School of Engineering, Computing and Mathematics

BSc (Hons) Computer Science (Artificial Intelligence)

UCAS tariff 104 - 120 Contextual offers
A contextual offer is an offer to study at university that takes personal circumstances that may affect grades into account.
UCAS course code I400
Institution code P60
Duration

3 years

(+ optional placement)
Course type

Full-time

Study location Plymouth

Artificial intelligence (AI) is a rapidly growing field within computer science. At Plymouth, you'll gain the skills you need to excel in your AI expert career by exploring topics from real-word applications of AI, to understanding the theoretical underpinnings of the subject, to creating the innovative AI-driven tools that will drive Industry 4.0. You will also gain valuable understanding of the ethical implications of AI on society and engage with our world-leading research.

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.

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 care about the responsible and ethical use of AI
  • you aspire to work with industry leaders on real-world problems
  • you aim to build a career in the rapidly growing field of AI, with roles such as AI developer or machine learning engineer.
Luke Underhill - Computing student using VR equipment.

Careers with this subject

Preparing coders, creators and developers for work

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, Deputy Head of School (School of Engineering, Computing and Mathematics)

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.

Key features

Be inspired by the creativity that our course nurtures

You’ll learn from dedicated teaching staff engaged in internationally significant research, actively creating and developing applications.

Collaborate and build

Mirroring the teamwork at the heart of the industry, you’ll work in a team to develop work with a real purpose.

Get a head-start in the industry

Our links with industry are used to embed relevant real-world problems directly into the course.

Make use of cutting-edge facilities

Access a range of specialist equipment and innovative laboratories in our engineering and design facility . You'll also have access to specialist laboratories equipped with various hardware and software configurations.

Course details

  • Year 1

  • 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

  • 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

  • Year 3

  • Core modules

    BPIE330
    Computing Related Placement (Generic)

    A 48-week period of professional training spent as the third year of a sandwich course, undertaking an approved placement with a suitable company. This provides an opportunity for you to gain relevant industrial experience to consolidate the first two years of study and to prepare for the final year and employment after graduation. Please note this placement is optional but strongly recommended.

  • Final year

  • 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

    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

    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

    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

    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

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.

Entry requirements

UCAS tariff

104 - 120

Contextual offers: Typically, the contextual offer for this course is 8 points below the advertised tariff. A contextual offer is an offer to study at university that takes into account individual circumstances that are beyond your control, and that can potentially impact your learning and your exam results, or your confidence in applying to university.

Check your eligibility 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: 104-120 points from minimum of 2 A levels in any subject.
International Baccalaureate: 27-30 overall
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.
Other qualifications will be considered individually; please contact us for information.
We welcome applicants with international qualifications. To view other accepted qualifications please refer to our tariff glossary .

Fees, costs and funding

New student 2024-2025 2025-2026 *
Home £9,250 £9,535
International £18,100 £18,650
Part time (Home) £770 £795
Full time fees shown are per annum. Part time fees shown are per 10 credits. Please note that fees are reviewed on an annual basis. Fees and the conditions that apply to them shown in the prospectus are correct at the time of going to print. Fees shown on the web are the most up to date but are still subject to change in exceptional circumstances. More information about fees and funding.

* UK Government announcement on tuition fees

On Monday 4 November 2024, the UK Government announced a proposal to increase tuition fees for home undergraduate students from £9,250 to £9,535 per annum from September 2025 onwards. The University of Plymouth intends to apply this new fee from September 2025. However, implementation of this increase will be subject to parliamentary procedure. This change applies to new students starting their studies in September 2025. For current and returning students, the University is reviewing fees and will update you as soon as possible.

Undergraduate scholarships for international students

To reward outstanding achievement the University of Plymouth offers scholarship schemes to help towards funding your studies.

Additional costs

This course is delivered by the Faculty of Science and Engineering and more details of any additional costs associated with the faculty's courses are listed on the following page: Additional fieldwork and equipment costs .

Tuition fees for optional placement years

The fee for all undergraduate students completing any part of their placement year in the UK in 2024/2025 is £1,850.
The fee for all undergraduate students completing their whole placement year outside the UK in 2024/2025 is £1,385.
Learn more about placement year tuition fees

How to apply

All applications for undergraduate courses are made through UCAS (Universities and Colleges Admissions Service).
UCAS will ask for the information contained in the box at the top of this course page including the UCAS course code and the institution code.
To apply for this course and for more information about submitting an application including application deadline dates, please visit the UCAS website.
Support is also available to overseas students applying to the University from our International Office via our how to apply webpage or email admissions@plymouth.ac.uk.

Preparing coders, creators and developers for work

“The University provided me with the BPIE module which helped prepare me for the placement year. 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. After finishing my placement year, I had direction and knew which modules I needed to pick in my final year to help me achieve my new found aims.”
Richard Imms, BSc (Hons) Computer Science graduate, had a placement with Accenture.
Richard Imms, BSc (Hons) Computer Science, at Accenture
 
 

Specialist facilities

Our specialist labs aid our research-driven, hands-on teaching.
Our landmark Babbage Building houses contemporary specialist equipment and laboratories, bringing engineering, science and the arts together, and enabling holistic and creative approaches to problem-solving to address some of the world’s biggest issues.
You'll also have access to a number of specialist laboratories in the Smeaton Building, equipped with various hardware and software configurations.
Exterior of Babbage building
 

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.

Meet your expert teaching staff

Meet our school technical staff

Our technical staff are integral to the delivery of all our programmes and bring a diverse range of expertise and skills to support students in laboratories and workshops.

console.log("Welcome to CompSoc");

The University of Plymouth Computing Society offers a platform to explore, innovate, and connect.
Programming: participate in collaborative coding sessions where we learn together. These sessions are perfect for both improving your skills and helping others with their coding challenges.
Guest speakers: gain insights from industry professionals through our guest speaker events. These talks provide valuable industry connections and real-world perspectives on what it's like working in tech.
Networking events: build your professional network at our events. Meet peers, alumni, and professionals from the tech industry, opening doors to potential career opportunities and collaborations.
Kaspersky interactive protection simulation (KIPS) training
Athena SWAN Silver Award logo

Athena Swan Silver

The School of Engineering, Computing and Mathematics was awarded an Athena Swan Silver award in September 2024 which demonstrates our ongoing commitment to advancing gender equality and success for all.