Mathematics and Statistics BSc (Hons)


Course Code

UCAS Code: GG13
International Code: EECU047


Coventry University (Coventry)


Study mode



3 years full-time
4 years sandwich

Start date

September 2022

Course overview

Study level: Undergraduate

This accredited course in Mathematics and Statistics can be a rewarding one for those with analytical minds and a love of data and results.

  • In today’s competitive world, many types of businesses and organisations are seeking out people who can interpret complex data and explain their findings and the implications simply and effectively.
  • If you like working with numbers, have strong IT skills and enjoy analysing information, a future career as a data analyst or statistician might be right for you. It could lead to roles in areas such as education to the environment, finance to forensics, sport technology or transportation.
  • This course combines the study of mathematics and data analysis, helping to prepare you to tackle a huge variety of interesting and engaging problems from business forecasting and simulation to medical statistics and survival analysis.
  • It aims to develop a range of core graduate skills, much valued by employers, including the ability to think clearly and logically, analyse complicated data sets, solve problems, make recommendations, and communicate technical information in a language everyone can understand.
  • Coventry University has a long tradition of teaching mathematics with a strong emphasis on its applications in practical situations. We a Strong portfolio of previous industrial research collaborations with, for example, the National Energy Laboratory, Calham Centre for Fusion Energy and Alcan.
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Global Ready

An international outlook, with global opportunities

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Teaching excellence

Taught by lecturers who are experts in their field

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Career ready graduates, with the skills to succeed

Why you should study this course

You’ll have access to our computing facilities, which enable you to gain experience using mathematical software packages, like MAPLE and MATLAB®. You’ll also receive one-to-one assistance from Sigma, the university’s Centre for Excellence in Mathematics and Statistics Support.

You’ll be taught by a teaching team which currently includes active researchers in applied mathematics and statistics. With expertise in fluid dynamics, complex systems and climate change, the team aim to share their current and published research findings through teaching and supervising projects.

We encourage you to adopt an international perspective with opportunities to conduct Online International Learning (COIL) activities with students from around the world, participate in field trips overseas or spend a year studying abroad in Europe, America or Australia*. We also provide support to help you apply for professional experience on placement opportunities. Previous sandwich year opportunities have been offered by GlaxoSmithKline pharmaceuticals, Jagex Game Studios, The Warner Bros, National Grid, Morgan Stanley financial services, E.ON, Cummins, TATA and Birmingham Airport.


of our Mathematics and Statistics BSc (Hons) students go on to work and / or study within 15 months after the course.

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Accredited by:

Institute of Mathematics and its Applications (IMA)

Institute of Mathematics and its Applications (IMA)

This course meets educational requirements of Chartered Mathematician status, awarded by the Institute of Mathematics and its Applications (IMA). This represents the first stage of two and you will need to undertake further training and experience in employment.

The University’s accreditation with IMA shall be up for renewal in 2021/22. We anticipate that our application for re-accreditation will be successful. If any changes occur with respect to our accreditation related to these courses, we will seek to notify applicants and students as soon as possible.

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What you'll study

Your first year lays the foundation for the study of mathematics and statistics, including topics such as algebra, calculus, and numerical methods. You should develop knowledge and understanding in the theory and practice of statistics, exploring the concept of probability.


  • This module builds a foundation for the study of statistics. It provides a foundational study of probability, and then builds on this to develop the necessary theory, methods and concepts that are needed to study statistics at a higher level.


  • This module provides core algebra for those undertaking degrees in the mathematics area. The aim of this module is to consolidate the different A levels and equivalent qualifications, and develop the material studied there to provide the underpinning for Year 2 modules.


  • This module provides core calculus for those undertaking degrees in the mathematics area. The primary aim of this module is to consolidate the material covered in the different A levels and equivalent qualifications, explore some of the advanced concepts needed for an extensive study of mathematics required for study in Year 2.


  • The aims of this module are to introduce ideas of mathematical modelling.


  • This module provides a foundation for the study of real and numerical analysis. The mathematical analysis part aims to provide you with a rigorous foundation in the analysis of sequences, series, and continuous functions. The numerical analysis part introduces a variety of numerical methods, most of which support the theoretical material by providing a numerical approach.


  • This module gives you the necessary skills to become a confident and independent learner and develop your professional competencies, including personal development planning, and mathematical programming.


  • You will also be able to take an Add+vantage module which can allow you to develop your CV by taking credits in an area of study that doesn’t have to be related to your degree. The assessment type will depend on the type of Add+vantage module you wish to take.


    Assessment: Coursework and exam

In the second year you will have the chance to develop the mathematics and statistics which you started to study in year one, concentrating on a core of algebra, calculus and statistic, and at this stage you will have the option of extending your study to include operational research, or to develop the applicable mathematics from year one.


  • The primary aims of the module are to provide underpinning mathematical methods and an introduction to abstract algebra (including some number theory), providing a first serious exposure to axiomatically defined mathematical structures and showing how they can be applied to combinatorial problems.


  • This module aims to introduce you to R (statistical programming language) and SPSS (statistical software package) and give you the skills and confidence to use both packages competently and professionally for data analysis.


  • This module intends to introduce basic facts on discrete Mathematics and Stochastic processes.


  • This module will introduce two of the most used statistical techniques, multiple regression, and analysis of variance (ANOVA). The ideas of statistical inference and statistical modelling will be thoroughly explored and expanded. A statistical package will be used throughout.


  • This module provides the focus for you to continue developing your professional competencies including personal development planning and reflection, independent learning, report writing, and presentation skills.


  • You will also be able to take an Add+vantage module which can allow you to develop your CV by taking credits in an area of study that doesn’t have to be related to your degree. The assessment type will depend on the type of Add+vantage module you wish to take.


    Assessment: Coursework and exam

  • Choose one of the following:

    Variational Methods and Numerical Analysis - 20 credits

    This module consists of study of the mathematical techniques of Variational Methods with the application to problems in physics. This involves situations where the maximum or minimum of a function are themselves a function and not a number.

    Differential Equations - 20 credits

    The module provides concepts and methods of solution of systems ordinary differential equations, including linear and nonlinear systems, qualitative theory, phase space, phase portraits, trajectories, and an introduction to the bifurcation theory for parametrized equations.

    Operational Research Techniques - 20 credits

    Operational Research concerns the application of certain mathematical methods that are useful for solving a variety of decision-making problems. The techniques developed also aim to improve the efficiency of processes and management of complex systems. 


Following successful completion of your second year, you will have an option to apply for a one-year professional work placement or study abroad in a partner institution

If you wish to undertake the optional study abroad/placement year, you will take either the Placement Year module or the Study Abroad Year module which both typically run for a full academic year between years 2 and 3 of your course. You are normally able to progress onto the relevant module if you have successfully completed the first two years of the course (i.e. having accumulated 240 credits) and have a confirmed opportunity two weeks prior to the start of the academic year, however we encourage international students to confirm their placements earlier to ensure they are able to meet any applicable visa requirements.

Students opting for either the work placement or study abroad will take an academic module in which they reflect on their experiences. The module appears on a student’s transcript as a zero credit module. They will be supported by the university’s Talent Team throughout the process and will be allocated a tutor who will keep in touch. 


  • Optional

  • Optional

The final year should continue to deepen your specialist knowledge, incorporating areas such as optimisation and statistical design, and a choice of optional modules from topics such as financial mathematics and cryptography.

You will also engage in a dissertation project carrying out in-depth statistical investigations in a field that interests you, under the supervision of one of our statisticians. Recent statistics project topics have included modelling of football data, medical data and environmental data.


  • This module builds on the regression and ANOVA techniques introduced in previous modules. It will consider Generalised Linear Models such as logistic regression and log-linear models for analysing binary and count data.


  • This module forms a major individual study at the honours level. You will take the responsibility of managing such a study through all its stages. The project will develop the skills of enquiry, research and innovation and enhances the critical and communication skills of the student.


  • The aim of this module is to develop your knowledge of further topics in linear algebra and their applications, and to develop independent learning, teamwork, and presentation skills.


  • You will also be able to take an Add+vantage module which can allow you to develop your CV by taking credits in an area of study that doesn’t have to be related to your degree. The assessment type will depend on the type of Add+vantage module you wish to take.


    Assessment: Coursework and exam

  • Choose one from the following:

    Optimization – 20 credits

    This module discusses the mathematics behind optimisation problems with discrete and continuous variables and with as well as without constraints.

    Business Simulation – 20 credits

    This module aims to enable you to learn the theory of computer simulation and process modelling, how it is used, tools and techniques for logic modelling for solving of real-life problems.

    Also. choose two from the following:

    Financial Mathematics – 20 credits

    The first aim of this module is to introduce you to the main instruments that are traded in the financial marketplace and to their practical uses for investment, hedging and speculation. The second is to equip you with an understanding of mathematical models and solution techniques that are currently used in the newly emerging field of financial engineering.

    Cryptography and Information Theory – 20 credits

    This module provides you with a fundamental knowledge of contemporary mathematical communication theory, ranging from entropy as a measure of information, through robust methods of encoding data via error correcting codes, to means of making messages secure by encryption.

    Advanced Topics in Statistics – 20 credits

    On completion of this module, you should be able to critically examine data as well as choose and apply appropriate statistical analyses using a range of advanced statistical methods.


We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated.

How you'll learn

Throughout the course, great emphasis is placed on practical skills development; some of your time being spent on computer laboratory sessions, which may involve the use of Mathematical software to solve mathematical problems, and we also run examples classes covering things like going over solutions to exercises.

You will have opportunities to work with staff on real-world problems from industry, commerce, and research groups, as you would in professional practice. This means that you may develop professional skills at the same time as you learn the technical content of your degree. In the past, projects have included forecasting wine sales and undertaking credit risk modelling.

We will encourage you to attend employer presentations organised by the university and we run our own sessions (subject to availability), which have previously covered government operational research and included some of our past students talking about their job roles and careers.

In a typical week your contact hours will be divided amongst personal tutorials and small group teaching; medium group teaching (for example seminars, tutorial sessions, lab sessions and workshops); and large group teaching (lectures).

In addition, you will be expected to undertake significant self-directed study each week depending on the demands of individual modules. The number of contact hours may vary from semester to semester, however, on average, it is likely to be around 18 contact hours per week in the first year, reducing by approximately 3 hours per week per year as you become a more independent learner; in addition to this you will meet either in a small group or individually with your personal tutor several times per semester, and have additional individual meetings with them by arrangement.


This course will be assessed using a variety of methods which could vary depending upon the module. Assessment methods may include formal examinations, coursework, including tests and group work and practical work.

The Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards the achieving the intended learning outcomes.

Job ready

On successful completion, you will have knowledge of:

  • The theory and practice of the methods of statistics and their application. 
  • The logical construction of a mathematical argument.
  • The application of mathematics to construct models and their resolution, with an appreciation of the validity of the model and the use of approximation.
  • The use a range of analytic and descriptive techniques.
  • The strengths and weaknesses of selected mathematical software and a selected programming or scripting languages and their use to extend capabilities.
  • A range of real-world applications of mathematics.

On successful completion, you will be able to:

  • Understand, reproduce, and generalise logical mathematical reasoning.
  • Organise and interpret information and results from mathematical models.
  • Analyse problems and construct an appropriate formulation and solution with relatively little guidance or support.
  • Use specialist modern information technology packages and a programming language confidently.
  • Use a wide range of information resources to acquire relevant information.

International experience opportunities

If you have a desire to gain international experience, there are opportunities to spend a year studying abroad. In the past, students have chosen to study Mathematics in St Marcus University in California, University of Malta, Stockholm University in Sweden, also universities in the Netherlands, Germany and Australia. Courses in all these Universities have been delivered in English.

The opportunity for a sandwich placement means we aim to support you in finding an internship and in seeking ways to finance that experience. Past students have gone to work in countries such as Malaysia, Belgium, and Spain.

Entry requirements

Typical offer for 2022 entry.

Requirement What we're looking for
A level BBC to include Mathematics at grade B or above. Excludes General Studies.
GCSE Minimum 5 GCSE's graded 9-4 / A* - C including English and Mathematics, or specified equivalents
BTEC Assessed on an individual basis
IB Diploma 29 points to include 5 points in Mathematics at Higher Level

We recognise a breadth of qualifications, speak to one of our advisers today to find out how we can help you.

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Are you eligible for the Fair Access Scheme?

We believe every student should have the opportunity to dream big, reach their potential and succeed, regardless of their background.

Fair Access Scheme

Select your region to find detailed information about entry requirements:

You can view our full list of country specific entry requirements on our Entry requirements page.

Alternatively, visit our International hub for further advice and guidance on finding in-country agents and representatives, joining our in-country events and how to apply.

English language requirements

  • IELTS: 6.0 overall, with no component lower than 5.5.

If you don't meet the English language requirements, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course. 

For more information on our approved English language tests visit our English language requirements page.

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Fees and funding

2022/23 Tuition fees

Student Full time Part time
UK £9,250 per year Not available
International £15,950 per year Not available

For advice and guidance on tuition fees and student loans visit our Undergraduate Finance page and see The University’s Tuition Fee and Refund Terms and Conditions.

We offer a range of International scholarships to students all over the world. For more information, visit our International Scholarships page.

Tuition fees cover the cost of your teaching, assessments, facilities and support services. There may be additional costs not covered by this fee such as accommodation and living costs, recommended reading books, stationery, printing and re-assessments should you need them. Find out what's included in your tuition costs.


The faculty of Engineering, Environment and Computing boasts modern, multifunctional teaching and research buildings that support hands-on learning. Laboratories and workshops are equipped to commercial and industrial standards and are available to students both in and out of class time (subject to availability).

Informal study areas

Informal study areas

You will have plenty of computer access to all the specialist software required for your studies. There are also bookable spaces where students can meet with academics or work in small groups.

sigma centre

sigma Centre

The sigma Centre is an award-winning mathematics support centre, which provides a wide range of learning resources in mathematics and statistics. Students can make use of drop-in sessions or one-to-one appointments.

maths laboratory

Mathematics laboratory

Set out like a traditional classroom with a large whiteboard, it is the only teaching room in the Engineering and Computing Building laid out in this way, designed to suit the teaching style required for this subject.

Careers and opportunities

Statisticians work in almost every sphere of life. Upon successful completion, there could be a wide range of career opportunities in areas such as business analysis, government planning, energy demand forecasting, scientific research, the pharmaceutical industry, medical statistics, market research, system reliability and quality control.

Where our graduates work

Previous students have worked as Financial Analyst at IBM, Gaming Financial Analyst for Warner Bros, Finance Assistant at Scottish Power, Business Performance Process Analyst at National Grid, Power analyst at E.ON, Customer Service Analyst for Cummins.

Further study

You can choose to continue your studies at Coventry University with the MSc Data science and computational intelligence. You may be entitled to an alumni discount on your fees if you decide to extend your time with us by progressing from undergraduate to postgraduate study.

How to apply

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  • Student Contract

    By accepting your offer of a place and enrolling with us, a Student Contract will be formed between you and the university. A copy of the 2021/22 Contract can be found here. The Contract details your rights and the obligations you will be bound by during your time as a student and contains the obligations that the university will owe to you. You should read the Contract before you accept an offer of a place and before you enrol at the university.

    Tuition fees

    The tuition fee for the course that is stated on the course webpage and in the prospectus for the first year of study will apply. We will review our tuition fees each year. For UK and EU students, if Parliament permit an increase in tuition fees, we may increase fees for each subsequent year of study in line with any such changes. Note that any increase is expected to be in line with inflation. Following the UK’s exit from the European Union, EU students should be aware that there may be a change to UK laws following the UK’s exit, this may change their student status, their eligibility to study part time, and/or their eligibility for student finance. We will act in accordance with the UK’s laws in force in relation to student tuition fees and finance from time to time.

    For International students the tuition fee that is stated on the course webpage and in the prospectus for the first year of study will apply. We will review our tuition fees each year. For international students, we may increase fees for each subsequent year of study but such increases will be no more than 5% above inflation.


    The majority of our courses have been formally recognised by professional bodies, which means the courses have been reviewed and tested to ensure they reach a set standard. In some instances, studying on an accredited course can give you additional benefits such as exemptions from professional exams (subject to availability, fees may apply). Accreditations, partnerships, exemptions and memberships shall be renewed in accordance with the relevant bodies’ standard review process and subject to the university maintaining the same high standards of course delivery. 


    Facilities mentioned on this page may not be relevant for every course. Due to the ongoing restrictions relating to COVID-19, some facilities (including some teaching and learning spaces) and some non-academic offerings (particularly in relation to international experiences), may vary from those advertised and may have reduced availability or restrictions on their use.

    Placements and study abroad opportunities

    Please note that we are unable to guarantee any placement or study abroad opportunities and that all such opportunities may be subject to additional costs (e.g. travel, visas and accommodation etc.), competitive application, availability and/or meeting any applicable visa requirements. To ensure that you fully understand the requirements in this regard, please contact the International Office for further details if you are an EU or International student.

    Additional costs

    This course may incur additional costs associated with any field trips, placements or work experience, study abroad opportunities or any other opportunity (whether required or optional), which could include (but is not limited to), equipment, materials, bench fees, studio or facilities hire, travel, accommodation and visas).