Statistical Science


Modules in Statistical Science for students from other departments

These webpages provide a guide to the modules offered by the Department of Statistical Science that are available to students registered in other UCL departments. However, the guide is NOT intended for use by the following groups of students.

  • Students taking compulsory modules in Statistical Science. These students will be registered automatically on Portico for the module(s) in question.
  • Students enrolled on the BSc / MSci Mathematics and Statistical Science (MASS) programmes, for whom separate arrangements are made. These students should instead refer to the module selection information published by the Department of Mathematics.
  • Students enrolled on the Mathematics and Statistics stream of the BSc / MSci Natural Sciences degree programmes, for whom separate arrangements are made. These students should instead refer to the module selection information published on the Natural Sciences website.
  • Students on affiliate programmes who are enrolled at UCL during the autumn term only. None of the modules offered by the Department of Statistical Science are suitable for these students (because the final examinations do not take place until the summer term).

Please note: all Statistical Science modules are expected to be heavily subscribed for the 2020/21 session. Consequently, the Department will only be able to consider elective requests from students if there is a reciprocal agreement with their parent department. Therefore, any student wishing to register for a Statistical Science module as an elective should first consult their parent department to find out whether such an agreement is in place.

Module type

The modules fall into two categories.

  • Service modules specifically provided for students from other departments.
  • Departmental modules primarily intended for students enrolled on the degree programmes offered by the Department of Statistical Science, but which may also be suitable for students from other departments.

In addition to having taken acceptable prerequiste courses, students from other departments may have to do some preliminary reading for some Departmental modules.

Module availability

The modules fall into two categories.

  • A module may be specified as Optional within a particular programme by formal agreement between the Department of Statistical Science and the relevant parent department. There may be a streamlined registration process for students from these programmes.
  • Some modules are in principle available as an Elective to students from any UCL programme (at the corresponding level). Such students must generally consult a member of staff in the Department of Statistical Science as part of the registration process, who will determine whether they have the necessary academic prerequisites.

If a module is not designated as Elective in the below list (or does not feature in the list at all), registration attempts from students outside of programmes for which the module is Optional will be unsuccessful.

Module list

Click on each module title for more information about availability, academic prerequisites, registration requirements, and for other relevant details.

STAT0005Probability and Statistics II61ServiceOptional
STAT0006Linear Models and the Analysis of Variance51DepartmentalOptional, Elective
STAT0007Stochastic Processes62ServiceOptional
STAT0008Statistical Inference6 & 71DepartmentalOptional
STAT0009Stochastic Systems6 & 71DepartmentalOptional
STAT0010Forecasting6 & 72DepartmentalOptional, Elective
STAT0011Decision and Risk6 & 72DepartmentalOptional, Elective
STAT0013Stochastic Methods in Finance6 & 71DepartmentalOptional, Elective
STAT0015Medical Statistics 272DepartmentalOptional
STAT0017Selected Topics in Statistics72DepartmentalOptional
STAT0018Stochastic Methods in Finance II6 & 72DepartmentalOptional
STAT0019Bayesian Methods in Health Economics72DepartmentalOptional
STAT0020Quantitative Modelling of Operational Risk and Insurance Analytics6 & 72DepartmentalOptional, Elective
STAT0021Introductory Statistical Methods and Computing41 or 2ServiceOptional, Elective
STAT0022Introductory Statistical Methods41 & 2ServiceOptional
STAT0024Social Statistics52DepartmentalElective
STAT0025Optimisation Algorithms in Operational Research61DepartmentalElective
STAT0026Statistics for Medical Scientists51 & 2ServiceOptional
STAT0028Statistical Models and Data Analysis71DepartmentalOptional, Elective
STAT0029Statistical Design of Investigations71DepartmentalOptional, Elective
STAT0030Statistical Computing71 & 2DepartmentalOptional
STAT0031Applied Bayesian Methods72DepartmentalOptional, Elective
STAT0038Decision and Risk72ServiceOptional
Advice and registration

A series of virtual module registration sessions with a member of the teaching staff will be held at the beginning of Term 1 via MS Teams. These sessions can be used by any student to obtain general advice and information about the suitability of Statistical Science modules. However, they are a mandatory component of the registration process for certain modules (see previous section).

Undergraduate Sessions

DateTime (UK)Staff Member
Monday 28 September 202010:00-12:00Dr Samuel Livingstone
Tuesday 29 September 202010:00-12:00Dr Samuel Livingstone
Wednesday 30 September 202011:00-13:00Dr Samuel Livingstone
Thursday 01 October 202011:00-13:00Dr Samuel Livingstone
Friday 02 October 202010:00-12:00Dr Samuel Livingstone

To book onto one of the sessions, email Dr Livingstone with details of your preferred date. Dr Livingstone will then attempt to contact you via MS Teams during the time window stated. After 02 October, email Dr Livingstone for information about further available sessions.

Postgraduate Sessions

DateTime (UK)Staff Member
Tuesday 29 September 202011:30-16:30Dr Codina Cotar

To book onto the session, email Dr Cotar to reserve a place. Dr Cotar will then attempt to contact you via MS Teams during the time window stated. After 29 September, email Dr Cotar for information about further available sessions.


The Department of Statistical Science will give teaching department approval to as many registrations as possible until a module is at capacity. If a module is oversubscribed, optional registrations will be prioritised over electives.

If a student selects a module on Portico but then fails to attend one of the virtual registration sessions where this has been indicated as a requirement, their selection will ultimately be rejected.

Teaching arrangements

Details of teaching events and learning resources for each module are available from the UCL Timetable and Moodle. After confirming your selection on Portico, you will be automatically enrolled onto the Moodle course for the module and any required tutorial/workshop allocations will be arranged by a Teaching & Learning Administrator before lessons are due to start. Your tutorial/workshop group will then be accessible from your online timetable. However, it may take one or two working days after selection on Portico before all of these processes are completed. Note also that, once allocated, your tutorial/workshop group will NOT be changed unless you can demonstrate a timetable clash.

Students' attendance at tutorials and workshops will be monitored. Unsatisfactory attendance or an unsatisfactory coursework record will be reported to a student's Programme Tutor.