Nottingham Trent University
UCAS Code: GG14 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
112 - 120 UCAS Tariff points from up to four qualifications (two of which must be A-level equivalent including Maths grade C)
Pass your Access course with 60 credits overall with a minimum of 45 credits at level 3 including relevant Maths modules
112 - 120 UCAS Tariff points from your BTEC Level 3 National Diploma and up to two other qualifications including A-Level Maths grade C or equivalent
112 - 120 UCAS Tariff points from your BTEC Level 3 National Extended Certificate and up to three other qualifications (one of which must be A-Level equivalent including Maths grade C or equivalent).
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
DDM from a BTEC Extended Diploma including relevant Maths modules
We will consider T Levels for entry to this course, either as stand-alone qualifications or in conjunction with other Level 3 qualifications, in accordance with the specified course tariff points.
UCAS Tariff
112 - 120 UCAS Tariff points from up to four qualifications (two of which must be A-level equivalent including Maths grade C or equivalent)
About this course
It’s all about applying your learning. Starting with algebra, calculus and statistics - the foundations of mathematics – before moving on to advanced topics like statistical modelling and computational statistics.
Supported by our expert staff, you’ll get lots of chances to bring into play the mathematical skills you’ve explored and apply them through statistics. You’ll discover how these have unlocked some ground-breaking mathematics discoveries.
In today’s information age, a massive amount of information is gathered daily. That’s why statistical skills are highly valued in the workplace so we’ll help you develop yours. You’ll be hands-on throughout your course and regularly use our specialist equipment – including mathematical and statistical software, virtual reality and 3D printing technology. Thanks to these practical experiences, you’ll be confident and work-ready when you graduate.
In today’s information age, a massive amount of information is gathered daily. In this course, we’ll teach you how to interpret patterns in data using statistics to make the correct decisions or predictions. Demand is high for talented statisticians in private and public sectors, such as market research, the NHS, environmental science, forensic science and government statistics.
This course aims to equip you with advanced mathematical ideas and computational techniques to succeed in this area. You'll be hands-on throughout your course and use our specialist facilities, which include mathematical and statistical software, virtual reality, and 3D printing technology. These will help give you the knowledge and skills employers demand.
In Years One and Two, you’ll explore various mathematical techniques and applications. Then, in your final year, you’ll get to choose several specialist modules depending on your personal preferences and career aspirations.
Our Mathematics degrees are current and relevant to the needs of the business. Our close links with the industry mean that, if you wish, you’ll have the opportunity to take up job placements with some of the world’s leading companies.
**Research scholarships**
Every year we offer a small number of Mathematics Undergraduate Research Scholarships (MURS), giving successful applicants funding for a six-to-eight-week placement in one of our research teams. This is an excellent opportunity for you to further your research interests and contribute to the academic activities of the mathematics department.
The Uni
Clifton Campus
School of Science and Technology
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.
£22k
£28k
£30k
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.
£22k
£28k
£30k
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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Teaching Excellence Framework (TEF):
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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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