About this course
Artificial intelligence (AI) is set to revolutionise work, leisure and travel in ways we can only imagine. It has the potential to solve global health, social and environmental challenges. On this computer science with artificial intelligence course, you’ll learn to design and build the AI programs and systems behind these exciting developments.
As a highly respected hub for AI research, you'll benefit from a range of specialist modules that few UK universities can match. You’ll also be taught by academics actively involved in the latest advances in AI.
Areas you’ll study include machine learning, computer vision, intelligent agents, game theory and robotics.
You’ll graduate with outstanding career prospects in one of today’s most exciting and rapidly evolving fields of computer science.
As part of your master's you will:
- learn how to design, build and deliver software programs and systems
- study AI principles and practice at an advanced level
- be taught by academic staff at the forefront of research
- do an individual special project in year 3
- take part in a group design project in year 4, working with an academic or industry customer
This MEng Computer Science with Artificial Intelligence degree is accredited by the Institution of Engineering and Technology on behalf of the Engineering Council for the purposes of:
- fully meeting the academic requirement for registration as a Chartered Engineer
This course is also accredited by the British Computer Society
We regularly review our courses to ensure and improve quality. This course may be revised as a result of this. Any revision will be balanced against the requirement that the student should receive the educational service expected. Find out why, when, and how we might make changes.
Our courses are regulated in England by the Office for Students (OfS).
In the field of computer science, it is highly advantageous to gain technical expertise, but it is also necessary to foster good relationships with your colleagues. Attending events organized by societies such as hackathons and game jams can help you connect with your peers and gain insight into how people function in the industry.
Course location
This course is based at Highfield.
Awarding body
This qualification is awarded by the University of Southampton.
Download the Course Description Document
The Course Description Document details your course overview, your course structure and how your course is taught and assessed.
Entry requirements
For Academic year 202526
A-levels
A*AA including mathematics (minimum grade A).
A-levels additional information
A pass in the science Practical is required where it is separately endorsed.
Offers typically exclude General Studies and Critical Thinking.
Applicants who have not studied mathematics at A-level can apply for the Engineering/Physics/Mathematics Foundation Year
A-levels with Extended Project Qualification
If you are taking an EPQ in addition to 3 A levels, you will receive the following offer in addition to the standard A level offer: AAA including mathematics (minimum grade A), plus grade A in the EPQ
A-levels contextual offer
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
International Baccalaureate Diploma
Pass, with 38 points overall, with 19 points required at Higher Level including 6 at Higher Level in Mathematics (Analysis and Approaches) or 7 at Higher Level in Mathematics (Applications and Interpretation)
International Baccalaureate Diploma additional information
Applicants who have not studied the required subjects at Higher Level can apply for the Engineering/Physics/Mathematics Foundation Year
International Baccalaureate contextual offer
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
International Baccalaureate Career Programme (IBCP) statement
Offers will be made on the individual Diploma Course subject(s) and the career-related study qualification. The CP core will not form part of the offer. Where there is a subject pre-requisite(s), applicants will be required to study the subject(s) at Higher Level in the Diploma course subject and/or take a specified unit in the career-related study qualification. Applicants may also be asked to achieve a specific grade in those elements. Please see the University of Southampton International Baccalaureate Career-Related Programme (IBCP) Statement for further information. Applicants are advised to contact their Faculty Admissions Office for more information.
BTEC
RQF BTEC
D in the BTEC National Extended Certificate plus grades A*A from two A-levels including mathematics (minimum grade A) or D* in the BTEC National Extended Certificate plus grades AA from two A-levels including mathematics.
D*D in the BTEC National Diploma plus grade A in A-level mathematics or DD in the BTEC National Diploma plus grade A* in A-level mathematics.
We will consider the BTEC National Extended Diploma if studied alongside A-level mathematics.
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
Additional information
Offers typically exclude General Studies and Critical Thinking. A pass in the science Practical is required where it is separately endorsed. Applicants who have not studied mathematics at A-level can apply for the Engineering/Physics/Mathematics Foundation Year
QCF BTEC
D in the BTEC Subsidiary Diploma plus grades A*A from two A-levels including mathematics (minimum grade A) or D* in the BTEC Subsidiary Diploma plus grades AA from 2 A-levels including mathematics.
D*D in the BTEC Diploma plus grade A in A-level mathematics or DD in the BTEC Diploma plus grade A* in A-level mathematics.
We will consider the BTEC Extended Diploma if studied alongside A-level mathematics.
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
Access to HE Diploma
Not accepted for this course. Applicants with an Access to HE Diploma in a relevant subject should apply for the Engineering/Physics/Mathematics Foundation Year
Irish Leaving Certificate
Irish Leaving Certificate (first awarded 2017)
H1 H1 H1 H2 H2 H2, to include mathematics and applied mathematics
Irish certificate additional information
Applicants who have not studied the required subjects can apply for the Engineering/Physics/Mathematics Foundation Year
Irish Offer Contextual
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
Scottish Qualification
Offers will be based on exams being taken at the end of S6. Subjects taken and qualifications achieved in S5 will be reviewed. Careful consideration will be given to an individual’s academic achievement, taking in to account the context and circumstances of their pre-university education.
Please see the University of Southampton’s Curriculum for Excellence Scotland Statement (PDF) for further information. Applicants are advised to contact their Faculty Admissions Office for more information.
Cambridge Pre-U
D2, D3, D3 in three Principal subjects including mathematics
Cambridge Pre-U additional information
Cambridge Pre-U's can be used in combination with other qualifications such as A levels to achieve the equivalent of the typical offer, where D2 can be used in lieu of A-level grade A* or grade D3 can be used in lieu of A-level grade A. Applicants who have not studied the required Principal subjects can apply for the Engineering/Physics/Mathematics Foundation Year
Cambridge Pre-U Offer Contextual
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
Welsh Baccalaureate
A*AA including mathematics (minimum grade A) or A*A from two A-levels including mathematics (minimum grade A), and A from the Advanced Welsh Baccalaureate Skills Challenge Certificate.
Welsh Baccalaureate additional information
A pass in the science Practical is required where it is separately endorsed. Offers typically exclude General Studies and Critical Thinking. Applicants who have not studied the required subjects can apply for the Engineering/Physics/Mathematics Foundation Year
Welsh Baccalaureate contextual offer
We are committed to ensuring that all applicants with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise an applicant's potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
T-Level
A Distinction* overall, with A* in Core and Distinction in the Occupational Specialism, and grade A in A-level Mathematics.
The following T levels are accepted:
- Digital Business Services
- Digital Support Services
- Science
- Design and Development for Engineering and Manufacturing
- Maintenance, Installation and Repair for Engineering and Manufacturing
The following Occupational Specialisms are required:
- For the T level in Design and Development for Engineering and Manufacturing: either "Electrical and electronic engineering” or "Control and instrumentation engineering".
- For the T level in Maintenance, Installation and Repair for Engineering and Manufacturing: either "Maintenance engineering technologies: Electrical and Electronic" or "Maintenance engineering technologies: Mechatronic" or "Maintenance engineering technologies: Control and Instrumentation" or "Light and Electric Vehicles".
Other requirements
GCSE requirements
Applicants must hold GCSE English language (or GCSE English) (minimum grade 4/C) and mathematics (minimum grade 4/C)
Find the equivalent international qualifications for our entry requirements.
English language requirements
If English is not your first language, you must show that you can use English to the level we require. Visit our English language pages to find out which qualifications we accept and how you can meet our requirements.
If you are taking the International English Language Testing System (IELTS), you must get at least the following scores:
IELTS score requirements
- overall score
- 6.5
- reading
- 6.0
- writing
- 6.0
- speaking
- 6.0
- listening
- 6.0
If you do not meet the English language requirements through a test or qualification, you may be able to meet them by completing one of our pre-sessional English programmes before your course starts.
You might meet our criteria in other ways if you do not have the qualifications we need. Find out more about:
- our Ignite your Journey scheme for students living permanently in the UK (including residential summer school, application support and scholarship)
- skills you might have gained through work or other life experiences (otherwise known as recognition of prior learning)
Find out more about our Admissions Policy.
Mature applicants
We welcome applications from learners of all ages. Students who are aged 21 and over at the start of their undergraduate course are defined as mature by the University of Southampton. We take a holistic assessment of the application looking for academic ability and commitment to study. Typical entry requirements, which may vary from discipline to discipline, includes for example, evidence of recent formal academic qualifications or professional qualifications, relevant work experience or volunteering. You may also be invited to attend an interview with an Admissions Tutor. For some degree programmes, there may also be a Professional, Statutory and Regulatory Body (PSRB) requirement. We accept many different academic qualifications. For more information, please contact the Admissions Team.
For Academic year 202627
A-levels
A*AA including mathematics (minimum grade A).
A-levels additional information
A pass in the science Practical is required where it is separately endorsed.
Offers typically exclude General Studies and Critical Thinking.
Applicants who have not studied mathematics at A-level can apply for the Engineering/Physics/Mathematics Foundation Year
A-levels with Extended Project Qualification
If you are taking an EPQ in addition to 3 A levels, you will receive the following offer in addition to the standard A level offer: AAA including mathematics (minimum grade A), plus grade A in the EPQ
A-levels contextual offer
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme as follows:
AAB including mathematics (minimum grade A)
International Baccalaureate Diploma
Pass, with 38 points overall, with 19 points required at Higher Level including 6 at Higher Level in Mathematics (Analysis and Approaches) or 7 at Higher Level in Mathematics (Applications and Interpretation)
International Baccalaureate Diploma additional information
Applicants who have not studied the required subjects at Higher Level can apply for the Engineering/Physics/Mathematics Foundation Year
International Baccalaureate contextual offer
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
International Baccalaureate Career Programme (IBCP) statement
Offers will be made on the individual Diploma Course subject(s) and the career-related study qualification. The CP core will not form part of the offer. Where there is a subject pre-requisite(s), applicants will be required to study the subject(s) at Higher Level in the Diploma course subject and/or take a specified unit in the career-related study qualification. Applicants may also be asked to achieve a specific grade in those elements. Please see the University of Southampton International Baccalaureate Career-Related Programme (IBCP) Statement for further information. Applicants are advised to contact their Faculty Admissions Office for more information.
BTEC
RQF BTEC
D in the BTEC National Extended Certificate plus grades A*A from two A-levels including mathematics (minimum grade A) or D* in the BTEC National Extended Certificate plus grades AA from two A-levels including mathematics.
D*D in the BTEC National Diploma plus grade A in A-level mathematics or DD in the BTEC National Diploma plus grade A* in A-level mathematics.
We will consider the BTEC National Extended Diploma if studied alongside A-level mathematics.
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
Additional information
Offers typically exclude General Studies and Critical Thinking. A pass in the science Practical is required where it is separately endorsed. Applicants who have not studied mathematics at A-level can apply for the Engineering/Physics/Mathematics Foundation Year
QCF BTEC
D in the BTEC Subsidiary Diploma plus grades A*A from two A-levels including mathematics (minimum grade A) or D* in the BTEC Subsidiary Diploma plus grades AA from 2 A-levels including mathematics.
D*D in the BTEC Diploma plus grade A in A-level mathematics or DD in the BTEC Diploma plus grade A* in A-level mathematics.
We will consider the BTEC Extended Diploma if studied alongside A-level mathematics.
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
Access to HE Diploma
Not accepted for this course. Applicants with an Access to HE Diploma in a relevant subject should apply for the Engineering/Physics/Mathematics Foundation Year
Irish Leaving Certificate
Irish Leaving Certificate (first awarded 2017)
H1 H1 H1 H2 H2 H2, to include mathematics and applied mathematics
Irish certificate additional information
Applicants who have not studied the required subjects can apply for the Engineering/Physics/Mathematics Foundation Year
Irish Offer Contextual
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
Scottish Qualification
Offers will be based on exams being taken at the end of S6. Subjects taken and qualifications achieved in S5 will be reviewed. Careful consideration will be given to an individual’s academic achievement, taking in to account the context and circumstances of their pre-university education.
Please see the University of Southampton’s Curriculum for Excellence Scotland Statement (PDF) for further information. Applicants are advised to contact their Faculty Admissions Office for more information.
Cambridge Pre-U
D2, D3, D3 in three Principal subjects including mathematics
Cambridge Pre-U additional information
Cambridge Pre-Us can be used in combination with other qualifications such as A-levels to achieve the equivalent of the typical offer, where D2 can be used in lieu of A-level grade A or D3 can be used in lieu of A-level grade A or grade M2 can be used in lieu of A-level grade B.
Cambridge Pre-U Offer Contextual
We are committed to ensuring that all learners with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise a learner’s potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
Welsh Baccalaureate
A*AA including mathematics (minimum grade A)
or
A*A from two A-levels including mathematics (minimum grade A) and A from the Advanced Skills Baccalaureate Wales.
Welsh Baccalaureate additional information
A pass in the science Practical is required where it is separately endorsed. Offers typically exclude General Studies and Critical Thinking. Applicants who have not studied the required subjects can apply for the Engineering/Physics/Mathematics Foundation Year
Welsh Baccalaureate contextual offer
We are committed to ensuring that all applicants with the potential to succeed, regardless of their background, are encouraged to apply to study with us. The additional information gained through contextual data allows us to recognise an applicant's potential to succeed in the context of their background and experience. Applicants who are highlighted in this way will be made an offer which is lower than the typical offer for that programme.
T-Level
A Distinction* overall, with A* in Core and Distinction in the Occupational Specialism, and grade A in A-level Mathematics.
The following T levels are accepted:
- Digital Business Services
- Digital Support Services
- Science
- Design and Development for Engineering and Manufacturing
- Maintenance, Installation and Repair for Engineering and Manufacturing
The following Occupational Specialisms are required:
- For the T level in Design and Development for Engineering and Manufacturing: either "Electrical and electronic engineering” or "Control and instrumentation engineering".
- For the T level in Maintenance, Installation and Repair for Engineering and Manufacturing: either "Maintenance engineering technologies: Electrical and Electronic" or "Maintenance engineering technologies: Mechatronic" or "Maintenance engineering technologies: Control and Instrumentation" or "Light and Electric Vehicles".
Other requirements
GCSE requirements
Applicants must hold GCSE English language (or GCSE English) (minimum grade 4/C) and mathematics (minimum grade 4/C)
Find the equivalent international qualifications for our entry requirements.
English language requirements
If English is not your first language, you must show that you can use English to the level we require. Visit our English language pages to find out which qualifications we accept and how you can meet our requirements.
If you are taking the International English Language Testing System (IELTS), you must get at least the following scores:
IELTS score requirements
- overall score
- 6.5
- reading
- 6.0
- writing
- 6.0
- speaking
- 6.0
- listening
- 6.0
If you do not meet the English language requirements through a test or qualification, you may be able to meet them by completing one of our pre-sessional English programmes before your course starts.
You might meet our criteria in other ways if you do not have the qualifications we need. Find out more about:
- our Ignite your Journey scheme for students living permanently in the UK (including residential summer school, application support and scholarship)
- skills you might have gained through work or other life experiences (otherwise known as recognition of prior learning)
Find out more about our Admissions Policy.
Mature applicants
We welcome applications from learners of all ages. Students who are aged 21 and over at the start of their undergraduate course are defined as mature by the University of Southampton. We take a holistic assessment of the application looking for academic ability and commitment to study. Typical entry requirements, which may vary from discipline to discipline, includes for example, evidence of recent formal academic qualifications or professional qualifications, relevant work experience or volunteering. You may also be invited to attend an interview with an Admissions Tutor. For some degree programmes, there may also be a Professional, Statutory and Regulatory Body (PSRB) requirement. We accept many different academic qualifications. For more information, please contact the Admissions Team.
Got a question?
Please contact our enquiries team if you're not sure that you have the right experience or qualifications to get onto this course.
Email: enquiries@southampton.ac.uk
Tel: +44(0)23 8059 5000
Course structure
This accredited course is designed to give you industry experience alongside our research-led teaching.
We encourage you to take summer work placements in an industry of your choice or even add a full year in industry to help you gain the experience you need for accreditation.
All our computer science degree courses share the same compulsory modules in years 1 and 2, making it easy to switch between them. In the third and fourth years, you can tailor your degree by choosing optional modules.
Year 1 overview
You’ll study the logical and mathematical theory underpinning computer science. You’ll also gain an understanding of the fundamentals of computer hardware.
As an introduction to software engineering, you’ll cover data structures and algorithms. You’ll also look at the principles of AI programming, including using an object-oriented approach and software engineering processes.
You’ll apply your knowledge by working on practical projects. For example, you’ll build algorithms and data analysis tools, and develop software user interfaces.
Year 2 overview
You’ll deepen your understanding of computer science by studying topics, such as artificial intelligence, communication protocols and the TCP/IP layered model.
A group project will give you first-hand experience of working in a team, and of the problems of communication and scale in software engineering.
Year 3 overview
An individual project is a chance to explore in depth an area of AI that interests you, under the supervision of an academic who is doing work in that area. Recent topics include:
- the use of machine learning to enhance the high street shopping experience
- improving autonomous driving systems
You’ll take a compulsory module in engineering management and law. You’ll also specialise in artificial intelligence choosing options such as machine learning, simulation and advanced robotics.
You could also study a language, take modules from other disciplines such as psychology or chemistry, or choose from a range of innovative interdisciplinary modules.
Year 4 overview
You’ll take part in a group design project. This involves working in a team for an industry or academic customer to solve a real-world problem. For example, previous students built an AI system for Ordnance Survey for a project entitled ‘learning from aerial imagery’.
Optional modules cover topics such as machine learning, computational finance and biologically inspired robots.
There is also an opportunity to study abroad for a semester.
Want more detail? See all the modules in the course.
Modules
The modules outlined provide examples of what you can expect to learn on this degree course based on recent academic teaching. As a research-led University, we undertake a continuous review of our course to ensure quality enhancement and to manage our resources. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand. Find out why, when and how we might make changes.
For entry in academic year 2025 to 2026
Year 1 modules
You must study the following modules in year 1:
Algorithmics
This module teaches the basic data structures and algorithms which underpins modern software engineering. Without these algorithms most software would be hopelessly slow to the point of unusability. The course also teaches the principles behind the algori...
COMP Part I Laboratory Programme
This module is the lab programme for all first-year students enrolled on the Computer Science or Software Engineering degree programmes. Structurally, the Part I Laboratory Programme organises all practical, professional and laboratory-based work in Part ...
Computer Systems I
This module aims to give students an understanding of the fundamentals of computer hardware and of the principles of operation of computers and peripheral devices. In addition, the module aims to give an overview of the main families of microprocessors an...
Data Management
This module aims to: • Introduce students to the UNIX operating system, to the UNIX command line, and to standard UNIX tools (e.g., vi editor, ed, sed and awk) • Introduce students to version management systems • Provide a grounding in the use of datab...
Mathematics I
This module aims to: - Introduce the logical and mathematical foundations of computer science. - Illustrate the use of formal languages in computer science, including in algorithms and programming. - Extend students' mathematical sophistication and ski...
Mathematics II
This module aims to cover the continuous mathematics that's required for the computer science and software engineering programmes.
Networks and Security
This module introduces students to the principles of layered communication protocols, the architecture of the Internet and the TCP/IP model. This is complemented with a multi-disciplinary overview of cyber security, which considers not only technical meas...
Programming I
This module introduces students to the principles of programming, and provides them with the programming skills necessary to continue the study of computer science. Python and C are used as the introductory languages.
Programming II
The aim of this module is to teach the students object-oriented programming techniques using Java.
Year 2 modules
You must study the following modules in year 2:
Artificial Intelligence
This module aims to give a broad introduction to the rapidly-developing field of artificial intelligence.
Computer Systems II
This module aims to introduce students to operating system internals and the general principles and practices of developing low-level software that interacts directly with hardware.
Formal Specification and Verification
This module aims to give a broad introduction to the use of formal methods for proving program correctness.
Programming III
This module aims to introduce students to recursion and to the principles of recursive, applicative and functional programming. In it, they will use various functional abstractions to control the complexity of programming, and will use abstraction mechani...
Programming Language Concepts
This module aims to introduce students to the fundamental concepts underlying all programming languages, to introduce a broad range of programming language styles and features, and to provide the theoretical foundation that they will need in order to be a...
Software Design and Development Project
This module gives students experience of working in a team to design and develop a significant interactive software system. This practical activity is balanced with taught material to give students a theoretical understanding of the supporting disciplines...
Theory of Computing
This module aims to provide a broad and stimulating introduction to the theory of computing.
Year 3 modules
You must study the following modules in year 3:
Part III Individual Project Phase 1
The Part Three Individual Project gives students the opportunity to gain both detailed knowledge and practical experience in a more focussed area than generally possible elsewhere in their degree programme. Most projects are in the nature of a challenging...
Part III Individual Project Phase 2
The Part III Individual Project gives students the opportunity to gain both detailed knowledge and practical experience in a more focussed area than generally possible elsewhere in their degree programme. Most projects are in the nature of a challenging e...
You must also choose from the following modules in year 3:
Advanced Computer Architecture
This module covers the development of modern computer architectures for servers, workstations, hand-held devices, signal processing and embedded systems from the introduction of the four-stage RISC pipeline to the present day.
Advanced Computer Networks
This module is designed to be a follow-up module to the computer Science or ITO second year introductory networking module. The wireless networking part reviews wireless technologies and their application in areas such as IoT and sensor networks. The mod...
Advanced Databases
This module builds on the first year Data Management module to give students a deeper and broader view of the issues involved in database management systems, some of the most complex software in common use.
Causal Reasoning and Machine Learning
The broad educational goal is to enhance students' ability to reason about data generating processes, and extract, interrogate and evaluate patterns in the data. The focus on methods of causal analysis overlaps with the objectives of ``explainable AI." St...
Cheminformatics
This course is an introduction to the use of computers in chemistry, commonly referred to as cheminformatics. A number of aspects will be covered, with the aim of giving a firm basis to continue with research in cheminformatics in industry or academia. Th...
Cloud Application Development
During the first two years of the degree students gain experience in a variety of 'traditional' programming languages in procedural, functional and object-oriented flavours. This module addresses the design and use of scripting languages for a contemporar...
Computational Biology
Modern biology poses many challenging problems for the computer scientists. Rapid growth in instrumentation, and our ability to archive and distribute vast amounts of data, has significantly changed the way we attempt to understand cellular function, and ...
Computer Vision
The challenge of computer vision is to develop a computer based system with the capabilities of the human eye-brain system. It is therefore primarily concerned with the problem of capturing and making sense of digital images. The field draws heavily on ma...
Foundations of Machine Learning
Machine Learning is about extracting useful information from large and complex datasets. The subject is a rich mixture of concepts from function analysis, statistical modelling and computational techniques. The module will cover the fundamental principles...
Game Design and Development
Games design and development is an increasingly important and sophisticated topic, that draws together many of the core aspects of Computer Science and Software Engineering. This course introduces students to the fundamentals of game design, gives them pr...
History of Computing
Our modern world has been profoundly shaped by the availability of cheap and reliable computers, but the ubiquity of this technology has led many to overlook the rich history of its development. In this module, we will study the evolution of technologi...
Machine Learning Technologies
Machine Learning is about extracting useful information from large and complex datasets. The module will cover the practical basis of how learning algorithms are can be applied. You will gain hands-on experience in laboratory-bases sessions. Exclusions...
Natural Language Processing
This module gives students an introduction to natural language processing (NLP) algorithms and an understanding of how to implement NLP applications.
Operational Research
The module introduces the operational research approach for modelling and solving engineering and management problems.
Optimisation
The module provides an introduction to the theory and practice of optimization techniques. It covers linear programming as well as nonlinear programming. This module is suitable to those who want to apply computational optimization methods to their proble...
Real-Time Computing and Embedded Systems
This module gives a broad introduction to development of real-time and embedded systems
Robotic Systems
Robots are becoming more widely used in society, with applications ranging from agriculture through to manufacturing, with increasing interest in autonomous systems. This module will introduce students to the fundamentals of robotic systems including k...
Security of Cyber Physical Systems
The course requires to understand C code, assembly language, x86 architectures and memory allocation (a refresher will be provided).
Social Computing Techniques
The aim of this module is to introduce the fundamental concepts and computational techniques used in social computing. In a broad sense, social computing is about building computational systems that harness the collective intelligence of people, using tec...
Web Architecture and Hypertext Technologies
The World Wide Web is a global information infrastructure that underpins the digital economy, our own social interactions and the world's cultures. It is built on a simple model of information exchange (the original Web architecture) that has evolved and ...
Web and Cloud Based Security
This module will teach the principles of security in web and cloud based systems and how these principles apply in a range of different applications.
Year 4 modules
You must study the following modules in year 4:
Group Design Project
This module provides an introduction to intensive group project work in collaboration with an industrial or academic customer. Students work in groups of at least four people on a project typically based on an idea from an industrial partner, or from an a...
Industrial Studies
This Industrial Studies module is part of our MEng programmes with “Industrial Studies” in the title, and allows students to go on to a one-year placement in industry in Part III of their programme. Students are normally expected start their placement...
Software Security
This module focuses on both theoretical and practical perspectives in the security of software and software systems, by exploring software analysis and reverse engineering. The aims of the module at a high level are to: - Explore common threats to ...
You must also choose from the following modules in year 4:
Advanced Games Design and Development
This module extends the topics covered in the Game Design and Development module by looking at games design that uses more complex technology, or is situated in novel contexts. Students will get further practical experience of developing games within an i...
Advanced Machine Learning
- To introduce key concepts in pattern recognition and machine learning; including specific algorithms for classification, regression, clustering and probabilistic modeling. - To give a broad view of the general issues arising in the application of algor...
Advanced Programming Language Concepts
This module covers concepts in programming languages that go beyond those typically seen or are new to mainstream languages. The goal is to encourage students to look beyond traditional programming practice by introducing new tools and techniques inspired...
Algorithmic Game Theory
This module: - Introduces the students to the key issues of interaction of multiple self-interested parties (a.k.a. agents) and gives a broad survey of topics at the interface of theoretical computer science and game theory dealing with such interactions...
Automated Software Verification
This module aims to train students in both the principles and the practice of software verification. A range of verification approaches, including both testing and formal verification, will be covered. The use of logic as a specification language for prog...
Bayesian, Active & Reinforcement Learning
To gain an in-depth theoretical and practical understanding of Bayesian inference and active learning, and their applications.
Biometrics
Biometrics is about how we can recognise people automatically, by personal characteristic. We all have fingerprints and faces - and they are unique. We have to sense the information, process it and then deliver an assessment of the identity associated wit...
Cryptography
This module covers the mathematics, techniques, and applications of modern cryptography. We will look at the history of code making and code breaking, and draw lessons for the future from the mistakes and successes of the past. We will also give a gentle ...
Data Economy
This module studies how data is generated, valued, and monetised within digital ecosystems, as well as the ethical, legal, and technical challenges surrounding data ownership, privacy, and regulation. For example, how can we manage a music dataset pro...
Data Mining
The challenge of data mining is to transform raw data into useful information and actionable knowledge. Data mining is the computational process of discovering patterns in data sets involving methods at the intersection of artificial intelligence, machine...
Data Visualisation
Welcome to the Data Visualisation module! In this course, you would learn about the terminology, concepts and techniques behind visualising data, and will get to use a range of tools to get experience of creating visual representations of data. You will g...
Deep Learning Technologies
Deep learning has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of massively parallel compute coupled with l...
Differentiable Programming and Deep Learning
Deep learning and differentiable programming has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of cheap GPGP...
Digital Forensics
We will study the tools and techniques used in digital forensics and its relevance to incident responses and criminal investigations. This will include: Network Traffic, Disk and Memory Forensics, Hardware Architectures, Forensics frameworks, Attributions...
Evolution of Complexity
Evolution by natural selection has created amazingly complex and sophisticated solutions to some very difficult problems - how exactly does it achieve this, and how can we harness this capability for engineering artificial systems and computational proble...
Image Processing
This module is useful to introduce: - Image processing and its relation to signal processing. - Image transformations for filtering, coding and etc. - Histogram processing algorithms to enhance image qualities and visibility. - Theories analysing and ...
Individual Research Project
The Individual Research Project is a 7.5 ECTS credit masters level module undertaken by independent study that allows students to demonstrate mastery of an advanced aspect of their discipline, including critical evaluation of current research and research...
Intelligent Agents
This module gives a broad introduction to the new and rapidly expanding field of agent-based computing. It introduces the key concepts and models of the field, dealing both with the individual agents and with their interactions. Particular emphasis is pla...
Intelligent Mobile Robotics
This module teaches the theory and practice of robotic perception and reasoning needed for mobile autonomous vehicles to operate in dynamic, unstructured environments across land, sea and air. You will learn probabilistic methods so that robots can self-l...
Knowledge Graphs for AI Systems
The last decade and a half have seen the Web move away from a purely document-centric information system to one in which hypertext techniques are applied to the sort of data found in databases; the term “Semantic Web” is used to refer to this Web of linke...
Optimisation for Machine Learning
This module is about the fundamentals of algorithms solving continuous optimisation problems, which involve minimising functions of multiple real-valued variables, possibly subject to restrictions, constraints, and nondifferentiable regularisations on the...
Probability in Computing
Computer Science has evolved significantly over the past decades, and various subfields require a strong foundation in probability. Such fondation is important in studying randomized algorithms, algorithm analysis, approximation algorithms and artificial ...
Simulation Modelling for Computer Science
Simulation modelling plays an increasingly significant role across modern science and engineering, with the development of computational models becoming established practice in industry, consulting, and policy formulation. Computer scientists are often em...
Social Media and Network Science
The second generation of web sites that came along in the mid 2000's included many of the social media sites that are now household names (YouTube, Flickr, Wikipedia, Facebook, Blogger, Twitter, etc.) These sites (known at the time as Web 2.0) focused on ...
Software Project Management and Secure Development
This module prepares students to develop an understanding of the critical issues and application of software project management. It introduces the students to the tools, techniques and body of knowledge involved in each stage of the project management lif...
Software Security
This module focuses on both theoretical and practical perspectives in the security of software and software systems, by exploring software analysis and reverse engineering. The aims of the module at a high level are to: - Explore common threats to ...
Wireless Networks
This course is intended to give students an outline of how wireless communication and computer networks work "above the physical layer". This includes the interoperability of wireless networks such as WiMax/GPRS and WiFi to provide WiFi on trains etc. How...
Learning and assessment
The learning activities for this course include the following:
- lectures
- classes and tutorials
- coursework
- individual and group projects
- independent learning (studying on your own)
Course time
How you'll spend your course time:
Year 1
Study time
Your scheduled learning, teaching and independent study for year 1:
How we'll assess you
- coursework, laboratory reports and essays
- design and problem-solving exercises
- individual and group projects
- oral presentations
- written and practical exams
Your assessment breakdown
Year 1:
Year 2
Study time
Your scheduled learning, teaching and independent study for year 2:
How we'll assess you
- coursework, laboratory reports and essays
- design and problem-solving exercises
- individual and group projects
- oral presentations
- written and practical exams
Your assessment breakdown
Year 2:
Year 3
Study time
Your scheduled learning, teaching and independent study for year 3:
How we'll assess you
- coursework, laboratory reports and essays
- design and problem-solving exercises
- individual and group projects
- oral presentations
- written and practical exams
Your assessment breakdown
Year 3:
Year 4
Study time
Your scheduled learning, teaching and independent study for year 4:
How we'll assess you
- coursework, laboratory reports and essays
- design and problem-solving exercises
- individual and group projects
- oral presentations
- written and practical exams
Your assessment breakdown
Year 4:
Academic support
You’ll be supported by a personal academic tutor and have access to a senior tutor.
Course leader
Nicholas Gibbins is the course leader.
Careers and employability
Employability skills
This degree will allow you to develop and evidence subject-specific and targeted employability skills. This includes the required skill set for a range of future careers, further study, or starting your own business.
The skills you can expect to focus on and gain from this course include:
- Research
- Critical thinking
- Commercial awareness
- Self-management
- Confidence
- Leadership
- Communication
- Teamwork
- Creativity
- Networking
- EDI leadership
- Adaptability
- Problem solving
- Resilience
The employability and enterprise skills you'll gain from this course are reflected in the Southampton skills model. When you join us you'll be able to use our skills model to track, plan, and benefit your career development and progress.
Download skills overview
Career pathways
Graduates commonly work in a range of organisations or sectors including:
Information and Communication,
Manufacturing,
Education,
Finance and Insurance,
Public Administration and Defence,
Scientific and Technical.
- Computer scientist
- Data scientist
- Software engineer
- Software developer
- Cyber security engineer
- Technical consultant
- Technology analyst
- Web developer
- Game developer
- Systems engineer
- Software developer
- Data scientist
- IT project manager
- University lecturer
- Patent attorney
- IT consultant
- Investment banker
- Technical sales manager
- Cyber security specialist
- Software engineer
- Software developer
- Computer scientist
- Technical consultant
- Data scientist
- Machine learning engineer
- Game programmer
- Business development engineer
- Cyber security consultant
- Process engineer
Job prospects for MEng Computer Science graduates
*Example graduate job titles and job prospect statistics taken from The Graduate Outcomes Survey, which gathers information about the activities and perspectives of graduates 15 months after finishing their course.
Work experience opportunities
Choosing to do work experience is a great way to enhance your employability, build valuable networks, and evidence your potential. Learn about the different work and industry experience options at Southampton.
Careers services and support
We are a top 20 UK university for employability (QS Graduate Employability Rankings 2022). Our Careers, Employability and Student Enterprise team will support you. This support includes:
- work experience schemes
- CV and interview skills and workshops
- networking events
- careers fairs attended by top employers
- a wealth of volunteering opportunities
- study abroad and summer school opportunities
We have a vibrant entrepreneurship culture and our dedicated start-up supporter, Futureworlds, is open to every student.
Your career ideas and graduate job opportunities may change while you're at university. So it is important to take time to regularly reflect on your goals, speak to people in industry and seek advice and up-to-date information from Careers, Employability and Student Enterprise professionals at the University.
Fees, costs and funding
Tuition fees
Fees for a year's study:
- UK students pay £9,535.
- EU and international students pay £29,400.
What your fees pay for
Your tuition fees pay for the full cost of tuition and standard exams.
Find out how to:
Accommodation and living costs, such as travel and food, are not included in your tuition fees. There may also be extra costs for retake and professional exams.
Explore:
Bursaries, scholarships and other funding
If you're a UK or EU student and your household income is under £36,200 a year, you may be able to get a University of Southampton bursary to help with your living costs. Find out about bursaries and other funding we offer at Southampton.
If you're a care leaver or estranged from your parents, you may be able to get a specific bursary.
Get in touch for advice about student money matters.
Scholarships and grants
You may be able to get a scholarship or grant to help fund your studies.
We award scholarships and grants for travel, academic excellence, or to students from under-represented backgrounds.
Support during your course
The Student Hub offers support and advice on money to students. You may be able to access our Student Support fund and other sources of financial support during your course.
Funding for EU and international students
Find out about funding you could get as an international student.
How to apply
What happens after you apply?
We will assess your application on the strength of your:
- predicted grades
- academic achievements
- personal statement
- academic reference
We'll aim to process your application within 2 to 6 weeks, but this will depend on when it is submitted. Applications submitted in January, particularly near to the UCAS equal consideration deadline, might take substantially longer to be processed due to the high volume received at that time.
Equality and diversity
We treat and select everyone in line with our Equality and Diversity Statement.
Got a question?
Please contact our enquiries team if you're not sure that you have the right experience or qualifications to get onto this course.
Email: enquiries@southampton.ac.uk
Tel: +44(0)23 8059 5000
Related courses
Computer Science with Artificial Intelligence (MEng) is a course in the Computer science and software engineering subject area. Here are some other courses within this subject area:
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- A missing link between continental shelves and the deep sea: Have we underestimated the importance of land-detached canyons?
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- Antibiotic resistance genes in chalk streams
- Being autistic in care: Understanding differences in care experiences including breakdowns in placements for autistic and non-autistic children
- Biogeochemical cycling in the critical coastal zone: Developing novel methods to make reliable measurements of geochemical fluxes in permeable sediments
- Bloom and bust: seasonal cycles of phytoplankton and carbon flux
- British Black Lives Matter: The emergence of a modern civil rights movement
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- Building-resolved large-eddy simulations of wind and dispersion over a city scale urban area
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- Carbon storage in reactive rock systems: determining the coupling of geo-chemo-mechanical processes in reactive transport
- Cascading hazards from the largest volcanic eruption in over a century: What happened when Hunga Tonga-Hunga Ha’apai erupted in January 2022?
- Characterisation of cast austenitic stainless steels using ultrasonic backscatter and artificial intelligence
- Climate Change effects on the developmental physiology of the small-spotted catshark
- Climate at the time of the Human settlement of the Eastern Pacific
- Collaborative privacy in data marketplaces
- Compatibility of climate and biodiversity targets under future land use change
- Cost of living in modern and fossil animals
- Creative clusters in rural, coastal and post-industrial towns
- Deep oceanic convection: the outsized role of small-scale processes
- Defect categories and their realisation in supersymmetric gauge theory
- Defining the Marine Fisheries-Energy-Environment Nexus: Learning from shocks to enhance natural resource resilience
- Design and fabrication of next generation optical fibres
- Developing a practical application of unmanned aerial vehicle technologies for conservation research and monitoring of endangered wildlife
- Development and evolution of animal biomineral skeletons
- Development of all-in-one in-situ resource utilisation system for crewed Mars exploration missions
- Ecological role of offshore artificial structures
- Effect of embankment and subgrade weathering on railway track performance
- Efficient ‘whole-life’ anchoring systems for offshore floating renewables
- Electrochemical sensing of the sea surface microlayer
- Engagement with nature among children from minority ethnic backgrounds
- Enhancing UAV manoeuvres and control using distributed sensor arrays
- Ensuring the Safety and Security of Autonomous Cyber-Physical Systems
- Environmental and genetic determinants of Brassica crop damage by the agricultural pest Diamondback moth
- Estimating marine mammal abundance and distribution from passive acoustic and biotelemetry data
- Evolution of symbiosis in a warmer world
- Examining evolutionary loss of calcification in coccolithophores
- Explainable AI (XAI) for health
- Explaining process, pattern and dynamics of marine predator hotspots in the Southern Ocean
- Exploring dynamics of natural capital in coastal barrier systems
- Exploring the mechanisms of microplastics incorporation and their influence on the functioning of coral holobionts
- Exploring the potential electrical activity of gut for healthcare and wellbeing
- Exploring the trans-local nature of cultural scene
- Facilitating forest restoration sustainability of tropical swidden agriculture
- Faulting, fluids and geohazards within subduction zone forearcs
- Faulting, magmatism and fluid flow during volcanic rifting in East Africa
- Fingerprinting environmental releases from nuclear facilities
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- Floating hydrokinetic power converter
- Glacial sedimentology associated subglacial hydrology
- Green and sustainable Internet of Things
- How do antimicrobial peptides alter T cell cytokine production?
- How do calcifying marine organisms grow? Determining the role of non-classical precipitation processes in biogenic marine calcite formation
- How do neutrophils alter T cell metabolism?
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- Hydrant dynamics for acoustic leak detection in water pipes
- If ‘Black Lives Matter’, do ‘Asian Lives Matter’ too? Impact trajectories of organisation activism on wellbeing of ethnic minority communities
- Illuminating luciferin bioluminescence in dinoflagellates
- Imaging quantum materials with an XFEL
- Impact of neuromodulating drugs on gut microbiome homeostasis
- Impact of pharmaceuticals in the marine environment in a changing world
- Improving subsea navigation using environment observations for long term autonomy
- Information theoretic methods for sensor management
- Installation effect on the noise of small high speed fans
- Integrated earth observation mapping change land sea
- Interconnections of past greenhouse climates
- Investigating IgG cell depletion mechanisms
- Is ocean mixing upside down? How mixing processes drive upwelling in a deep-ocean basin
- Landing gear aerodynamics and aeroacoustics
- Lightweight gas storage: real-world strategies for the hydrogen economy
- Machine learning for multi-robot perception
- Machine learning for multi-robot perception
- Marine ecosystem responses to past climate change and its oceanographic impacts
- Mechanical effects in the surf zone - in situ electrochemical sensing
- Microfluidic cell isolation systems for sepsis
- Migrant entrepreneurship, gender and generation: context and family dynamics in small town Britain
- Miniaturisation in fishes: evolutionary and ecological perspectives
- Modelling high-power fibre laser and amplifier stability
- Modelling soil dewatering and recharge for cost-effective and climate resilient infrastructure
- Modelling the evolution of adaptive responses to climate change across spatial landscapes
- Nanomaterials sensors for biomedicine and/or the environment
- New high-resolution observations of ocean surface current and winds from innovative airborne and satellite measurements
- New perspectives on ocean photosynthesis
- Novel methods of detecting carbon cycling pathways in lakes and their impact on ecosystem change
- Novel technologies for cyber-physical security
- Novel transparent conducting films with unusual optoelectronic properties
- Novel wavelength fibre lasers for industrial applications
- Ocean circulation and the Southern Ocean carbon sink
- Ocean influence on recent climate extremes
- Ocean methane sensing using novel surface plasmon resonance technology
- Ocean physics and ecology: can robots disentangle the mix?
- Ocean-based Carbon Dioxide Removal: Assessing the utility of coastal enhanced weathering
- Offshore renewable energy (ORE) foundations on rock seabeds: advancing design through analogue testing and modelling
- Optical fibre sensing for acoustic leak detection in buried pipelines
- Optimal energy transfer in nonlinear systems
- Optimal energy transfer in nonlinear systems
- Optimizing machine learning for embedded systems
- Oxidation of fossil organic matter as a source of atmospheric CO2
- Partnership dissolution and re-formation in later life among individuals from minority ethnic communities in the UK
- Personalized multimodal human-robot interactions
- Preventing disease by enhancing the cleaning power of domestic water taps using sound
- Quantifying riparian vegetation dynamics and flow interactions for Nature Based Solutions using novel environmental sensing techniques
- Quantifying the response and sensitivity of tropical forest carbon sinks to various drivers
- Quantifying variability in phytoplankton electron requirements for carbon fixation
- Resilient and sustainable steel-framed building structures
- Resolving Antarctic meltwater events in Southern Ocean marine sediments and exploring their significance using climate models
- Robust acoustic leak detection in water pipes using contact sound guides
- Silicon synapses for artificial intelligence hardware
- Smart photon delivery via reconfigurable optical fibres
- The Gulf Stream control of the North Atlantic carbon sink
- The Mayflower Studentship: a prestigious fully funded PhD studentship in bioscience
- The calming effect of group living in social fishes
- The duration of ridge flank hydrothermal exchange and its role in global biogeochemical cycles
- The evolution of symmetry in echinoderms
- The impact of early life stress on neuronal enhancer function
- The oceanic fingerprints on changing monsoons over South and Southeast Asia
- The role of iron in nitrogen fixation and photosynthesis in changing polar oceans
- The role of singlet oxygen signaling in plant responses to heat and drought stress
- Time variability on turbulent mixing of heat around melting ice in the West Antarctic
- Triggers and Feedbacks of Climate Tipping Points
- Uncovering the drivers of non-alcoholic fatty liver disease progression using patient derived organoids
- Understanding recent land-use change in Snowdonia to plan a sustainable future for uplands: integrating palaeoecology and conservation practice
- Understanding the role of cell motility in resource acquisition by marine phytoplankton
- Understanding the structure and engagement of personal networks that support older people with complex care needs in marginalised communities and their ability to adapt to increasingly ‘digitalised’ health and social care
- Unpicking the Anthropocene in the Hawaiian Archipelago
- Unraveling oceanic multi-element cycles using single cell ionomics
- Unravelling southwest Indian Ocean biological productivity and physics: a machine learning approach
- Using acoustics to monitor how small cracks develop into bursts in pipelines
- Using machine learning to improve predictions of ocean carbon storage by marine life
- Vulnerability of low-lying coastal transportation networks to natural hazards
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