Statistics

This programme is accredited by the Royal Statistical Society and provides a broad, thorough and intellectually challenging training in the theory and practice of statistical science. Skills in statistics are valued by a variety of employers and can be applied to various problems in science, medicine, technology, finance and economics.

In each year of your degree you will take a number of individual modules, normally valued at 0.5 or 1.0 credits, adding up to a total of 4.0 credits for the year. Modules are assessed in the academic year in which they are taken. The balance of compulsory and optional modules varies from programme to programme and year to year. A 1.0 credit is considered equivalent to 15 credits in the European Credit Transfer System (ECTS).

During the course of your degree, theoretical studies are balanced with developing practical skills, including the use of specialist software. In your first year, you will study mathematics, statistics and some computing, which will prepare you for increased specialistion in statistics in years two and three.

Over the whole three years, theoretical studies are balanced with an emphasis on practical work (including the use of computers) and realistic illustration of theoretical concepts.

In the final year, there is considerable flexibility to bias your programme towards either the more mathematical or applied aspects of the subject. In particular, about one-quarter of your work will be on a project involving extensive research supervised by a member of staff within the Department of Statistical Science. Previous projects include the analysis of rainfall patterns in southern Africa, an analysis of data from a clinical trial and an analysis of volatility in financial markets.

This programme is accredited by the Royal Statistical Society and provides a broad, thorough and intellectually challenging training in the theory and practice of statistical science. Skills in statistics are valued by a variety of employers and can be applied to various problems in science, medicine, technology, finance and economics.

Key information

Programme starts

September 2018

UCAS code

G300

Duration

Full-time: 3 years

Application deadline

15 January 2018

Location

London, Bloomsbury

Accreditation

Royal Statistical Society (See Degree benefits)

Applications per place

9 (2016 entry)*

Total intake

115 (2018 entry)*

* Figures relate to Statistical Sciencesubject area

Entry requirements

A levels

Grades

A*AA-AAA/A*AB

Subjects

A* in Mathematics, or AA in Mathematics and Further Mathematics, is required. Applicants offering A*AB including A*A in Mathematics and Further Mathematics respectively will also be considered.

GCSEs

English Language and Mathematics at grade C. For UK-based students, a grade C or equivalent in a foreign language (other than Ancient Greek, Biblical Hebrew or Latin) is required. UCL provides opportunities to meet the foreign language requirement following enrolment, further details at: www.ucl.ac.uk/ug-reqs

IB Diploma

Points

38-39

Subjects

A score of 18-19 points in three higher level subjects including grade 7 in Mathematics, with no score lower than 5.

Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

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