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  • Start date: September 2018

Statistics BSc

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 Science subject 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.

UK applicants qualifications

For entry requirements with other UK qualifications accepted by UCL, choose your qualification from the list below:

Equivalent qualification

BTEC Level 3 National Extended Diploma (RQF - teaching from 2016) with Distinction, Distinction, Distinction to include Distinction in Engineering Principles and Calculus to Solve Engineering Problems.

Pass in Access to HE Diploma, with a minimum of 23-28 credits awarded with Distinction in the Level 3 units, the remainder of the Level 3 units awarded with Merit.

D2,D3,D3 - D3,D3,D3 in three Cambridge Pre-U Principal Subjects, including Mathematics at D2 if Further Mathematics not offered

A1,A,A - A,A,A at Advanced Highers (or A1,A at Advanced Higher and A,A,A at Higher - A,A at Advanced Higher and A,A,A at Higher), including Mathematics at A1 at Advanced Higher.

Successful completion of the WBQ Advanced Skills Challenge Certificate plus 2 GCE A-levels at grades A*AA-AAA or A*AB, including A* in Mathematics.

International applications

In addition to A level and International Baccalaureate, UCL considers a wide range of international qualifications for entry to its undergraduate degree programmes.

Undergraduate Preparatory Certificates

The Undergraduate Preparatory Certificates (UPCs) are intensive one-year foundation courses for international students of high academic potential who are aiming to gain access to undergraduate degree programmes at UCL and other top UK universities.

Typical UPC students will be high achievers in a 12-year school system which does not meet the standard required for direct entry to UCL.

For more information see: www.ucl.ac.uk/upc.

English language requirements

If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency. Information about the evidence required, acceptable qualifications and test providers can be found on our English language requirements page.

The English language level for this programme is: Standard

A variety of English language programmes are offered at the UCL Centre for Languages & International Education.

Degree benefits

  • The programme allows considerable flexibility through the choice of optional modules, and it may be possible to choose some modules from other UCL departments.

  • The department offers a friendly and supportive atmosphere, where small-group teaching and personal attention are available for all students.

  • The programme is accredited by the Royal Statistical Society (RSS) enabling you to be granted Graduate Statistician (GradStat) status if you achieve second-class honours or above.

  • Teaching is enhanced by the varied research interests of our academic staff; from the foundations of the subject to applications of statistics in science, medicine, industry, economics and finance.

Accreditation

This programme is accredited by the Royal Statistical Society. On application to the Royal Statistical Society, graduates are awarded Graduate Statistician (GradStat) status, providing formal recognition of a member's statistical qualifications, subject to achieving second-class honours or above.

Research Excellence Framework (REF) 2014

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

The following REF score was awarded to the department: Statistical Science.

  • 82% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.

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Degree structure

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.

Modules

An indicative guide to the structure of this programme, year by year.

Core or compulsory module(s)

Introduction to Probability and Statistics
Introduction to Practical Statistics
Further Probability and Statistics
Mathematics for Students of Economics, Statistics and Related Disciplines I
Mathematics for Students of Economics, Statistics and Related Disciplines II

Optional modules

You will select 1.5 credits from a wide range of optional modules. Options may include:

A Foreign Language module (Arabic, Dutch, French, German, Italian, Japanese, Mandarin or Spanish – all levels from beginner to advanced available)
Analysis 1
History of Modern Science
History of Science: Antiquity to Enlightenment
An Introduction to Applied Economic Analysis
Introduction to Social and Business Psychology
Science Policy

Core or compulsory module(s)

Computing for Practical Statistics
Introduction To Applied Probability
Linear Models and the Analysis of Variance
Mathematics for Students of Economics, Statistics and Related Disciplines III
Probability and Inference

Optional modules

You will select 1.5 credits of optional modules, including at least one of the following:

Optimisation Algorithms in Operational Research
Social Statistics

Remaining credits can be selected from a wide range of undergraduate module options.

Core or compulsory module(s)

Statistical Inference
Statistical Science Project

Optional modules

You will select 2.5 credits from a wide range of optional modules. Options may include:

Decision & Risk
Bayesian Methods in Health Economics
Factorial Experimentation
Forecasting
Medical Statistics I
Medical Statistics II
Optimisation Algorithms in Operational Research
Quantitative Modelling of Operational Risk & Insurance Analytics
Social Statistics
Stochastic Methods in Finance I
Stochastic Methods in Finance II
Stochastic Systems
Other approved undergraduate module options

Your learning

We employ a variety of teaching methods which include lectures, small-group tutorials, problem classes and computer workshops and e-learning. Lecturers have regular 'office hours' during which you are welcome to come and ask questions about the programme material.

Assessment

Most modules are examined at the end of the academic year in which they are taken using a combination of end-of-year examinations and in-course assessment. Prizes may be awarded to the most outstanding students in the first, second and third year.

Further Information

Detailed course descriptions are available on the department website: Statistics BSc.

Careers

Together with subject-specific knowledge, the programme is designed to equip you with skills valued by employers including: advanced numeracy and quantitative skills, analytical and problem-solving skills, and computing skills. You will also develop your research skills, communication skills and word processing skills through statistical project work.

The demand for graduates with training in statistical science is now a permanent feature in both advanced and developing countries for jobs in finance, commerce, industry, research, education and government. Graduates from this department are well-represented in all these fields, in this country and overseas, and recent graduates have continued to be successful in obtaining a wide variety of jobs.

Popular career choices of previous graduates include the financial sector, training in the actuarial or accountancy professions and jobs in industry and commerce. Postgraduate study, for example in advanced statistics, medical statistics, actuarial science, finance or economics, provides further options.

Destinations

First career destinations of recent graduates (2013-2015) of this programme include:

  • Graduate Trainee, Canopius
  • Actuarial Trainee, PwC
  • Full-time student, MSc in Applied Statistics at University of Oxford
  • Full-time student, MSc in Risk Management and Financial Engineering at Imperial College Business School, Imperial College London

Data taken from the 'Destinations of Leavers from Higher Education' survey undertaken by HESA looking at the destinations of UK and EU students in the 2013-2015 graduating cohorts six months after graduation.

UCL is commited to helping you get the best start after graduation. Read more about how UCL Careers and UCL Innovation and Enterprise can help you find employment or learn about entrepreneurship.

Student view

I enjoy the diversity of teaching within the subject of statistics. No two modules feel the same so it's never boring. I have particularly enjoyed Stochastic Systems and Medical Statistics. I'm also loving my project as it is giving me a glimpse of how I can use my statistics knowledge in the real world. Lily Spencer - Statistics BSc (Third Year)

Fees and funding

Tuition fees

The fees indicated are for undergraduate entry in the 2017/18 academic year and are for the first year of the programme at UCL only. Fees for 2018 entry will appear here as soon as they are available.

UK/EU students
£9,250 (2017/18 - see below)
Overseas students
£21,360 (2017/18)

The UK/EU fee quoted above may be subject to increase for the 2018/19 academic year and for each year of study thereafter and UCL reserves the right to increase its fees in line with UK government policy (including on an annual basis for each year of study during a programme). Fees for overseas students may be subject to an annual increase in subsequent years of study by up to 5%.

Please see the full details of UCL's fees and possible changes on the UCL Current Students website.

Funding

Various funding options are available, including student loans, scholarships and bursaries. UK students whose household income falls below a certain level may also be eligible for a non-repayable bursary or for certain scholarships. Please see the Fees and funding pages for more details.

The department offers an undergraduate scholarship, the Statistical Science Scholarship.

Departmental scholarships

The Scholarships and Funding website lists scholarships and funding schemes available to UCL students. These may be open to all students, or restricted to specific nationalities, regions or academic department.

Application and next steps

Your application

When we receive your application we will consider your academic record, your predicted grades, your personal statement and your reference. Your application should demonstrate high academic ability, particularly in mathematics, an informed interest in all components of your chosen degree programme and good communication skills. Attendance at an open day may be required; in special cases, candidates may be interviewed.

How to apply

Application for admission should be made through UCAS (the Universities and Colleges Admissions Service). Applicants currently at school or college will be provided with advice on the process; however, applicants who have left school or who are based outside the United Kingdom may obtain information directly from UCAS.

Application deadline: 15 January 2018



Selection

We will decide whether to invite you to an applicant open day on the basis of our assessment of your application. Your visit will include an opportunity to meet staff and current undergraduates, a tour of UCL, a taster lecture and introductory talks about the department and degree programmes.

For further information on UCL's selection process see: Selection of students.


Page last modified on 25 July 2017 at 16:13 by UCL Student Recruitment Marketing.