Mathematics and Data Analytics BSc/Msci | Coventry...

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Mathematics and Data Analytics MSci/BSc (Hons) 2018/19 entry

Course code:


Study options:

3 years
4 years sandwich or study abroad
4 years full-time, 5 years sandwich or study abroad


Coventry University


September 2018



Get in touch

For questions regarding study and admissions please contact us:

+44 (0) 24 7765 2152


Big Data has become a major phenomenon in the 21st century world of business, rendering traditional data processing applications inadequate and increasing the demand for sophisticated data analysts who can collate, interpret and draw value from complex data sets.

Responding to this trend, our new integrated Master’s course brings together a range of mathematical, statistical and computational techniques, which incorporate probability, predictive analytics and advanced modelling to extract value and make sense of multiple sets and large amounts of data. As an integrated undergraduate and postgraduate course, you can qualify at Master’s Level.

One of the top 15 universities in the country (Guardian University Guide 2018), Coventry has a long tradition of teaching mathematics with a strong emphasis on its applications in practical situations. 

Why Coventry University?

An award-winning university, we are committed to providing our students with the best possible experience. We continue to invest in both our facilities and our innovative approach to education. Our students benefit from industry-relevant teaching, and resources and support designed to help them succeed. These range from our modern library and computing facilities to dedicated careers advice and our impressive Students’ Union activities.

Global ready

An international outlook, with global opportunities


Career-ready graduates, with the skills to succeed

Teaching Excellence

Taught by lecturers who are experts in their field

Course essentials

A degree which offers you more, at no extra cost

Course information

Businesses and organisations from almost every sector have woken up to the power of data analytics. Used effectively, they can inform decision making within business and finance, predict and dispense medical treatment within the healthcare system and help improve performance in sports or interpret data from smartphone apps like Nike+ and Hawk-Eye in cricket and tennis.

Throughout your studies, you will have opportunities to participate in a series of skills development sessions to improve your digital literacy, as well as presentation and writing skills, particularly in a mathematical context. We will familiarise you with a range of computational software related to the fields of mathematics and statistics, such as R, SPSS, LaTeX, Excel, Matlab, Python, Maple and Minitab.


of our students are satisfied with the mathematics and statistics content of the course

NSS, 2016

Course specification
Download PDF (965kb)



The first year lays the foundation of the mathematical and computational foundations on which the rest of the course builds, with an introduction to computing, data structures, probability and exploratory data analysis.


  • Statistics

  • Algebra

  • Calculus

  • Introduction to Computing

  • Enterprise Information Systems

  • Professional and academic skills 1


The focus on preparing students for successful futures sets Coventry apart as a university.

The Add+vantage modules teach a range of work experience and extra-curricular activities that are taken each year, and broaden students knowledge and skills within a work focused environment. There is a very wide range of Add+vantage free-choice subject areas, and they are arranged in themes.


During the second year, you we aim to strengthen your knowledge of the core mathematical methods, broadening the data analytic and statistical elements. Your study will have a strong practical emphasis in modern data analysis, so we will examine how statistical inference and modelling is applied in areas such as industry, medicine, agriculture, commerce, government, research and development.

We will provide training in R and SPSS, two of the leading commercial software packages for data entry and manipulation, exploratory data analysis, the creation of professional charts and tables and a variety of statistical analyses.


  • Further algebra and calculus

  • Statistical Computing

  • Data and Information Retrieval

  • Linear statistical models

  • Professional and academic skills 2

  • Optional modules

    1 from the following:

    • Discrete Mathematics
    • Software Engineering
    • Operational Research Techniques


The focus on preparing students for successful futures sets Coventry apart as a university.

The Add+vantage modules teach a range of work experience and extra-curricular activities that are taken each year, and broaden students knowledge and skills within a work focused environment. There is a very wide range of Add+vantage free-choice subject areas, and they are arranged in themes.


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


In the third year, you should continue to deepen your specialist knowledge and can opt to engage in a dissertation project, carrying out in-depth data analysis in a field that interests you, under the weekly supervision of our statisticians. Recent statistics project topics have included modelling of football data, medical data and environmental data, forecasting wine sales and credit risk modelling.


  • Coding and cryptography

  • Business Simulation

  • Either Statistics Project or Advanced Topics in Mathematics

  • Professional and academic skills 3

  • Optional modules

    2 from the following:

    • Agile Development
    • Optimisation
    • Advanced topics in statistics 


The focus on preparing students for successful futures sets Coventry apart as a university.

The Add+vantage modules teach a range of work experience and extra-curricular activities that are taken each year, and broaden students knowledge and skills within a work focused environment. There is a very wide range of Add+vantage free-choice subject areas, and they are arranged in themes.


In the fourth and final year of the course, successful students should acquire knowledge of how to analyse more complex, high-volume, high-dimensional, structured and unstructured data from varying sources. You should also learn to create relevant software solutions to be used in data science.


  • Markov Chains

  • Machine Learning

  • Evolutionary and Fuzzy Systems

  • Artificial Neural Networks

  • Intelligent Information Retrieval

  • Business Intelligence and Big Data Processing

  • MSci Research Project


Our mathematics courses are ranked 8th in the UK by the Guardian University Guide 2018

In more detail...

  • Coventry University is rated 8th best in the UK for ‘Mathematics’ in the Guardian University Guide 2018.
  • Strong portfolio of industrial research collaborations with, for example, the National Energy Laboratory, Calham Centre for Fusion Energy and Alcan.
  • Taught by staff conducting cutting-edge research; 86% of our research outputs were deemed world-leading or internationally excellent in the Research Excellence Framework (REF 2014).
  • Our sister Mathematics and Statistics degree, which shares some of the modules on this new course, has outstanding levels of student satisfaction – 100% overall and 98% for the quality of teaching in the National Student Survey (NSS) 2016.
  • Student exchanges and visiting scholars thanks to close links with the University of Grenoble and are members of the FrancoGerman Doctoral School for Complex Systems and Out-of-Equilibrium Systems, together with the Universities of Lorraine, Leipzig and Lviv.

Extensive industry links with potential employers and placement opportunities with companies that have previously included: National Grid, GlaxoSmithKline pharmaceuticals and Morgan Stanley financial services.

Your main study themes are:

  • Data analysis and retrieval: Provides an insight into how data and information retrieval systems are designed, including database concepts, theory and design with practical use of database and information retrieval tools and techniques.

  • Statistics: You will learn techniques for the collection, analysis, interpretation, presentation, and organisation of different types of complex data. We will cover probability, hypothesis tests, analysis of variance, regression models, design of experiments, a range of advanced topics in statistics and statistical computing.

  • Computing: We aim to give you an understanding of the fundamental concepts of programming by learning and applying syntax, problem solving strategies and theory common to most programming languages. At the same time, we will look at professional practices associated with the industry and key software development concepts, such as testing code, version control, functional decomposition and interacting with non-technical colleagues and clients. 

  • Algebra and calculus: You will cover the core mathematical methods with an introduction to abstract algebra, including some number theory. We will examine the theory of real functions and the mathematics underpinning it.

The programme can be studied full-time over three years of study with the option of extending this to four years, by taking a sandwich year in the form of an industrial training placement or study abroad between Year 2 and Year 3.

We are immensely proud of the high levels of student satisfaction on our suite of Mathematics courses – 100% overall for Mathematics and Statistics in the latest National Student Survey (NSS). All students said they feel staff are good at explaining things, have made the subject interesting and are enthusiastic about what they are teaching.

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 can develop professional skills at the same time as you learn the technical content of your degree.

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

The learning outcomes of modules, assignments and projects will be clearly stated. Your work will be marked according to how well you achieve these learning outcomes and your final feedback will refer to each outcome, as well as providing an overall percentage grade. You need to achieve an average of 40% or above to pass each module; marks of 70% or above are classified as ‘First Class’.

An estimated percentage breakdown of your final grade assessment is as follows:

  • Formal examinations: 47%
  • Coursework, including tests and group work: 47%
  • Practical work eg. presentations: 6%

47% assessed by coursework

On successful completion, you should have knowledge of:

  • 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, statistics and data analytics techniques some set in an international context.


On successful completion, you should 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.


On average 88% of our graduates are in work or further study six months after the course

DLHE 2014/15

In a typical teaching week, you will have up to 15-19 ‘contact’ hours of teaching. This generally breaks down as:

  • Personal tutorial/small group teaching: 1 hour of personal academic tutorial each week; 1 hour of individual project supervision (in year 3) per week.
  • Medium group teaching: 6-12 hours of tutorials, laboratories and studio sessions each week.
  • Large group teaching: 6-12 hours of lectures each week.

In addition, you will be expected to undertake a further 20 hours of self-directed study each week eg. guided study using handouts, online activities etc.

If you have a desire to gain international experience it is possible 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 are delivered in English.

The opportunity for a sandwich placement means we will also support you in finding an internship anywhere in the world and in seeking financing for that experience. Past students have gone to work in countries such as Malaysia, Belgium and Spain.

Global ready

Did you know we help more students travel internationally than any other UK university according to data from the experts in higher education data and analysis, HESA?

In 2015/16, we were able to provide a total of 2101 experiences abroad that lasted at least five days, 76% of which were our own organised trips for undergraduates and 23% from postgraduate travel.

Much of this travel is made possible through our Global Leaders Programme, which enables students to prepare for the challenges of the global employment market, as well as strengthening and developing their broader personal and professional skills.

Explore our international experiences

1st for

international experiences

Sending more students overseas than any other UK uni (HESA)


Student experiences

The number of student trips abroad for at least 5 days in 2015/16


and counting

The number of students we’ve helped travel internationally so far


global programmes

As well as trips, we offer other opportunities like language courses

Entry Requirements

University Course Code: EECU001 - BSc - 256A
A Level BTEC IB Diploma GCSE requirement
BBC to include Mathematics. Excludes General Studies. Assessed on an individual basis. 29 points to include 4 points in Mathematics at Higher level. 5 GCSEs at grade A*-C including English and Mathematics or specified equivalents.



University Course Code: EECU001 - BSc - 257A
A Level BTEC IB Diploma GCSE requirement
ABB to include Mathematics. Excludes General Studies. Assessed on an individual basis. 31 points to include 4 points in Mathematics at Higher level. 5 GCSEs at grade A*-C including English and Mathematics or specified equivalents.


A-Level applicants are required to have three
 A2 Levels. Coventry University may include AS grades within an offer for certain courses, but we are not able to accept two AS Levels in place of one A2 Level. In some courses it may be necessary for entrants to have passed specific A2 Levels in nominated subjects. Please see the course pages for more information.

Access Diplomas

The Access to HE Diploma to be assessed on an individual basis.

Coventry University welcomes applicants who have completed, or who are studying, the Access to HE Diploma developed by the Quality Assurance Agency for Higher Education (QAA). Successful completion of the course will require you to gain 60 credits with at least 45 to be achieved at Level 3 (with the remainder at Level 2). In some cases we will require you to have gained Merit or Distinction grades in a number of units or in nominated subjects. For more information on the entry requirements for your chosen course please see the relevant course pages.

BTEC Level 3 Diplomas

The University will accept the BTEC Level 3 Extended Diploma for entry to most courses. In some cases we will require applicants to have studied either certain named modules or a specific named Diploma. The appropriate course page will have full information on the entry requirements. The University also accepts the BTEC Level 3 Subsidiary Diploma and BTEC Level 3 Diploma for entry to degree programmes, provided that they are studied in combination with other qualifications that provide a total volume of study that is equivalent to three A2 Levels. For example, you could be studying a BTEC Level 3 Diploma plus an A2 Level, or a BTEC Level 3 Subsidiary Diploma plus two A2 Levels. Where a specific A2 or BTEC subject is required for entry then you must be offering this as part of your combination of qualifications.

Please visit our page on European entry requirements for more information about specific country information.

English as a Foreign Language This course requires IELTS 6.0. Pre-sessional English is available if required.

Our International Student Hub offers information on entry requirements for your country, as well as contact details for agents and representatives should you need more advice.

More detail

Select your region to find detailed information about entry requirements:

English as a Foreign Language This course requires IELTS 6.0. Pre-sessional English is available if required.

Our International Student Hub offers information on entry requirements for your country, as well as contact details for agents and representatives should you need more advice.

More detail

Unconditional offers

We want to recruit the best students to Coventry and having assessed applicants' past, current and predicted performance and commitment to the course we feel that it is appropriate to reward consistently high-achieving students with an unconditional offer from a top university. It is a commitment from us with regard to an applicants’ potential as an excellent undergraduate and we hope that this will encourage such applicants to join the Coventry community.

Personal statements and references will also be taken into account and, for some degree courses, an interview will form part of the assessment. The criteria for unconditional offers will vary across the University as entry requirements for specific courses differ and not all degree courses will be taking part in the Scheme. The unconditional offer will be confirmed once a selected applicant has made Coventry their firm choice.

Coventry University has assessed that you are capable of achieving excellent grades and we have demonstrated this belief by making you an unconditional offer. This is our commitment to you so then we ask that you reciprocate this commitment by selecting us as your ‘firm’ choice and activating your unconditional offer.

We will consider other qualifications for a pre-result unconditional offer providing that you have an appropriate proven performance at GCSE (or equivalent) level and predicted grades in line with grades that we expect to see at A-level. Other qualifications that we may consider for a pre-result unconditional offer include: the International Baccalaureate Diploma, BTEC Level 3 qualifications, Cambridge Pre-U and combinations of qualifications (e.g. BTECS plus A-levels).

An unconditional offer is what it says it is. So if you don’t meet your predictions then your place at Coventry is still guaranteed. However we would hope and expect that you continue to work hard to make the most of your potential and be best prepared to study at university level.

We can’t but our experience over the years has shown us that students like you with a track record of high grades and excellent predictions are very likely to achieve those grades. Our assessment takes into account all elements of your application to allow us to take a holistic view of your potential. There is still the opportunity to gain one of the Coventry University Scholarships if you achieve the required grades so there is a financial incentive to aim high. Unconditional offers are only made to individuals who have demonstrated their commitment so we believe their focus and determination is unlikely to waver in the final stages of their qualifications.

No, the unconditional offer is only available to those who will take up their place in 2017.

Tuition Fees

We pride ourselves on offering competitive tuition fees which we review on an annual basis and offer a wide range of scholarships to support students with their studies. Course fees are calculated on the basis of what it costs to teach each course and we aim for total financial transparency.

For more information, please visit our Finance pages.



September 2018

£9,250 (per year)


If you're a truly outstanding undergraduate candidate we may be able to offer you a Coventry University Scholarship.

Coventry University Scholarships are awarded to recognise truly exceptional sports achievement and academic excellence.



September 2018

£9,250 (per year)


For the September 2017 and January 2018 intakes, we're investing £1 million into scholarships for high achieving and enterprising students.

Our scholarships are worth up to £10,000 and every student that applies will be considered. Fulfil your potential this academic year with Coventry University!



September 2018

£14,850 (per year)

Course essentials at no extra cost

We're committed to communicating study costs clearly to make sure you're not faced with having to make any unexpected payments.

This is why our ‘Flying Start’ package provides you with a few course essentials. Your full-time fee for an undergraduate degree will cover the following:

UK field trips

Any mandatory site visits and trips within the United Kingdom.

Key material

This can include core textbooks, software and equipment.

Laser prints

1,000 A4 sides of black and white laser printing credits per year.

Optional year

Pay no tuition fees for optional work placements or study abroad trips.

The following are additional costs not included in the fees:

  • Any optional overseas field trips or visits: £400+ per trip

Career prospects

Data analysts have job prospects in areas such as business analysis, risk analysis, energy demand forecasting, health analytics, sports analytics, web analytics, games data analytics, social media analytics and many, many more.

Our suite of Mathematics degrees has an outstanding track record in employability with 93% of BSc (Hons) Mathematics graduates in work or further study after six months (DLHE 2014/15) and 76% of those employed in professional roles.

To improve your employment prospects and gain valuable professional experience, we strongly encourage you to spend a year on industrial training after Year 2. Our award-winning Faculty careers service, EC Futures, which won the ‘Best Placement Service in the UK’ award at the National Undergraduate Employability Awards in 2015 and 2016, will provide assistance to help you find an appropriate placement. 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.

The University’s careers services can help you in applying for graduate jobs in your final year of study. Recent graduates on similar courses have embarked on Finance Graduate Schemes, as a customer services analyst, graduate actuary, information analyst and trainee accountant for companies like E-On, National Grid, Thames water, NHS, Hodge Lifetime Solutions and Prime Accountants. Others have also used their qualifications to progress into teaching careers, as well as postgraduate study to obtain MSc, MPhil and PhD qualifications.

Coventry University is committed to preparing you for your future career and giving you a competitive edge in the graduate job market. The University’s Careers and Employability team provide a wide range of support services to help you plan and prepare for your career.


On average, 88% of our graduates are in work or further study six months after the course

DLHE 2014/15


Our graduates earn an average salary between £18,000 and £23,000 six months after the course (DLHE 2014/15)


By accepting your offer of a place with us, a Student Contract (“the Contract”) will be formed between you and the University. The Contract will detail all of your rights and also the obligations you will be bound by during your time as a student and will also contain all of the obligations that the University owes to you.  We would encourage you to read the Student Contract before you accept any offer of a place at the University. A copy of the Contract can be found here.

The tuition fees stated on the course webpage, prospectus and your offer letter will apply for the duration of your course, subject only to changes to the law or government requirement.

*Due to a delay in the UK Government's announcement of the Retail Price Index, the University is unable to set its fees for entrants in 2018 at this stage. Please note that we set fees for individual courses, and fees from previous years are no indication of fees for future years.