requirements.
Experience
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Develop your computational theory and practice
Gather requirements
Understand the problem. Learn how to conceptualise and design solutions to real-world problems. Be more than a coder.
Collaborate within a team
Work on projects from week one. Develop workflows, processes and understanding that allows your team to innovate.
Manage the pressure of deadlines
Make something tangible. Ensure it works. Optimise and iterate. Be agile and ready to overcome challenges.
Our specialist labs aid our research-driven, hands-on teaching
Our dedicated Computer Science hub will be ready to welcome students in September 2025, providing a dedicated space for our community of students, staff and technicians.
We also have dedicated artificial intelligence, games development, cyber security and software engineering labs to support our suite of specialist degrees.
I don’t think there’s been a single week where I haven’t used the computing lab at least five out of seven days. Having free, full access to specialised software like MATLAB, VirtualBox, Azure and Eclipse has been a significant boost to my education.
Samuel Fakolujo
BSc (Hons) Computer Science student
BSc (Hons) Computer Science student
Research-informed teaching
Learn from researchers and lecturers who are developing applications.
Benefit from our industry expertise and study a course that is influenced by our innovative research. Study theoretical and practical modules, which cover a range of topics including machine learning, computational theory, artificial intelligence, computer vision and parallel computing.
We have active research projects that are key to some of the industry's most pressing issues. Active core members of these research groups make up a large proportion of your lecturers and tutors, and you will be taught be some of the best academics in the field.
Dr Rory Hopcraft
Lecturer in Cyber Security
Programme Director
Dr Fatma Bouabdallah
Lecturer in Computer Science
Year 1 Tutor
Dr Vasilios Kelefouras
Lecturer in Computer Science
Admissions Tutor
Passionate about all things computing?
Explore, innovate, and connect with CompSoc; the University of Plymouth Computing Society. We offer a platform to:
- participate and learn together in collaborative coding sessions. Perfect for both improving your skills and helping others with their coding challenges
- gain insights from industry professionals through our guest speaker events, providing valuable industry connections and real-world perspectives on what it's like working in tech.
- build your professional network at our events. Meet peers, alumni, and professionals from the tech industry, opening doors to potential career opportunities and collaborations.
Life in Plymouth
Plymouth's maritime history and coastal location have an undeniable influence on life in the city. The walk from our main campus to the seafront is only about one mile, providing loads of opportunity to relax and unwind during your studies. You don’t need to leave the city to get to the coast!
The overall vibe of the city is perfect. You are by the sea so it is still laid back, but you have all the conveniences of living in a city.
Jenna
Current student
Current student
Life in the city
Discover what Plymouth and its unique geographical location have to offer
Explore your accommodation options
Discover our range of student accommodation options and find out how you can get a guaranteed place in halls
Get involved with one of our many student groups
Our large student population, active Students' Union, and abundance of student-led clubs and societies blend to create a busy and vibrant student scene
Careers
The professional skills I learned at Plymouth, coupled with the technical expertise in certain areas, allowed me to move directly into a Software Developer role
Jake Evans
BSc (Hons) Computer Science graduate, Software Developer at PenCarrie Ltd
BSc (Hons) Computer Science graduate, Software Developer at PenCarrie Ltd
According to CompTIA's State of the Tech Workforce UK report, the tech sector employed just under two million workers in 2021, accounting for 6.3% of the total UK workforce (source: Prospects 2023). The future is very promising for computing graduates.
Artificial intelligence graduates have gained employment as: mobile developers, web application developers, software developers, project managers, systems analysts, software engineers, UX developer, data analytics developer, AI developer, machine learning engineer, data engineer/architect.
Optional placement year: preparing you for the future
Preparing the next generation of computer scientists means offering opportunities to collaborate with industry connections through work placements and taking real-world business projects. The optional placement year offers you the chance to engage in hands-on learning, gaining practical experience so that you’ll be well-equipped to excel in the rapidly evolving world of technology.
We regularly have students securing placements and jobs at FTSE 100 companies. There is a perception that only students from red brick universities go to these places. It simply is not the case – our students are massively competitive and win these placements as well.
Professor Nathan Clarke
Professor in Cyber Security and Digital Forensics
The placement year taught me how to interact with different people throughout the company at differing levels and how to approach conversations to get the maximum amount of information out of them.
Richard Imms
BSc (Hons) Computer Science graduate, Senior Machine Learning Engineer at Just Eat.
BSc (Hons) Computer Science graduate, Senior Machine Learning Engineer at Just Eat.
*Data is from the Graduate Outcomes Surveys covering the three years of 2019/20 – 2021/22. Graduates were surveyed 15 months after graduating. Data displayed is for UK-domiciled, first degree, full-time graduates who are working, studying or looking for work.
Fees and funding
Tuition fees
Tuition fees for full-time UK students starting in 2025-2026 academic year
Full-time study
£9,535 per year
£9,535 per year
Part-time study
£795 per 10 credits
£795 per 10 credits
Tuition fee price changes
Following an announcement in November, the government has confirmed its intention to increase undergraduate tuition fees for the 2025/26 academic year. Following final Parliamentary approval in March 2025, the tuition fee for UK students is increasing to a maximum of £9,535 from 1 August 2025. This change applies to current and new students at the University of Plymouth. The Student Loans Company (SLC) has confirmed loans for tuition fees will be increased accordingly.
Our fees are reviewed on an annual basis. Fees and the conditions that apply to them are the most up to date but are still subject to change in exceptional circumstances. More information about
fees and costs of studying
.
Tuition fees for full-time international students starting in 2025-2026 academic year
Full-time study
£18,650 per year
£18,650 per year
Optional placement year completed in the UK
£1,905
Optional placement year completed outside the UK
£1,430
Tuition fee price changes
Our fees are reviewed on an annual basis. Fees and the conditions that apply to them are the most up to date but are still subject to change in exceptional circumstances. More information about
fees and costs of studying
.
Additional costs
This course is delivered by the Faculty of Science and Engineering. Studying a course in this faculty may incur additional costs relating to field-based activities or equipment requirements.
Fund your studies
As an undergraduate at Plymouth, there are plenty of funding options available, including tuition fee loans, living cost loans, scholarships, bursaries and support funds.
Supporting students with the cost of living
The cost of living in the UK has risen faster than household income, meaning that most people will have less to spend on essential goods and services. This is an ongoing situation that is likely to affect everyone in some way.
The University provides advice and guidance and has a range of services, facilities and offers to help students with rising everyday costs.
Apply
Secure your place this September
Use our helpful application support tool at any time to find out what you need to do to secure your place at the University of Plymouth.
Entry requirements
Our typical offer
104 UCAS points
104 UCAS points
You may be eligible for a contextual offer
GCSE
English C/4 and mathematics grade B/5. If you have a grade C/4 in mathematics please contact admissions team.
A levels
104 points from minimum of 2 A levels in any subject
18 Unit BTEC National Diploma/QCF Extended Diploma
DMM-DDM – science related subjects: IT, Humanities, Engineering, Software Development, IT Practitioners, Business, Computing, Science (GCSE English C/4 and mathematics grade B/5. If you have a grade C/4 in mathematics please contact admissions team).
BTEC National Diploma modules
If you hold a BTEC qualification it is vital that you provide our Admissions team with details of the exact modules you have studied as part of the BTEC. Without this information, we may be unable to process your application quickly and you could experience significant delays in the progress of your application to study with us. Please explicitly state the full list of modules within your qualification at the time of application.
All Access courses
Pass Access to HE Diploma in a relevant subject (e.g. Computing/IT/Science/Humanities/Engineering), with at least 33 Level 3 credits at Merit/Distinction.
T level
Merit to Distinction depending on the Mathematics units studying within the T level pathways.
International Baccalaureate
26-30 overall
Extended entry requirements
To be accepted onto a degree course with us, you must have a suitable English language qualification.
Ready to apply?
All applications for undergraduate courses are made through UCAS.com. Please refer to the course facts below when completing your application for this course.
UCAS course code
I400
I400
Institution code
P60
P60
Duration
3 years
(+ optional placement)
Course type
Full-time
Study location
Plymouth
Plymouth
Other routes into this course
The following courses are available as routes into this programme.
BSc (Hons) Computer Science with Foundation Year
Don't have the traditional entry requirements to start a degree? Get a solid grounding in the disciplines underpinning computer science through an additional foundation year, gaining hands-on skills across a range of topics.
Entry requirements
We welcome applicants with international qualifications and we accept a range of qualifications from across the globe.
Our typical offer
104 UCAS points
104 UCAS points
BSearch entry requirements for your country
5
English language requirements
To be accepted onto a degree course with us, you must have a suitable English language qualification.
Ready to apply?
As an international student, you can apply for this course through UCAS or an agent in your country.
Need support with your application?
- Personal statement guidance
- student visa support
- travel and arrival information
- and more.
UCAS course code
I400
I400
Institution code
P60
P60
Duration
3 years
(+ optional placement)
Course type
Full-time
Study location
Plymouth
Plymouth
Other routes to this course
If you do not have the required qualifications for this course, you may be able to gain them through the
University of Plymouth International College (UPIC)
.
Visit us at an undergraduate on-campus open day
Open days are the best way to get a feel for studying an undergraduate degree at the University of Plymouth.
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The results of the National Student Survey (NSS) and the Graduate Outcomes survey (GO) are made available to prospective students and their advisors through the Discover Uni website.