What do you need to get in?
Main entry requirements
Mathematics at grade A.
Mathematics at grade A.
If your qualifications aren’t listed here, you can use our UCAS points guide of 152 and refer to the university’s website for full details of all entry routes and requirements.
% applicants receiving offers89%
Provided by UCAS, this is the percentage of applicants who were offered a place on the course last year. Note that not all applicants receiving offers will take up the place, so this figure is likely to differ from applicants to places.
Tuition fee & financial support£9,250
Maximum annual fee for UK students. NHS-funded, sandwich or part-time course fees may vary.
If you live in:
- Scotland and go to a Scottish university, you won’t pay tuition fees
- Northern Ireland and go to an NI uni, you’ll pay £3,805 in tuition fees
- Wales you’ll pay £3,810 in fees and get a tuition fee grant to cover the rest
Every degree course is different, so it’s important to find one that suits your interests and matches the way you prefer to work – from the modules you’ll be studying to how you’ll be assessed. Top things to look for when comparing courses
With the same structure and content as our BSc Computer Science (G400) in years one and two, the MEng provides additional breadth and depth of study, including a wide choice of advanced technical options. It prepares you for the next generation of systems and software by exploring hot research topics such as complexity theory, social media technology or biologically inspired robotics. In the fourth year you will take part in a group design project, working with a real industry customer or solving challenging problems through the imaginative application of technology. This programme is also available with a year in industry. All Computer Science and Software Engineering programmes at MEng level are accredited by the British Computer Society, which allows you to achieve Chartered Engineer status is the shortest time.
Year 1: programming 1; computer systems 1; data management; foundations of computer science; algorithmics; professional development; programming 2; software modelling and design; personal tutorial. Year 2: computational systems; human-computer interaction; software analysis and design; operating systems; theory of computing; professional and legal issues; database systems; distributed computing; communications and networks; compiler engineering; software engineering group project; artificial intelligence. Year 3: management 1; scripting languages; principles of computer graphics; interactive multimedia systems; hypertext and web technologies; e-business techniques; intelligent algorithms; computational biology; security and information technology; industrial law for engineers 1; operational research; computer vision; real-time computing and embedded systems; machine learning; software quality assurance and project management; advanced computer networks; critical systems; advanced databases; large scale distributed systems; advanced computer architecture; new venture planning; elearning and learning technology; industrial law for engineers 2; management 2; individual project a and b; Chinese language stage 1 for engineers; Chinese for engineers stage 2; French for engineers; French language stage 3 for engineers; French language stage 4 for engineers; German for engineers; German language for engineers stage 6; German language for engineers stage 3; German language for engineers stage 4; German language stage 5 for engineers; Italian for engineers stage 4; Spanish for engineers; Spanish for engineers stage 4; Spanish for engineers stage 3; French language stage 5 for engineers. Year 4: group project a; enterprise web development; advanced topics on web services; evolution of complexity; types and programming languages; advanced web development; wireless networks; assistive technologies and universal design; applications of security in information technology; internet law: e-commerce; numerical methods; statistics for engineering systems; individual research project b; formal design of systems; intelligent agents; semantic web technologies; from aspect-oriented programming to program generation; advanced machine learning; social networking technologies; advanced computer vision; cryptography; biologically-inspired robotics (a); e-business strategy; rich internet applications; internet law: privacy, crime and security.
The University of Southampton is a place of transformation. Through education and research, innovation and enterprise, we unlock creative potential and provide opportunities that transform the lives of our students, our community, society and the economy. Did you know...Sir Tim Berners-Lee, inventor of the World Wide Web, is Chair of Computer Science here.
How you'll spend your time
|Year 1||Year 2||Year 3||Year 4|
|Lectures / seminars||30%||29%||21%||22%|
- Lectures / seminars
- Independent study
How you'll be assessed
|Year 1||Year 2||Year 3||Year 4|
- Written exams
- Practical exams
What do the numbers say for
Where there isn’t enough reliable data about this specific course, we’ve shown aggregated data for all courses at this university within the same subject area
What do students think about this subject here?
Here's how satisfied past students were – useful to refer to when you’re narrowing down your options. Our student score makes comparisons easier, showing whether satisfaction is high, medium or low compared to other unis.
Start building a picture of who you could be studying with by taking a look at the profile of people that have studied this subject here in previous years.
UK / Non-UK
Male / Female
Full-time / Part-time
Typical Ucas points
2:1 or above
Most popular subjects students studied before attending
Here's an idea of the academic background of students from previous years, to give you a flavour of the type of people who take this subject.
What are graduates doing after six months?
Here’s what students are up after they graduate from studying this subject here. We’ve analysed the employment rate and salary figures so you can see at a glance whether they’re high, typical or low compared to graduates in this subject from other universities. Remember the numbers are only measured only six months after graduation and can be affected by the economic climate - the outlook may be different when you leave uni. What do graduate employment figures really tell you?