Whether it's the computers in our offices, the smartphones in our pockets, the electrics in our cars or the technology that enables us to monitor patients in critical care, software is at the heart of our society. This MSc programme focuses on advanced theoretical and practical techniques in program design, and the management of software project risk.
This programme will:
We have a new MSc Software Engineering and Security pathway to the MSc Software Engineering degree. If you are interested in this pathway, you need to apply for the MSc Software Engineering programme and take the pre-requisite modules and then you would be able to graduate with the MSc Software Engineering and Security.
Security, authentication and identity management have grown substantially in importance in recent years, and there is significant demand in both the commercial and national/local government sectors for software engineers with a good grasp of these areas hence introducing a pathway in Security.
NB: Students will need to take and pass the following modules in order to be eligible for the pathway title MSc in Software Engineering with Security.
ECS726P - Security and Authentication (semester 2)
ECS760 - Distributed Systems and Security semester 2)
ECS715P - Program Specifications (semester 1)
ECS737P - Software Analysis and Verification (semester 2)
ECS738 - Bayesian Decision and Risk Analysis (semester 2)
Why study your MSc in Software Engineering at Queen Mary?
Our research-led approach
Your tuition will be delivered by field leading academics engaged in world class research projects in collaboration with industry, external institutions and research councils.
Our strong links with industry
MSc Software Engineering is currently available for one year full-time study, two years part-time study.
Undertaking a masters programme is a serious commitment, with weekly contact hours being in addition to numerous hours of independent learning and research needed to progress at the required level. When coursework or examination deadlines are approaching independent learning hours may need to increase significantly. Please contact the course convenor for precise information on the number of contact hours per week for this programme.
Part-time study options often mean that the number of modules taken is reduced per semester, with the full modules required to complete the programme spread over two academic years. Teaching is generally done during the day and part-time students should contact the course convenor to get an idea of when these teaching hours are likely to take place. Timetables are likely to be finalised in September but you may be able to gain an expectation of what will be required.
Important note regarding Part Time Study
We regret that, due to complex timetabling constraints, we are not able to guarantee that lectures and labs for part time students will be limited to two days per week, neither do we currently support any evening classes. If you have specific enquiries about the timetabling of part time courses, please contact the MSc Administrator
Semester 1 (Maximum of 4 modules to be taken in Semester 1)
Select at least one from:
Big Data Processing
Introduction to IOT
Semi-Structured Data and Advanced Data Modelling
Introduction to Object-Oriented Programming
Semester 2 (Maximum of 4 modules to be taken in Semester 2)
Select at least two from:
Real Time & Critical Systems
Interactive Systems Design
Software Analysis and Verification
Bayesian Decision and Risk Analysis
Further options from:
Security and Authentication
The Semantic Web
Advanced Object Oriented Programming