This programme, run jointly with UCL Economics, combines an in-depth study of economics and econometrics with a solid grounding in mathematical and statistical methods. The programme is suitable for students of high mathematical ability who are considering a career in finance, business or industry.
For entry requirements with other UK qualifications accepted by UCL, choose your qualification from the list below:
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 28 credits awarded with Distinction in the Level 3 units, the remainder of the Level 3 units awarded with Merit.
D2,D3,D3 in three Cambridge Pre-U Principal Subjects. Mathematics at D2 required. Further Mathematics is preferred. If you are studying both subjects then D2 can be in either subject.
A1,A,A at Advanced Highers (or A1,A at Advanced Higher and A,A,A at Higher), including A1 in Mathematics at Advanced Higher.
Successful completion of the WBQ Advanced Skills Challenge Certificate plus 2 GCE A-Levels at grades A*AA, including A* in Mathematics. Further Mathematics is preferred. If you are studying both subjects then A* can be in either subject.
In addition to A level and International Baccalaureate, UCL considers a wide range of international qualifications for entry to its undergraduate degree programmes.
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: Good
A variety of English language programmes are offered at the UCL Centre for Languages & International Education.
London is the financial capital of Europe and a leading global financial centre, and UCL is located close to the financial institutions in the City.
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.
The department offers a friendly and supportive atmosphere, where small-group teaching and personal attention are available for all students
Our graduates are highly sought after in such areas as finance, commerce, industry, research, education and government, while many go on to successfully complete a Master’s or PhD programme.
In each year of your degree you will take a number of individual modules, normally valued at 15 or 30 credits, adding up to a total of 120 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 30-credit module is considered equivalent to 15 credits in the European Credit Transfer System (ECTS).
This BSc is a joint degree programme taught in conjunction with UCL Economics. A first-year combination of statistics, economics and mathematics is followed by a roughly equal mix of statistics and economics modules (including econometrics) over years two and three. In the third year in particular, there is considerable flexibility in the range of options available in both economics and statistics.
An indicative guide to the structure of this programme, year by year.
Economics I (Combined Studies)
Introduction to Practical Statistics
Introduction to Probability and 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
Either Applied Economics or The World Economy
Economics II (Combined Studies)
Linear Models and the Analysis of Variance
Mathematics for Students of Economics, Statistics and Related Disciplines III
Probability and Inference
Quantitative Economics and Econometrics
Either Introduction To Applied Probability or Social Statistics
All final year modules are optional.
You will select 4.0 credits from a wide range of options in UCL Economics and UCL Statistical Science. Options may include:
Bayesian Methods in Health Economics
Econometrics for Macroeconomics and Finance
Economics of Finance
Environmental Economics
Forecasting
Game Theory
Medical Statistics I
Medical Statistics II
Money and Banking
Optimisation Algorithms in Operational Research
Quantitative Modelling of Operational Risk & Insurance Analytics
Social Statistics
Stochastic Methods in Finance I
Stochastic Methods in Finance II
We employ a variety of teaching methods including 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 course material.
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.
Detailed module descriptions are available on the department website: Economics and Statistics BSc (Econ).
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.
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.
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.
The fees indicated are for undergraduate entry in the 2019/20 academic year. The UK/EU fees shown are for the first year of the programme at UCL only. Fees for future years may be subject to an inflationary increase. The Overseas fees shown are the fees that will be charged to 2019/20 entrants for each year of study on the programme, unless otherwise indicated below.
Full details of UCL's tuition fees, tuition fee policy and potential increases to fees can be found on the UCL Students website.
If you are concerned by potential additional costs for books, equipment, etc. on this programme, please get in touch with the relevant departmental contact (details given on this page).
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 EJ Gumbel Scholarship.
Funding opportunities relevant to the department may appear in this section when they are available. Please check carefully or confirm with the programme contact to ensure they apply to this degree programme.
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.
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.
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 2019
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.