MSc Computing (Software Engineering)
Start date: October 2017
Location: South Kensington
ECTS: 90 credits
This course specialises in the application of engineering to the design, development, and maintenance of software.
About the course
This taught postgraduate course is aimed at students who may not have studied computing exclusively but who have studied a considerable amount of computing already.
If you want to become a specialist in a particular area of computing, this course will provide a first crucial step towards that goal.
This course specialises in the application of engineering to the design, development, and maintenance of software. Study areas include computational finance; computer networks and distributed systems; computer vision; computing for optimal decisions; custom computing; databases; distributed algorithms; distributed systems; graphics; intelligent data and probabilistic inference; and an introduction to bioinformatics.
We also offer specialisms in:
- Artificial Intelligence
- Computational Management
- Machine Learning
- Software Engineering
- Secure Software Systems
- Visual Computing and Robotics
Each specialism has a flexible mix of breadth and depth, consisting of two or three compulsory modules as well as choices from a selection of core and optional modules.
Modules shown are for the current academic year, and are subject to change depending on your year of entry. For more information about each module please see the Department of Computing's website.
- MSc Software Engineering Practice
- MSc Software Engineering Group Project
- Software Engineering for Industry
- MSc Computing Science (Specialist) Individual Project
You choose four to seven modules from below.
Courses marked * are half courses, and 2 half courses is equal to 1 full course.
- Advanced Databases
- Advanced Issues in Object Oriented Programming
- Dataflow Computing in Space*
- Information and Coding Theory
- Modal Logic*
- Privacy Enhancing Techniques*
- Separation Logic: Local Reasoning about Programs*
- Software Reliability
- Type Systems for Programming Languages
- Cryptography Engineering
- Distributed Algorithms
- Large Scale Data Management*
- Network and Web Security
- Performance Engineering*
- Pervasive Computing
- Scalable Distributed Systems Design*
- Systems Verification
You choose up to three modules from below.
- Computational Optimisation
- Computer Vision
- Dynamical Systems and Deep Learning
- Knowledge Representation
- Mathematics for Inference and Machine Learning
- Operations Research
- Quantum Computing
- Simulation and Modelling
- Advanced Computer Architecture
- Advanced Computer Graphics
- Advanced Statistical Machine Learning and Pattern Recognition
- Argumentation and Multi-agent Systems
- Computational Finance
- Custom Computing
- Data Analysis and Probabilistic Inference
- Independent Study Option
- Machine Learning
- Short Introduction to Prolog
Minimum academic requirement
2.1 Honours degree in a science or engineering discipline, including computing.
All applicants (UK, EU, Overseas) must provide Graduate Record Examination (GRE) scores for Quantitative Reasoning and Verbal Reasoning. As well as entering the scores on the application form, applicants must ask the GRE organisation to send validating certificates to the Department.
Only the first scores submitted will be considered. While there is no minimum requirement for GRE scores, a strong application would include scores higher than 159 for Quantitative Reasoning and higher than 145 for Verbal Reasoning.
The academic requirement above is for applicants who hold or who are working towards a UK qualification.
We also accept a wide variety of international qualifications. For guidance see our Country Index though please note that the standards listed here are the minimum for entry to the College.
If you have any questions about admissions and the standard required for the qualification you hold or are currently studying then please contact the relevant admissions team.
English language requirements
All candidates must demonstrate a minimum level of English language proficiency for admission to the College.
For admission to this course, you must achieve the standard College requirement in the appropriate English language qualification. For details of the minimum grades required to achieve this requirement, please see the English language requirements for postgraduate applicants.
Fees and funding
Home and EU students
Islands and overseas students
The level of tuition fees you pay is based on your fee status, which we assess based on UK government legislation.
If you are a Home or EU student who meets certain criteria, you can apply for a Postgraduate Master’s Loan of up to £10,000 from the UK government for programmes beginning in October 2016. The loan is not means-tested, and you can choose whether to put it towards your tuition fees or living costs.
Funding from Imperial
We offer a range of scholarships for postgraduate students to support you through your studies. Try our scholarships search tool to see what you might be eligible for.
For more information on the Postgraduate Master's Loan scheme and other funding opportunities that are available, please visit our Fees and Funding website.
How to apply
All applicants must apply online.
You can usually apply for up to two courses, although your second choice will only be considered if your first-choice application is unsuccessful.
Most courses don't have a formal closing date, but popular courses close when they are full, so you should apply early to avoid disappointment. There may also be funding deadlines that apply to you.
You will need to upload documents with your applications, which may include transcripts and degree certificates.
Offer holders will need to pay a deposit to secure your place. This will be deducted from the balance of your tuition fees.
For full details on the online application process, or to start your application, please visit the How to Apply section of our website.
An ATAS certificate is not required for overseas students applying for this course.
Find out more about the MSc in Computing (Software Engineering), including more detailed course content.