What do you need to get in?
Main entry requirements
Mathematics at A* required or AA in Mathematics and Further Mathematics.
A1,A,A - A,A,A at Advanced Highers, including Mathematics
If your qualifications aren’t listed here, you can use our UCAS points guide of 144-152 and refer to the university’s website for full details of all entry routes and requirements.
% applicants receiving offers50%
Provided by UCAS, this is the percentage of applicants who were offered a place on the course last year. Note that not all applicants receiving offers will take up the place, so this figure is likely to differ from applicants to places.
Tuition fee & financial support£9,250
Maximum annual fee for UK students. NHS-funded, sandwich or part-time course fees may vary.
If you live in:
- Scotland and go to a Scottish university, you won’t pay tuition fees
- Northern Ireland and go to an NI uni, you’ll pay £3,805 in tuition fees
- Wales you’ll pay £3,810 in fees and get a tuition fee grant to cover the rest
Every degree course is different, so it’s important to find one that suits your interests and matches the way you prefer to work – from the modules you’ll be studying to how you’ll be assessed. Top things to look for when comparing courses
This four-year programme provides an advanced education in statistics together with experience of education in a different cultural and/or linguistic setting, which will broaden your horizons and prepare you for a variety of careers that have a special emphasis on international expertise.
Year one: compulsory courses: mathematics for students of economics, statistics & related disciplines 1; mathematics for students of economics, statistics & related disciplines 2; introduction to probability and statistics; further probability and statistics; introduction to practical statistics. Year two: compulsory courses: mathematics for students of economics, statistics & related disciplines 3; probability and inference; linear models and the analysis of variance. Optional courses: introduction to applied probability; computing for practical statistics; social statistics; optimisation algorithms in operational research. Year three: year abroad. Final year: statistical science project; statistical models and data analysis; statistical design of investigations; statistical computing; applied Bayesian methods; decision and risk; stochastic systems; forecasting; statistical inference; medical statistics; stochastic methods in finance; factorial experimentation.
Welcome to University College London, the capital's leading multi-disciplinary university with 8,000 staff and 25,000 students. Our university is a modern, outward-looking institution, committed to engaging with the major issues of our times. We have a global reach - almost two-thirds of our student body come from outside the UK, from 150 countries. UCL today is a true academic powerhouse.
How you'll spend your time
|Year 1||Year 2||Year 3||Year 4|
|Lectures / seminars||23%||22%||0%||18%|
- Lectures / seminars
- Independent study
How you'll be assessed
|Year 1||Year 2||Year 3||Year 4|
- Written exams
- Practical exams
What do the numbers say for
Where there isn’t enough reliable data about this specific course, we’ve shown aggregated data for all courses at this university within the same subject area
What do students think about this subject here?
Here's how satisfied past students were – useful to refer to when you’re narrowing down your options. Our student score makes comparisons easier, showing whether satisfaction is high, medium or low compared to other unis.
Start building a picture of who you could be studying with by taking a look at the profile of people that have studied this subject here in previous years.
UK / Non-UK
Male / Female
Full-time / Part-time
Typical Ucas points
2:1 or above
Most popular subjects students studied before attending
Here's an idea of the academic background of students from previous years, to give you a flavour of the type of people who take this subject.
What are graduates doing after six months?
Here’s what students are up after they graduate from studying this subject here. We’ve analysed the employment rate and salary figures so you can see at a glance whether they’re high, typical or low compared to graduates in this subject from other universities. Remember the numbers are only measured only six months after graduation and can be affected by the economic climate - the outlook may be different when you leave uni. What do graduate employment figures really tell you?