School of Computing, Electronics and Mathematics

BSc (Hons) Mathematics and Statistics

Are you interested in a career as a statistician or a data scientist? Our course equips you with high-level skills in pure and applied mathematics, probability and statistics to excel in your chosen career. Master the techniques and programming skills required for everything from measuring exposure to financial risk, to organising a large scale medical trial, or understanding the principles underlying management, decision making and logistics. Giving you the cutting edge in the workplace.

UCAS tariff
320
UCAS course code
GG13
Institution code
P60
Duration
3 years
(+ optional placement)
Course type
Full-time
Location
Plymouth

Key features

  • Study mathematics, statistics and their applications through modules in pure and applied mathematics as well as probability, statistics and operational research.
  • Choose from a wide range of final year options to follow your interests and shape your future career. These include financial mathematics and statistics and also medical statistics.
  • Enjoy teaching from leading mathematicians and statisticians: in the UK 2014 Research Excellence Framework 100 per cent of our research papers were classified as World Leading; 57 per cent as Internationally Excellent and 30 per cent as Internationally Recognised.
  • Learn high-level mathematical and statistical skills and master professional software used in industry, such as R, for statistics, MATLAB and Maple, right from the start of the course – equipping you with powerful tools to extract meaning from large data sets vital in today’s world of Big Data.
  • Enjoy outstanding teaching: we are ranked top for satisfaction with feedback on the 2015 Guardian university league table and 99 per cent overall satisfaction in the latest National Student Survey.
  • Refine your knowledge and skills, with teaching delivered and developed through lectures, tutorials, practical sessions and a variety of assessment methods: 96 per cent agreed ‘Staff are good at explaining things’ in the latest National Student Survey.
  • Receive excellent support in a friendly environment – from our open door policy, to the Maths Lab dedicated study space, to online support materials and clickers for immediate feedback in class, we’ll provide the support you need to reach your full potential.
  • Develop your oral, visual and written communication skills to become a confident, effective communicator able to work independently and in groups. In the latest National Student Survey 92 per cent of students agreed ‘As a result of the course, I feel confident in tackling unfamiliar problems’.
  • Strengthen your communication skills with our small group tutorial system.
  • Explore your interests with the flexibility to move between courses as you progress. 
  • Open the door to a successful future by taking our optional but highly recommended paid placement year – gaining valuable commercial experience so you’re primed for the career you want. Previous placement providers have included the Department for Communities and Local Government, Eli Lilly, Fujitsu, GlaxoSmithKline and Liberty Living.
  • Distinguish yourself professionally with a degree accredited by the Institute of Mathematics and its Applications, setting you on a path to Chartered Mathematician (CMath) status, and by the Royal Statistical Society for Chartered Statistician status.
  • Expand the ways you study with access to an extensive set of online support materials, including podcasts and eBooks, that you can freely access via your provided iPad mini.
  • Lay strong foundations for a successful future with a degree that employers value, or pave the way to a research degree often including funded places on MScs in medical and in financial statistics.
  • An impressive track record of graduate positions, with our graduates working for PAREXEL, Glory Global Solutions, KPMG, Towers Watson, Oxford Clinical Trials Research Unit and BT Retail.

Course details

  • Year 1
  • Learn high-level mathematical and statistical skills and master industry software including Matlab and Maple 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 and statistics. We’ve structured the curriculum so that all of our students acquire a common mathematical expertise. You’ll also be able to explore your interests with the flexibility to move between courses as you progress.
    Core modules
    • MATH1602 Calculus and Analysis

      This module covers key topics in calculus and analysis and prepares students for the rest of their degree. It has a greater emphasis on proof and rigour than at A-level and introduces some multi-dimensional calculus together with the reasoning skills needed for the development of modern mathematics. The rigorous underpinning of analysis will be developed and applied to limits of sequences, series and functions.

    • MATH1603 Linear Algebra and Complex Numbers

      This module explores the concepts and applications of vectors, matrices and complex numbers. The deep connection between algebra and geometry will be explored. The techniques that will be presented in this module are at the foundation of many areas of mathematics, statistics, physics, and several other applications.

    • MATH1601 Mathematical Reasoning

      This module introduces the basic reasoning skills needed for the development and applications of modern mathematics. The importance of clear logical thinking will be explored in various mathematical topics. This will include fundamental properties of prime numbers, their random generation and use in cryptography.

    • MATH1606 Numerical and Computational Methods

      This module provides an introduction to the Maple and Matlab software, computational mathematics and creating simple computer programs. Students will use Maple/Matlab interactively and also write procedures in the Maple/Matlab computer languages. The elementary numerical methods which underlie industrial and scientific applications will be studied.

    • MATH1605 Probability with Applications

      An understanding of uncertainty and random phenomena is becoming increasingly important nowadays in daily life and for a variety of fields. The aim of this module in probability is to develop the concept of chance in a mathematical framework. Random variables are also introduced, with examples involving most of the common distributions and the concepts of expectation and variance of a random variable.

    • BPIE100 Stage 1 Placement Preparation

      Focusing on assisting you in your search for a placement, this module will also help prepare you for the placement itself.

    • MATH1604PP Symmetry and Space

      This module will introduce the foundations of the study of symmetries - group theory, and the study of the characteristics of shapes and spaces - topology and geometry. The topics covered, and geometry in general, will be placed in the context of the wider discipline of mathematics, introducing their historical development and their relationship with (for example) art and physics.

  • Year 2
  • Study core modules including advanced calculus, analysis, ordinary differential equations, a case study-based introduction to operational research and Monte Carlo techniques. An advanced statistical module helps you to build on and develop your existing knowledge and expertise.

    Core modules
    • MATH2601 Advanced Calculus

      Partial differentiation is consolidated and applied to practical problems. Multiple integration is introduced. Vector calculus is introduced and its use in integration explored.

    • MATH2604 Mathematical Methods and Applications

      Vector calculus is extended to higher dimensions and applied to a range of important scientific problems primarily from classical mechanics and cosmology. Differential and integral calculus is applied to the solution of differential equations and the orthogonal functions bases are constructed. The crucial mathematical concepts of integral transforms (Fourier and Laplace) and Fourier series are introduced.

    • MATH2605 Operational Research and Monte Carlo Methods

      This module gives students the opportunity to work on open-ended case studies in operational research (OR) and Monte Carlo methods, both of which are important methods in, for example, industry and finance. It allows students to work on their own and in teams to develop specific skills in OR and programming as well as refining their presentation and communication skills.

    • MATH2603 Ordinary Differential Equations

      The module aims to provide an introduction to different types of ordinary differential equations and analytical and numerical methods to obtain their solutions. Extensive use will be made of computational mathematics packages. Applications to mechanical and chemical systems are considered as well as the chaotic behaviour seen in climate models.

    • MATH2606 Real and Complex Analysis

      This module deepens the student's understanding of real analysis and introduces complex analysis. The important distinction between real and complex analysis is explored and the utility of the complex framework is demonstrated. The central role of power series and their convergence properties are studied in depth. Applications include the evaluation of improper integrals and the construction of harmonic functions.

    • BPIE200 Stage 2 Placement Preparation

      Building on the year one module (BPIE100), this module continues supporting you with your search for a placement and your preparation for the placement itself.

    • MATH2602 Statistical Inference and Regression

      The module provides a mathematical treatment of statistical inference, including confidence intervals and hypothesis testing. Methods of estimation are explored, focusing on maximum likelihood estimation. The module also demonstrates the underlying mathematical theory of the general linear model, through a variety of applications, using professional software.

  • Optional placement year
  • 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 Department for Communities and Local Government, Fujitsu, GlaxoSmithKline, Vauxhall Motors, Liberty Living and Eli Lilly.
    Optional modules
    • BPIE331 Mathematics and Statistics Placement

      A 48-week period of professional training spent as the third year of a sandwich programme undertaking an approved placement with a suitable company. This provides an opportunity for the student to gain experience of how mathematics and statistics are used in a working environment, to consolidate the first two stages of study and to prepare for the final stage and employment after graduation.

  • Final year
  • Choose between several different project modules in mathematics, statistics or both, or opting to study a school-based module. Your studies will focus on a diverse range of topics from partial differential equations and optimisation to a wide variety of statistical modules including medical and Bayesian statistics. 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.

    Optional modules
    • MATH3606 Classical and Quantum Mechanics

      This module introduces advanced classical mechanics and the key ideas of quantum mechanics to students with a mathematics background. An overarching theme will be the key role of symmetry, both for classical motion and quantum behaviour.

    • MATH3613 Data Modelling

      This module provides an employment relevant tool box of statistical modelling techniques and a rigorous treatment of the some underlying mathematics. The Bayesian framework for statistical inference will be presented and compared with the classical approach. Relevant computational algorithms, including Markov chain Monte Carlo, will be described. Application rich modelling problems will be considered.

    • MATH3612 Dynamical Systems

      This module presents an introduction to the basic concepts and techniques needed to analyse nonlinear dynamical systems modelled by differential equations and difference equations. Both regular and chaotic dynamics will be explored.

    • MATH3611 Electrodynamics and Relativity

      This module introduces Maxwell's theory of electromagnetism and Einstein's theory of special relativity. It includes a wide range of applications of electromagnetism, the Lorentz transformations and some of the apparent paradoxes of relativity together with their resolution. It will also explain why E = mc^2.

    • MATH3610 Fluid Dynamics

      Fluid flow problems are formulated mathematically as systems of partial differential equations. These will then be solved and the results interpreted for a mixture of theoretical and practical examples of both inviscid and viscous fluid flows. Applications studied will include: aeronautics, ocean waves and a variety of industrial topics.

    • MATH3604 Geometry and Algebra

      Plane affine, hyperbolic, and projective geometries will be explored, from the Kleinian point of view. Then an introduction to rings and fields will be given with applications in geometry. All of these topics require a brief review of group theory.

    • MATH3601 Mathematical Sciences in Context

      This module is designed to be an alternative to the MATH3501 individual project. In the module students will perform structured investigations on a variety of advanced topics in mathematics and statistics. Written and oral presentations of the work will be made.

    • MATH3614 Medical Statistics

      The content includes the design and analysis of clinical trials, including crossover and sequential designs and an introduction to meta-analysis. Epidemiology is studied, including case-control and cohort studies. Survival analysis is covered in detail. Computer packages are used throughout.

    • MATH3607 Multivariate Statistics and Experimental Design

      This module covers the general principles of designing experiments and analysing the resulting data, together with methods for analysing multivariate data. Thorough practice is provided in applying all the methods learnt using appropriate computer software.

    • MATH3609 Optimisation, Networks and Graphs

      This module introduces the mathematics of continuous and discrete optimisation. It provides the theoretical background and practical algorithmic techniques required to model and solve a diverse range of problems.

    • MATH3605 Partial Differential Equations

      This module introduces Partial Differential Equations using real-life problems. It provides a variety of analytic and numerical methods for their solution. It includes a wide range of applications including heat diffusion and the Tsunami wave.

    • MATH3616 Professional Experience in Industry

      This module provides an opportunity for final year students to gain experience in applying mathematics in a professional environment and to develop relevant key competencies by working in a commercial environment for one day a week.

    • MATH3603 Professional Experience in Mathematics Education

      This module provides an opportunity for final year students to gain experience in teaching and to develop their key educational skills by working in a school environment for one morning a week over two semesters.

    • MATH3602 Project

      In this module students will work individually and independently, with help and advice from a supervisor, on a topic chosen by the student. This could range from a topic preparing for a particular career or a subject which the student is particularly interested in exploring in depth. Written and oral presentations of the work will be made.

    • MATH3615 Stochastic Calculus with Financial Applications

      This introduces stochastic processes with applications to real problems, especially finance. We introduce the basic concepts of stochastic processes and construct the stochastic integral with respect to Brownian motion. We show how to formulate and solve stochastic differential equations and illustrate these concepts in a variety of examples.

    • MATH3608 Time Series Analysis and Modelling

      This module introduces students to the concepts and methods of time series analysis and modelling for a variety of applications, including finance. The module reviews the main time series models and inferential techniques. Model selection and forecasting are treated both at methodological and computational levels.

The modules shown for this course are those currently being studied by our students, or are proposed new modules. Please note that programme structures and individual modules are subject to amendment from time to time as part of the University’s curriculum enrichment programme and in line with changes in the University’s policies and requirements.

Entry requirements

320 points from a minimum of two A levels including grade A in mathematics.

International Baccalaureate: 30 points with higher level mathematics at grade 5.

18 Unit BTEC National Diploma/QCF Extended Diploma: DDM in a related subject. Also requires individual interview/diagnostic test.

Access Course: Pass an Access to HE Diploma with at least 33 credits at merit and/or distinction and to include at least 12 credits in maths units at merit. Also requires individual interview/diagnostic test.

Other qualifications are also welcome and will be considered individually, as will be individuals returning to education, email maths@plymouth.ac.uk

Students may also apply for the BSc (Hons) Mathematics and Statistics with Foundation Year. Successful completion of the foundation year guarantees automatic progression to the first year of any of our mathematics courses.




Fees & funding

For all information about tuition fees, please visit our fees and funding pages.
Scholarships and Awards  
For 2015 entry, we have the following scholarship: 
  • Mathematics Scholarship: students are eligible for a £500 automatic scholarship if they have a grade A* in A-level Mathematics plus £500 for an A in Further Mathematics, up to a total of £1,000. To be eligible for this scholarship, students must put us as their first choice before 1 August 2015. The scholarship is paid in term one of the first year. 
  • There are additional prizes and awards to reward high marks in later years.

How to apply

All applications for undergraduate courses are made through UCAS (Universities and Colleges Admissions Service). 

UCAS will ask for the information contained in the box at the top of this course page including the UCAS course code and the institution code. 

To apply for this course and for more information about submitting an application including application deadline dates, please visit the UCAS website.



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Information required by UCAS

Institution code
P60
UCAS code
GG13
Campus code
There is no campus code
Application deadline
See UCAS website for deadline dates
Apply now
http://www.ucas.com/apply

Open days

A number of open day events are held each year, welcoming you to the campus to find out more about the University, accommodation, facilities and study opportunities.

Find out more from our open days section or register to come and see us using a short open day registration form.

Studying mathematics and statistics

Use mathematics to problem solve and master statistical software used in industry – equipping you with powerful tools vital in today’s world of Big Data.

This course includes high level mathematical and statistical theory with a wide range of applications and often using real-world data.

Find out more about studying mathematics and statistics

Technology supported learning

From podcasts, online videos, eBooks and electronic copies of lecture notes, to in-class voting and online feedback, you’ll have access to all the resources you need with your own Apple iPad mini. You can also use this to create podcasts in assessments.

Access to University online systems such as module sites, the eLibrary and email at your fingertips.

Supporting you to succeed

Benefit from outstanding teaching: we are ranked top for satisfaction with feedback on the 2015 Guardian university league table and enjoy 99 per cent overall satisfaction in the latest National Student Survey.

From our open door policy and personal tutors to your own iPad and ebook library, benefit from the support you need to match your needs and ambitions.

Find out more about the varied support available to you

Welcome to mathematics at Plymouth

Professor David McMullan, Head of Mathematics and Statistics, and final year student Dan Hodges discuss what it’s like to study here and show you some of our facilities.

Watch and discover more about studying mathematics at Plymouth University.

Meet some of your lecturers