Mathematics with Statistics
University of Plymouth
UCAS Code: G1G3 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
112 to 128 UCAS points to include a minimum of 2 A levels including Grade B in Mathematics or Further Mathematics. (Pure Maths, Pure and Applied Maths, Maths and Statistics, Maths and Mechanics are also accepted as they are considered the same as the Maths A Level).
Considered in combination alongside A Level Mathematics or Further Mathematics.
Interview and diagnostic maths test required. Standard offer would then be to Pass Access to HE Diploma with at least 33 credits at Merit and/or Distinction and to include at least 12 credits in Mathematics units with Merit.
Considered in combination alongside A Level Mathematics or Further Mathematics.
Considered in combination
International Baccalaureate Diploma Programme
To include Grade 5 in Higher Level Mathematics. English Language accepted within.
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)
including Mathematics.
Considered in combination alongside A Level Mathematics or Further Mathematics.
Considered in combination alongside A Level Mathematics or Further Mathematics.
Considered in combination with A Level Mathematics or Further Mathematics.
Considered in combination with A Level Mathematics or Further Mathematics.
Considered in combination with A Level Mathematics or Further Mathematics.
Considered following Interview and/or diagnostic Maths test . Standard offer would be in the range of DDM to include a Distinction in a Mathematics unit.
Considered in combination with A Level Mathematics or Further Mathematics.
Considered in combination alongside A Level Mathematics or Further Mathematics.
120 points including a Grade B in Advanced Highers Mathematics.
Considered in combination with Advanced Highers
UCAS Tariff
To include a minimum of 2 A levels, including grade B in Mathematics or Further Mathematics. (Pure Maths, Pure and Applied Maths, Maths and Statistics, Maths and Mechanics are also accepted as they are considered the same as the Maths A Level).
Considered in combination
About this course
This course has alternative study modes. Contact the university to find out how the information below might vary.
This course offers you an opportunity to combine your passion for mathematics with the latest statistical modelling and data analysis methods with many real-world applications. You will explore topics from familiar areas such as calculus, algebra and probability in a new and inspiring way,and extend your knowledge into more advanced topics such as statistical modelling and computer simulations, with applications in medicine and finance.
You will become a creative and analytical problem solver, able to discuss technical results with non-specialists. These are skills that are highly sought after by employers.
- Learn with excellent research-active lecturers, who design clinical trials, collaborate with national and international health organisations, and provide consultancy to environmental organisations, medical practitioners and financial institutions.
- Experience hands-on learning by working on real-life case studies provided by established companies including Babcock, BT and Plymouth Community Homes.
- Gain high-level programming skills and become proficient in using state-of-the-art mathematical and statistical software including Python, R and Stan.
- Benefit from being part of the close-knit, collaborative and supportive family that is Mathematical Sciences at Plymouth. This includes small group tutorials, study space next to staff offices, our lecturers’ open-door policy, student-led learning sessions and the Maths Society.
- Enjoy new facilities – state of the art lecture theatres, computer laboratories, study and social spaces – in our £50 million teaching and research building.
- Core modules are shared with BSc Mathematics, allowing the flexibility of easy transfer to our other mathematics degrees.
- Meet the mathematics and statistics of sustainability and climate change in our Mathematics of Planet Earth module.
Modules
Learn the underlying mathematics that underpins the rest of your degree and master coding in the industrial software Python, right from the start. You’ll begin by building on the mathematical skills and topics you learnt at school, studying six core modules including calculus, linear algebra, numerical methods, pure mathematics, and probability. We’ve structured the curriculum so that all of our students acquire a common mathematical expertise, so you’ll also have the flexibility to move between courses as you progress.
In your second year, study core topics including statistics and statistical modelling, advanced calculus, analysis and ordinary differential equations. You will also have a case study-based introduction to operational research and Monte Carlo techniques.
Take an optional but highly recommended paid placement year. Your placement will provide valuable professional experience, enhancing your employability and making your CV really stand out. Previous placement with world renowned companies have included the Fujitsu, GlaxoSmithKline, Vauxhall Motors, Liberty Living, Eli Lilly and the Department for Communities and Local Government.
In your final year choose between several different project modules in mathematics, statistics or both, or opt to gain experience of teaching in a school. You will meet a wide range of statistical techniques, including medical and Bayesian statistics. You can also study a broad set of mathematical topics from partial differential equations to optimisation. After graduating, you’ll have the skills and experience needed to begin your career, or to take a research degree – often including funded places on MSc's in medical and financial statistics.
The modules shown for this course or programme are those being studied by current students, or expected new modules. Modules are subject to change depending on year of entry and up to date information can be found on our website.
Assessment methods
For up to date details, please refer to our website or contact the institution directly.
The Uni
University of Plymouth
School of Engineering, Computing and Mathematics
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.
£20k
£23k
£32k
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.
£20k
£23k
£32k
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.
Explore these similar courses...
Higher entry requirements
Lower entry requirementsSame University
Nearby UniversityThis is what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.
Have a question about this info? Learn more here
This is the percentage of applicants to this course who received an offer last year, through Ucas.
Have a question about this info? Learn more here
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.
Have a question about this info? Learn more here
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.
Have a question about this info? Learn more here
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).
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.
Have a question about this info? Learn more here
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.
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
