MRes Structure and Schedule

Here you can find details of the course structure for the MRes programme including a schedule for the taught course component and term times for the academic year.

Taught Course Dates

The MRes course is full-time and runs for one year from October to September. Students must be in attendance for the taught courses which run throughout the year, for periods of examination in the summer term and also for the introduction week prior to the course starting in October. Specifically, students must be in attendance at the following times:

  • Introduction week: It is vital that all students attend the Introduction week in order to register on the course and take part in important University and STOR-i events. 
  • Term 1 (Michaelmas term): Taught courses will run for ten weeks from the beginning of the official academic term.
  • Term 2 (Lent Term): Taught courses will run for twelve weeks from the beginning of term.
  • Term 3 (Summer Term): Revision sessions will run for courses taught in previous terms and examinations will take place thereafter.

Term dates for the current and following academic years can be found here.

Click here for timetables for the current year.

Absence and holidays

If you are not able to attend any timetabled session please email the STOR-i Administrator explaining your absence.

Outside term times and holidays/University closure periods students are expected to be in attendance throughout the year. Students are allowed a maximum of 4 weeks holiday (in addition to any period of University shutdown and public holidays) throughout the academic year. In special cases additional absences may be approved.

It is generally advised that students organise extended holidays after summer examinations in Term 3, or after they submit their research project plan. However, lengthy holiday absence, or any absence that impacts with a STOR-i event, is not considered conducive to the STOR-i programme and will only be approved under exceptional circumstances. Formally, any holiday dates must be agreed well in advance by the STOR-i Director, but if holiday is taken in the periods suggested above, they will be approved. Please contact the STOR-i Administrator with any requests for planned absence.

Taught Course Components

The taught course component consists of a set of seven compulsory modules providing a firm grounding in important subjects related to Statistics and Operational Research.

All students study the core modules:

Module No. Module Title Terms:Weeks scheduled
STOR601 Training for Research and Industry T1:1-10, T2:11-21
STOR602 Probability and Stochastic Processes T1:1-9
STOR604 Modern Topics in Statistics and Operational Research T2:11-21
MSCI536 Optimisation T1:1-5
MATH651 Likelihood Inference T1:1-5
MATH653 Bayesian Inference T1:6-10
MATH654 Computational Intensive Methods T1:6-10

Selection of PhD Topic

A key element of the MRes programme is the preparation of students to make informed decisions about the selection of their PhD topic. In addition to the exposure of a wide range of research topics the students are taken through a closely guided process towards project selection.

Similarly a key role of STOR-i’s Executive Committee is to oversee the selection of suitable PhD projects for STOR-i students. They identify industrially-led projects with partners and find appropriate STOR staff members for the formation of teams for project development and subsequent supervision in collaboration with industry. Additionally, ideas from academic staff for methodologically-led projects are circulated to all STOR staff and to our industrial partners in advance of two Ideas Factories, to be held in the first term. These events will aim to form inter-disciplinary supervisory teams and will explore industrial involvement in these projects. Cross-disciplinary work is intrinsic to the operation of STOR-i and all students will be supervised by a team representing at least two of the centre’s three constituencies (statistics, OR and industry).

Towards the end of Term 2 a range of potential projects will be presented to the students in written form and via a series of talks at a Project Market, which will lead on to in-depth discussions between students and supervisors at the start of the third term. Students are encouraged to organise the allocation of projects amongst themselves with oversight from the Executive Committee.

Having selected a PhD topic the three month PhD Research Proposal project, undertaken between mid-June and early September gives an opportunity to test the fit of students to projects/supervisory teams. In exceptional cases students will be able to change projects at the end of year one.

For further information about STOR-i research including current PhD topics and selection of PhD topics click here.