Mathematics and Statistics with Data Science with a Placement Year
Entry requirements
A level
including Mathematics at grade A. If you place us as your Firm choice we will accept you with one grade lower than this, including accepting a B in Maths at A level. (e.g. BBC with Maths at B or ABD with Maths at either A or B).
Access to HE Diploma
including at least 12 level 3 credits in Mathematics. If you place us as your Firm choice we will accept you with 15 level 3 credits at Distinction and 30 level 3 credits at Merit, including at least 12 level 3 credits in Maths.
Cambridge International Pre-U Certificate - Principal
including Mathematics at Grade D3. If you place us as your Firm choice we will accept you with one grade lower than this, including accepting a grade M2 in Maths. (e.g. M2, M2, M3 with Maths at M2).
Extended Project
In recognition of the excellent preparation that the Extended Project Qualification provides to students for University study, we now include achievement in the EPQ as part of a formal offer. Eligible applicants would receive two offers, our usual offer plus an alternative offer of a B in the EPQ and one grade lower in their A level subjects.
GCSE/National 4/National 5
GCSE Maths C (or 4), English Language or English Literature C (or 4).
International Baccalaureate Diploma Programme
including Mathematics at grade 6 at Higher Level. If you place us as your Firm choice we will accept you with 28 points overall, including accepting Maths at grade 5 at Higher Level.
Scottish Higher
including Mathematics at grade A. If you place us as your Firm choice we will accept you with one grade lower than this, including accepting a B in Maths (e.g. BBBBB with Maths at B).
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
**Learn how to collect, analyse and interpret data – while developing your knowledge of mathematics – with our BSc Mathematics and Statistics with Data Science with a Placement Year course.**
As increasing amounts of data are collected on every aspect of human life and the world around us, in-depth knowledge of statistics is becoming more critical than ever. Statistical skills are applicable to a wide range of areas, including business, climate science, medicine and the civil service.
This course, taught by University of Reading’s Department of Mathematics and Statistics, has been designed to develop both your statistical and mathematical skills.
This degree is accredited by the Institute of Mathematics and its Aapplications to meet the educational requirements of the Chartered Mathematician designation when followed by subsequent training and experience in employment to obtain competencies to those specified by the Quality Assurance Agency (QAA) for taught master's degrees.
**What you’ll study with BSc Mathematics and Statistics with Data Science with a Placement Year**
In mathematics you will study:
- calculus
- analysis
- linear algebra
- differential equations.
In statistics you will cover:
- linear models
- statistical computing
- probability.
During the second year you will also take a skills module, which is designed to improve your transferable skills and enhance your employability.
**Placement within industry**
This course features a placement year that you will undertake between your second and final year of study. Our dedicated placements officer can provide you with advice and support for finding the ideal placement, writing a CV and developing your interview skills.
Read about Connor Vidal-Cocker and his invaluable experience within Gazprom Marketing and Trading
Modules
The following modules have been approved in principle for delivery in 2024/25. Please note that as part of our current curriculum improvement process, all modules require final University approval and may be subject to change.
Core modules:
- Real Analysis I
- Calculus
- Foundations of Mathematics
- Linear Algebra
- Mathematical Communication
- Probability and Statistics
- Differential Equations
- Linear Models and Data Analysis
- Probability and Statistical Theory
- Numerical Analysis I
- Mathematical Modelling and Professional Skills
- Advanced Statistical Modelling
- Methods of Machine Learning
- Portfolio of Projects
- Placement Year
The University cannot guarantee that all optional modules will be available to all students who may wish to take them. Further information about the content of final approved modules will be available between May and July 2023. We suggest that you regularly revisit this webpage during this time to ensure you have the most up-to-date information regarding the modules offered on this programme.
Tuition fees
Select where you currently live to see what you'll pay:
The Uni
University of Reading
School of Mathematical, Physical and Computational Sciences
What students say
We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.
Mathematics
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Statistics
Sorry, no information to show
This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.
Mathematics
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Want to feel needed? This is one of the most flexible degrees of all and with so much of modern work being based on data, there are options everywhere for maths graduates. With all that training in handling figures, it's hardly surprising that a lot of maths graduates go into well-paid jobs in the IT or finance industries, and last year, a maths graduate in London could expect a very respectable average starting salary of £27k. And we're always short of teachers in maths, so that is an excellent option for anyone wanting to help the next generation. And if you want a research job, you'll want a doctorate — and a really good maths doctorate will get you all sorts of interest from academia and finance — and might secure some of the highest salaries going for new leavers from university.
Statistics
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
The business and research sectors worry that the UK hasn't got enough people with good statistics skills, and as stats are at the heart of so much of the economy, and we only have a few hundred graduates a year in the discipline, this type of degree can be very useful and versatile. The finance industry is very popular with this group, and they're far more likely to be working in London than most other graduates. And who can blame them — statistics graduates starting work in London were earning an average of nearly £29k just six months after leaving university. There is also demand from the Scottish finance sector in Edinburgh and Glasgow - particularly in banking and insurance. But a good statistician can find work almost anywhere that data can be analysed - which, in an online world, is almost anywhere - and many industries struggle to find enough statisticians to fulfil demand, so stay flexible and you can find a variety of options.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Mathematics
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£25k
£34k
£35k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
Statistics
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£25k
£34k
£35k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).
This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.
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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.
You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.
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Post-six month graduation stats:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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