Section outline

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    General

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    This space is designed to give important information and updates to current students of the MSc Mathematics about their programme of study. 

    Programme Director: Dr Ian Morris

    Email: i.morris@qmul.ac.uk

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    Student Handbook

    The School of Mathematical Sciences (SMS) MSc Student Handbook is available below.   You should refer to the handbook for all information relating to your programme of study.

    The Student Handbook includes information on the requirements to obtain the MSc Mathematics degree as well as procedural information, such as what to do should you miss an assessment due to circumstances beyond your control.

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    Student handbooks from previous years

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    Programme Overview and Modules

    Programme overview

    MSc Mathematics students are required to take eight taught modules. An MSc taught module typically comprises 24 hours of lectures and 12 hours of tutorials, given during one of the two 12-week teaching semesters. Our currently offered MSc modules in mathematics and statistics are listed below.

    An MSc Mathematics student must also submit a project dissertation, which is completed during the summer.

    Modules

    Pure stream

    Semester A

    Choose one modules from:

    • MTH739P Topics in Scientific Computing
    • MTH766P Programming in Python

    Choose three modules from:

    • MTH722P Group Theory
    • MTH728P Partial Differential Equations
    • MTH727P Chaos and Fractals
    • SPA7027P Differential Geometry in Theoretical Physics

    Semester B

    Choose four modules from:

    • MTH750P Graphs and Networks
    • MTH784P Optimisation for Business Processes
    • MTH721P Algorithmic Graph Theory
    • MTH723P Metric Spaces and Topology
    • MTH725P Ring Theory
    • MTH726P Coding Theory

    Year-long

    One compulsory module:

    • MTHM038 MSc Project

    Statistics and Data Science stream

    Semester A

    Choose one modules from:

    • MTH739P Topics in Scientific Computing
    • MTH766P Programming in Python

    Choose three modules from:

    • MTH786P Machine Learning with Python
    • MTH7021P Applied Statistical Modelling
    • MTH728P Partial Differential Equations
    • MTH729P Random Processes

    Semester B

    Choose four modules from:

    • MTH741P Digital and Real Asset Analytics
    • MTH784P Optimisation for Business Processes
    • MTH776P Bayesian Statistics
    • MTH791P Computational Statistics with R
    • MTH793P Advanced Machine Learning
    • MTH750P Graphs and Networks

    Year-long

    One compulsory module:

    • MTHM038 MSc Project

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    Module Registration

    The Process

    You are expected to register for your modules within the first two weeks of Semester A. The module registration task is completed via MySIS. You should select the modules you wish to register for and submit them to your Advisor (usually the Programme Director) for approval. Approved choices will appear on your MySIS module page, personal timetable and QMplus profile.  With permission from the Programme Director, you can change the modules for each semester within the first two weeks of that semester.

    For more information on the module selection procedure see the relevant section of the MSc Student Handbook.

    Modules and Advice

    You should view the descriptors of the MSc modules (Level 7) in order to help make your choice.  The complete list of School of Mathematical Sciences modules provides details of assumed background/prerequisites as well as providing links to the individual QMplus pages.  As an MSc Maths student you can choose up to two approved Level-7 mathematics/statistics modules and up to two approved MSc Astrophysics modules.

    An individual appointment with the Programme Director to discuss module choices is an important part of the induction programme and you can also contact Dr Harris at any other time for advice.

    Project Dissertation

    Full details of the project structure and available topics are available on the MTHM038 QMplus page.


    Module changes in Semester B

    • Module Amendment Form Sem B, 2020/21 File

      The module selection window is 14 December 2020 --  5 February 2021.

      In case changes are desired the form should be sent to the Programme Director a.gnedin@qmul.ac.uk

       

      19.7 KB
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    Teaching Timetable

    Once you are registered for your modules you will be able to view a personalised timetable via both your QMplus home page and MySIS. If you need to check the teaching times/locations for any modules for which you are not registered you can also consult the Queen Mary central web timetables.

    You are strongly advised to check your teaching timetable at the beginning of each week in case of any changes to timing and/or location information.

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    Student Facilities

    Details of the facilities in the School of Mathematical Sciences are explained as part of the induction programme.  If you have subsequent access difficulties or any other queries, please contact the Postgraduate Taught Programmes Officer.

    SMS MSc Computer Lab

    The lab, now located in room Queens' W307, contains a number of workstations for project work, programming, research, etc. The lab also offers printing facilities.

    Access Info:
    1. You will need to use your student ID card to get in; all enrolled students are automatically set up with access to the lab.
    2. The lab network is currently maintained by the School of Electronic Engineering and Computer Science (EECS) and therefore has separate login details from your main QMUL account. EECS login information should be issued at the induction session.

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    Support and Representation

    Student Support

    If you have a problem, the most important thing to do is to talk to someone about it. It is often best to arrange a meeting with the Programme Director, Dr Rosemary Harris, the Postgraduate Taught Programmes Officer, Cian O'Neill, or the Student Support Officer, William Ng. Alternatively you may wish to speak to one of the module organisers or your MSc student representative. If you prefer not to discuss your problem with a member of the School, you can obtain help and advice directly from the QMUL Advice and Counselling Service.

    More information about the support available to you can be found on the "i2 Keepin' it Real" QMplus page.

     

    Student Staff Liaison Committee

    The MSc Student Staff Liaison Committee (SSLC) acts as the main forum for discussion between staff and students registered on all SMS MSc programmes.  It meets several times in the academic year and includes MSc student representatives as well as staff involved in the MSc programme delivery.  The representative for the MSc Mathematics is Shahzeb Raja Noureen; please contact him if there are any particular issues you would like raised.

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    Careers Information

    We attach great importance to helping you with your future career plans and there is a member of academic staff with a particular remit for MSc careers.  A number of events will be laid on during the year to help support you.

    QM Careers Service

    Throughout your time as a postgraduate student at QMUL, and for up to two years after you graduate, you will have access to the Queen Mary Careers & Enterprise service.

    The School of Mathematical Sciences has a dedicated careers consultant, Gill Lambert, who will provide information, via email and social media, about relevant career events and opportunities taking place at QMUL and externally. To be fully informed you should:

    1. Check out the "Maths Careers" QMplus page, and read the notifications sent to you via email about events and opportunities;

    2. Follow qmcareers on Twitter.

    MSc Careers Workshops

    Previous years' programmes have included sessions on "CVs with Impact", "Effective Applications", "Interview Skills" and "Summer Job Search".  Details of this year's events will be communicated as they become available.

    Networking

    Attending the careers events promoted by Gill Lambert and the academic staff gives you the chance to meet people working in industries you might be interested in. We encourage you to make the most of any contact you have with professionals by asking them questions and seeking their advice about the realities of their career, how they secured their role and the steps they are taking to succeed in it.

    Mathematics Seminars

    You are welcome to attend all seminars run within the School of Mathematical Sciences and this may be particularly helpful if you are considering going on to PhD research. For more information about topics and times, please see the School's seminar webpages.