Since the inception of the web, there have been two major developments: social and collaborative applications, and the semantic web. You will explore these through core modules, web technology and your own social and collaborative websites.
You will have the opportunity to study mark-up languages, such as XML, XSL, and RDF; their applications in e-business and web services; and related topics such as:
- interaction design
- distributed computing systems
View the 2018/19 programme specification document for this course
The programme has been designed to maximise choice by allowing you to tailor the structure to suit your own interests. You can choose areas that reflect your personal interests and work on an individual project.
You will, as part of the MSc also take a number of compulsory modules to ensure you are exposed to key topics in all areas.
PLEASE NOTE: This programme is not recruiting for entry in 2019
You can apply for the programme through the University of Southampton's online postgraduate application system. Visit our how to apply pages for more information. Please note that we belong to the Faculty of Physical Sciences and Engineering (FPSE).
The deadline for new applications to this course is 31 July each year.
Southampton University has pioneered many of the most important advances in computer science and web technology of the past 10 years
We are in the top 10% in the UK for the volume and quality of our Computer Science research (REF 2014)
100% of our Computer Science research impact is world-leading or internationally excellent (REF 2014)
Southampton is ranked in the top 100 universities for Computer Science in the 2018 QS World Rankings, and top 10 in the UK
We are in the UK top ten for Computer Sciences (Guardian University Guide, 2019)
Southampton is a University Partner of The Alan Turing Institute, the UK’s national institute for data science and artificial intelligence
We are one of only 14 universities recognised as an Academic Centre of Excellence in Cyber Security Research by the UK Government and our academics have played a leading role in establishing a European Data Science Academy