MSc and MRes Links
Director of Studies (Postgraduate)
Dr Fariba Sadri
Dr Fidelis Perkonigg
Coordinator (MCSS & MAC)
Dr Timothy Kimber
Senior Tutor (Postgraduate)
Dr Thomas Lancaster
Welcome to the Department of Computing at Imperial College London. We hope that you will have an enjoyable year with us, and that you will find your studies interesting and stimulating. On this page, you can find links to all the relevant information you will need throughout the year.
The slides used during the welcome presentation for each MSc can be downloaded using the following links:
- Welcome Talk MSc Advanced Computing 19-20
- Welcome Talk MSc Computing 19-20
- WelcomeTalk MSc Computing (Specialisms) 19-20
On the department literature and websites, you will come across various abbreviations for the different MSc courses which it will be useful to be familiar with.
- MCS: MSc Computing Science
- MCSS: MSc Computing Science (Specialisms)
- MAC: MSc Advanced Computing
Degree Classification Regulations
Information on the pass requirements for each course can be reached via the following links:
Each taught course has an assessed coursework component which counts for between 10% - 33% of your final mark for that course. (The norm is 20%; exceptions are listed in the Coursework contribution document) Please note that coursework deadlines are strict and late submissions without mitigating circumstances will be subject to mark capping, according to the Department's Late Submission Policy. If there are mitigating circumstances, these should be reported to the relevant degree coordinator. More information can be found under the Exams & Mitigating Circumstances tab. Course lecturers are not able to approve late submissions, grant deadline extensions etc.
The college and the department take the issue of plagiarism very seriously. Please do not engage in this practice. The college has policies on plagiarism and exam offences. A departmental FAQ on plagiarism can be obtained here.
Studying should be fun, but it can also be stressful and you will undoubtedly have to deal with non-academic challenges during your time at Imperial. The College offers a range of services to support the welfare and well-being of its students ranging from healthcare to financial advice and support. Your personal tutor can be a first point-of-call for any difficulties that arise during the course of your studies.
Course Structure and Timetables
- Timetables for each degree course are located here.
- Information on the structure of all the degree courses can be found here.
- The college term dates are available here.
MATLAB is used in several courses, in particular those related to machine learning. MCS students are given a short MATLAB course at the beginning of Term 2. If other masters students need to learn MATLAB you are recommended to look at the following online resources:
- Mathworks video collection (If you find that some of these videos are offline you may be able to find them on their youtube channel: https://www.youtube.com/channel/UCgdHSFcXvkN6O3NXvif0-pA. For example for a general introduction go to: https://www.youtube.com/watch?v=cLOdKEkuma0)
MSc Computing Science
Group Projects for the MCS course are selected at the end of the autum term, and run throughout the spring term. For more information, please visit the MSc Group Project homepage.
MSC COMPUTING (Software Engineering)
Individual Projects (All MSc)
All MSc courses contain an individual project which runs from the summer term, through to the end of the year. The MSc Individual Project homepage has more information. Projects are usually proposed by academics in the department, however you have the option of proposing your own. Projects in collaboration with industry are also possible, but such projects can sometimes be tricky to manage - please read this Industry-based MSc Projects (pdf) for more information.
Independent Study Option (MCSS and MAC)
If you are on the MCSS or MAC course, you have the option of replacing one of your lecture courses in the spring term with an Independent Study Option (ISO). This is a short course of directed reading and personal research carried out under the guidance of a supervisor, and is assessed by a dissertation and an oral presentation (viva). More information can be found on the ISO page.
Machine Learning Tutorial Series
In the (optional) Machine Learning Tutorial Series, external guest speakers will give tutorial lectures on focused machine learning topics. The target audience are undergraduates, MSc and PhD students, post-docs and interested faculty members. See http://wp.doc.ic.ac.uk/sml/teaching/ml-tutorials/
The department's Board of Examiners meets to approve examination results in June, after all exams have taken place and been marked. In early July you will be able to see a result in your personal examination results page (NOT in CATE). The result will give one of the following outcomes:
- Decision Deferred
If your result is 1,2 or 3 this indicates the final MSc degree for which you are being considered. Your final degree result will be the minimum of this exam result and your project result. So, for example, if you have a Merit on the exams and a Pass on the project your degree will be a Pass. If your result is one of 4, 5 or 6 you will be given further information at the time.
At this point of the course and until October there will be no marks, transcripts or certificates available.
Marks, transcripts an d certificates will be available after the completion of the course and final approval by the Board of Examiners and the College. This will be in mid-to-late October. All transcripts and certificates will come via the College Registry, and they will contact you when these are ready.