About this course
Explore the life cycle of software engineering projects and study exciting, specialist topics. On this 4-year master's, you'll learn how to analyse a company’s software needs, then design, test and build a system that meets them. You’ll also develop the problem-solving, planning and teamwork skills that are essential for successful software engineers.
This MEng Software Engineering degree combines hands-on software development with a core knowledge of software engineering. You'll study cutting-edge areas like:
- programming
- software modelling
- distributed systems and networks
- automated code development
- e-business strategy
- web development
You don’t need any previous experience in computer science to join the course. For the first programming module you can choose your own level, and if you are a beginner, we can help you get up to speed.
Our main computer lab has over 100 high-spec computer workstations and acts as the department’s social hub. You'll have access to our dedicated facilities, including:
- software projects laboratory
- David Barron computing laboratory
- cyber security laboratory
- centre for hybrid biodevices
Our academics are recognised internationally as leaders in their fields of expertise.
As part of this course, you can choose to spend a single semester studying abroad.
This course is accredited by the British Computer Society (BCS) and 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.
We are also a member of The Alan Turing Institute, the UK's national institute for data science and artificial intelligence.
Year in industry
Enhance your employability by taking this course with a paid industrial studies placement year.
Apply using:
- Course name: Software Engineering with Industrial Studies
- UCAS code: II30
You'll spend this extra year at one of our partner companies, applying the skills and knowledge you've learned so far.
The fee is 20% of the standard annual tuition fee.
As a research-led University we undertake a continuous review of our courses to ensure quality enhancement and to manage our resources. As a result, this course may be revised however, 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.
Learn more about this subject area
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 202425
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 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, as follows: AAA 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
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.
RQF BTEC
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 Leaving Certificate (first awarded 2016)
A1 A1 A1 A2 A2 A2 including 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
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
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 isn't your first language, you'll need to complete an International English Language Testing System (IELTS) to demonstrate your competence in English. You'll need all of the following scores as a minimum:
IELTS score requirements
- overall score
- 6.5
- reading
- 6.0
- writing
- 6.0
- speaking
- 6.0
- listening
- 6.0
We accept other English language tests. Find out which English language tests we accept.
You might meet our criteria in other ways if you do not have the qualifications we need. Find out more about:
- our Access to Southampton 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.
Foundation year for engineering, physics, maths and geophysics
A foundation year will give you the skills and knowledge to progress to this course if you don't have the right qualifications for direct entry.
It could be the right option if you:
- have A levels, or equivalent international qualifications, in subjects other than the ones needed for direct entry
- have international qualifications in relevant subjects but not at A level equivalent
- have a BTEC Extended Diploma in a relevant subject
- are studying an Access course in a relevant subject
- are a mature student with relevant experience or study
You'll also need to show that you have strong maths skills.
Find full details on our Engineering, Maths, Physics, Geophysics Foundation Year page.
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
You'll take compulsory modules in the first 2 years. In years 3 and 4 you’ll complete individual and group design projects and choose from a range of optional modules.
Our flexible learning programme lets you take interdisciplinary modules or modules from other subjects. There’s also the opportunity to broaden your studies beyond Software Engineering. For example, you could:
- study a language
- take modules from other disciplines, such as management or law
- choose from a range of innovative interdisciplinary modules
Year 1 overview
You’ll study core topics such as:
- programming
- data management
- software modelling and design
You’ll also cover the foundations of computer science to underpin your studies.
Year 2 overview
You’ll deepen your understanding of software engineering by studying topics, like:
- intelligent systems
- software design
- interaction design
A group project will let you work as a team to design, create and test a software system. It will give you practical experience and an awareness of technical, teamwork and project management challenges.
Year 3 overview
You’ll carry out an individual project in an area of software engineering that interests you. An academic, who is conducting research in that field, will provide support throughout.
A compulsory module in engineering management and law will teach you important skills for the successful operations of an organisation.
You’ll choose from a range of specialist Software Engineering modules, from across computer science and electronics. These will give you a deeper knowledge and let you explore topics such as:
- robotic systems
- machine learning
- cyber security
- computer vision
Year 4 overview
The group-design project is a fantastic opportunity to put your skills into practice, working for a real industry or academic customer. Past students have worked on:
- low-cost networking for small cabinets or backplane circuit boards, for Schneider Electric
- a long-range boat tracker for a sailing club
- a dashboard that monitors the condition of industrial printers linked to the 'internet of things'.
You’ll choose 2 advanced modules from a wide range of specialist options. They include topics such as:
- automated code generation
- e-business
- web development
- biometrics
- deep learning
You can also choose 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.
Year 1 modules
You must study the following modules in year 1:
Algorithmics
This is a core module for computer science and software engineers. It 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...
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: - Explain the role of database systems in information management - Introduce students to standard UNIX tools and techniques (e.g., vi editor, ed, sed and awk) - Develop the student's skills in the effective use of Unix tools for do...
Foundations of Computer Science
Professional Development
The aim of this module is to help students develop an understanding of the fundamental professional, ethical, and legal issues and how they are being developed and applied. The lectures and associated courseworks will involve an active approach to the ...
Programming 2
The aim of this module is to teach the students advanced programming techniques using Java in order to support its use on other modules. C will also be taught in order to introduce explicit memory allocation and the use of pointers.
Programming I
This module aims to introduce students to the principles of programming using an object oriented approach, and to provides them with the programming skills necessary to continue the study of computer science. Java is used as the introductory language.
Software Modelling and Design
This module aims to introduce students to the software engineering process, its tools, skills, and techniques, particularly modelling, validation and design. The focus will be on a principled, object-oriented process from requirements modelling and analys...
Year 2 modules
You must study the following modules in year 2:
Advanced Software Modelling and Design
This module builds on the Part 1 Software Modelling and Design Course by looking at structured requirements engineering in more detail, by addressing scaling of formal modelling with Event-B through refinement and also looking at verification techniques f...
Distributed Systems and Networks
The networking aspect of this module will expose students to the principles of layered communication protocols, the architecture of the Internet, and the principles of how the components of the TCP/IP layered model are designed and operate. The distribute...
Intelligent Systems
This module aims to give a broad introduction to the rapidly-developing field of artificial intelligence, and to cover the mathematical techniques used by this module and by other artificial intelligence modules in the computer science programme
Interaction Design
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
The aim of this module is 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 orde...
Software Engineering Group Project
This module aims to give students experience of working in a team, and of the problems of communication and scale in software engineering. It will consolidate and integrate the techniques and concepts introduced in earlier courses (principally COMP1216 So...
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:
Engineering Management and Law
This module will provide students with an introduction to management and law – knowledge and skills which can be applied to the operations of an engineering-based organisation. The learning outcomes address: managerial decisions, commercial aspects of eng...
Part III Individual Project
The 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 enginee...
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
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...
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
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
Web Architecture and Hypertext Technologies
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 module in year 4:
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
Biologically Inspired Robotics
This module lies at the intersection of robotics and biology. Through the abstraction of design principles from biological systems, it is possible to develop a range of core competences, including mechatronic systems, sensor and actuator technologies. By ...
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...
Computational Finance
Financial markets form the source of a vast number of challenging computational problems. These are not only intellectually challenging from the point of view of computational modelling, but the financial sector is also an employer of a significant fracti...
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 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...
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...
Open Data Innovation
Open data, pitched as the raw material of the new industrial revolution, holds great promise, but how do you exploit this new resource? This course is specifically designed to give students a greater understanding on how to innovate with open data. This ...
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 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 exams
Your assessment breakdown
Year 2:
Academic support
You’ll be supported by a personal academic tutor and have access to a senior tutor.
Course leader
Corina Cirstea is the course leader.
Careers
Software engineers are in demand in a wide range of sectors, especially those that rely on IT. This gives you plenty of career opportunities, so you could work in:
- technology companies
- consultancies
- healthcare
- government intelligence
- financial services
You’ll graduate with the technical and transferable skills needed for roles such as:
- software engineer
- software developer
- app designer
- web developer
- IT solutions analyst
You could work for a technology firm, become an IT consultant, or take forward IT developments within companies and organisations across the private and public sector.
You could also continue your studies at PhD level.
Most of our graduates go straight into jobs in high-tech companies. Electronics and Computer Science students have secured roles at companies including:
- Apple
- BAE Systems
- BBC
- Huawei
- IBM
- Microsoft
- Samsung
- Sony
Careers services at Southampton
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.
Work in industry
We offer this degree with a year in industry, which is a great way to gain substantial industry experience, boost your professional skills and grow your networks. For international students, it is the only way to spend a year working in the UK and build contacts that could lead to employment here when you graduate.
We can help you find placements and employment with local, national and international employers.
Fees, costs and funding
Tuition fees
Fees for a year's study:
- UK students pay £9,250.
- EU and international students pay £27,400.
What your fees pay for
Your tuition fees pay for the full cost of tuition and all examinations.
Find out how to:
Accommodation and living costs, such as travel and food, are not included in your tuition fees. Explore:
Bursaries, scholarships and other funding
If you're a UK or EU student and your household income is under £25,000 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 Services Centre 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
When you apply use:
- UCAS course code: G600
- UCAS institution code: S27
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
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- Business studies and management: human resources (HR) management and organisational behaviour
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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
- Flexible hybrid thermoelectric materials for wearable energy harvesting
- 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?
- How well can we predict future changes in biodiversity using machine learning?
- 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
- Impacts of environmental change on coastal habitat restoration
- 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
- Inverse simulation: going from camera observations of a deformation to material properties using a new theoretical approach
- 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
- Long-term change in the benthos – creating robust data from varying camera systems
- 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
- Wideband fibre optical parametric amplifiers for Space Division Multiplexing technology
- Will it stick? Exploring the role of turbulence and biological glues on ocean carbon storage
- X-ray imaging and property characterisation of porous materials
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