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Mathematics with Statistics at University of Plymouth - UCAS

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

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.

  • 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.
  • 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.

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 method

For up to date details, please refer to our website or contact the institution directly.

Qualified teacher status (QTS)

To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:

  • Course does not award QTS

How to apply

Application codes

Please select a course option – you will then see the application code you need to use to apply for the course.

Points of entry

The following entry points are available for this course:

  • Year 1
  • Year 2
  • Year 3

Entry requirements for advanced entry (i.e. into Year 2 and beyond)

Please contact the institution directly for entry criteria

International applicants

The University of Plymouth has a dedicated International Student Advice (ISA) service who will support you from the day you accept an offer at the University, right through to graduation. They will offer help and advice so you can get the most out of your studies, and your time in the UK, visit www.plymouth.ac.uk/student-life/services/international-students/international-student-advice for more information. Once you have applied through UCAS, your conditional offer letters will also be sent to you by email, so be sure to enter your current email address on your application and to check this email regularly. You'll need your unconditional letter, and the Confirmation of Acceptance for Studies (CAS) that we'll send you, when applying for your student visa to the UK. A tuition fee deposit will be required before we'll send you the CAS. We're a licenced Sponsor under the Points Based System. To comply with our duties as a Sponsor, we're required to check other aspects of your application in addition to your academic achievements, for example any previous studies, financial status and your immigration history in the UK. For course entry requirements (inc. English requirements) please refer to the specific page for the course you are interested in (www.plymouth.ac.uk/study). A recognised English language qualification (e.g. IELTS) would be required or successful completion of one of the University's pre-sessional English Language courses. Check our country pages to find out more about application from your specific home country www.plymouth.ac.uk/international/study/international-students-country-guides. International fees, please visit our fees and funding pages www.plymouth.ac.uk/study/fees. If you have any questions please contact [email protected]

Entry requirements

Qualification requirements

Must have GCSE English and Maths at Grade C/ 4 or above.


Student Outcomes

Operated by the Office for Students
50%
Employment after 15 months (Most common jobs)
90%
Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

For all information about tuition fees, please visit our fees and funding pages at www.plymouth.ac.uk/study/fees * Fees are correct at the time of publication and may be subject to change.
Mathematics with Statistics at University of Plymouth - UCAS