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.

Quick guide to registration

Who should (not) use this guide

This guide covers the majority of students registered in other UCL departments. However, it 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 some of the formal assessment extends into the second and third terms).

Module types

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 is generally 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 may need to 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.

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 at the beginning of the relevant term. 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.

Intercollegiate study

The modules designated as having "Elective" availability are also available in principle to incoming intercollegiate students. The application process for intercollegiate study is organised centrally at UCL, but the initial step requires students to seek informal approval from the relevant UCL teaching department. To obtain such approval for one of the Elective modules listed below, there is still the standard requirement to consult a member of staff in the Department of Statistical Science, to confirm that the academic prerequisites are met. However, since the online form linked in the quick guide above requires a UCL login, prospective intercollegiate students can instead initiate a consultation by emailing stats.ugt@ucl.ac.uk.

Module list

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