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University of Nottingham

Statistics

UCAS Code: G300

Bachelor of Science (with Honours) - BSc (Hons)

Entry requirements


A level

A*,A,A-A,A,A

A*AA/AAA/A*AB at A level including A level mathematics at grade A*/A (or equivalent). Applicants may be asked for one of: A* in A level mathematics, A in A level further mathematics or A in AS level further mathematics. STEP is not required but may be taken into consideration when offered. A levels in general studies, critical thinking and citizenship studies are not accepted.

Specific maths units needed to be achieved at distinction. Please contact the school directly. GCSE English at grade C or above is also required.

Advanced Welsh Baccalaureate Skills Challenge Certificate

A-B

This qualification is only accepted when combined with appropriate A Level subjects including at least A in Mathematics. Please contact the school for further information.

D2 D3 M1 with D2 in Mathematics or D2 D3 M2 with D2 in Mathematics and D3 in Further Mathematics or D3 D3 M1 with D3 in Mathematics and Further Mathematics

International Baccalaureate Diploma Programme

36

including 6 in Mathematics at Higher Level

Pearson BTEC Level 3 National Extended Diploma

DDD

This qualification is only accepted when combined with A* at A Level Mathematics

Scottish Advanced Higher

A,A

This qualification is only accepted when combined with Scottish Higher grades AAAAB-AAABB, including A in Mathematics.

Scottish Higher

A,A,A,A,B-A,A,A,B,B


This qualification is only accepted when combined with Scottish Advanced Higher grades AA, including Mathematics.

UCAS Tariff

112-159

We’ve calculated how many Ucas points you’ll need for this course.

About this course


Course option

3years

Full-time | 2018

Subject

Statistics

This course offers you a broad and challenging modern curriculum, enabling you to deepen your understanding of statistics and its applications. You will acquire a basic knowledge of mathematical methods, applied mathematics, probability and statistics, together with modelling skills applicable to the physical and biological sciences, business, economics and finance. The course develops your ability to think logically and critically, to acquire problem-solving skills and to become a competent user of statistical software. A combination of mathematics, statistics and computing in this programme provides you with skills suitable for a wide range of careers.

Modules

During your first year you will study core mathematics, alongside foundation modules in statistics, probability and applied mathematics. In your second year you will extend your expertise in statistics and probability, enhance your numerical and computing skills, and choose from options which deepen your knowledge of applied mathematics or provide you with general skills that are important for a career in statistics. In your third year you will choose from a range of advanced optional modules in statistics, probability and applied mathematics, such as stochastic models and multivariate analysis. In all years you have the option to choose up to 20 credits, out of 120, from other schools.

Tuition fees

Select where you currently live to see what you'll pay:

England
£9,250
per year
EU
£9,250
per year
International
£15,570
per year
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

University of Nottingham

Department:

School of Mathematical Sciences

TEF rating:

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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.

87%
high
Statistics

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.

Mathematical sciences

Teaching and learning

83%
Staff make the subject interesting
92%
Staff are good at explaining things
86%
Ideas and concepts are explored in-depth
80%
Opportunities to apply what I've learned

Assessment and feedback

Feedback on work has been timely
Feedback on work has been helpful
Staff are contactable when needed
Good advice available when making study choices

Resources and organisation

91%
Library resources
87%
IT resources
91%
Course specific equipment and facilities
94%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions
Feel part of a community on my course

Who studies this subject and how do they get on?

34%
UK students
66%
International students
55%
Male students
45%
Female students
74%
2:1 or above
5%
Drop out rate
468

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.

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.

£23,000
high
Average annual salary
94%
med
Employed or in further education
22%
low
Employed in a role where degree was essential or beneficial

Top job areas of graduates

16%
Information technology and telecommunications professionals
6%
Sales assistants and retail cashiers
6%
Customer service occupations
What do graduate employment figures really tell you?

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.

Mathematical sciences

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£23k

£23k

£32k

£32k

£39k

£39k

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 is what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.

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This is the percentage of applicants to this course who received an offer last year, through Ucas.

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This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

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Course location and department:

This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

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Teaching Excellence Framework (TEF):

We've received this information from the Department for Education, via Ucas. This is how the university as a whole has been rated for its quality of teaching: gold silver or bronze. Note, not all universities have taken part in the TEF.

Have a question about this info? Learn more here

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).

We calculate a mean rating of all responses to indicate whether this is high, medium or low compared to the same subject area at other universities.

Have a question about this info? Learn more here

This information is from the Higher Education Statistics Agency (HESA).

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.

Have a question about this info? Learn more here

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.

Have a question about this info? Learn more here

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

Have a question about this info? Learn more here

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?

Have a question about this info? Learn more here