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Coventry University is a diverse and exciting place to work and we share the enthusiasm of our staff and students to be the best at whatever they choose to do. As one of the City’s biggest employers, we offer some impressive benefits for our staff and are committed to delivering the very best opportunities. We have a comprehensive training, personal and professional development programme that provides our employees with the skills to enhance their performance in the workplace and grow in their careers. There are pension schemes, a generous holiday allowance and flexible working opportunities as well as lifestyle benefits including childcare vouchers, discounted membership to the £4 million sports and recreation centre and schemes such as Cycle to Work and the CU Car Share initiative.

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Mathematics and Data Analytics MSci/BSc 2017/18 entry

Clearing 2017

Clearing places available on this course

We have limited places available on this course through Clearing. Contact us to discuss your options:

Know your results? See if we could offer you a place

Waiting for results day? Sign up for updates

EU Students. Find out how to apply

Reasons to make us your clearing choice

  • No. 12 UK University - The Guardian University Guide 2018
  • Awarded Gold in the Teaching and Excellence Framework (TEF)
  • 1st for overseas student experiences in 2015/16 - HESA 2017
  • UK’s top new university - The Guardian and the Complete University Guides 2018
Course code:

BSc - 256A
MSci - 257A

Study options:

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

Location:

Coventry University

Starting:

September 2017

 

Fees:
Faculty:

Get in touch

For questions regarding study and admissions please contact us:

+44 (0) 24 7765 2222


Overview

You may be surprised by how many doors a Maths and Data Analysis degree can open to you in the professional world – but everyone loves data!

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 in the 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

Employability

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.

97%

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

NSS, 2016

Course specification
Download PDF (965kb)

Modules

Overview

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.

Throughout your studies, there will be 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 aim to 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.

Modules

  • Statistics

  • Algebra

  • Calculus

  • Introduction to Computing

  • Enterprise Information Systems

  • Professional and academic skills 1

Add+vantage

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.

Overview

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.

Modules

  • 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

Add+vantage

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.

Overview

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.

Overview

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.

Modules

  • 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 

Add+vantage

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.

Overview

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.

Modules

  • Markov Chains

  • Machine Learning

  • Evolutionary and Fuzzy Systems

  • Artificial Neural Networks

  • Intelligent Information Retrieval

  • Business Intelligence and Big Data Processing

  • MSci Research Project

8th

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).
  • Opportunities to apply for 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.

Our main study themes are:

  • Data analysis and retrieval: 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: 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: the fundamental concepts of programming by learning and applying syntax, problem solving strategies and theory common to most programming languages. 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: 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 2016). 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. The University also runs 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 when starting the module by the module leader. 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 e.g. presentations: 6%

47% assessed by exams

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.

85%+

More than 85% of our graduates are in work or further study six months after the course

DHLE 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, there are opportunities to apply 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 aim to support you in applying for an internship anywhere in the world. 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)


2,101

Student experiences

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



16,000

and counting

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


21

global programmes

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

Clearing places available on this course

During Clearing, the tariff points for this course may change. Clearing tariff points will be published 14th August.

Know your results? See if we could offer you a place

Waiting for results day? Visit our Clearing pages for advice

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.

Starts

Fee


September 2017

£9,250 (per year)


Scholarships

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.

Starts

Fee


September 2017

£9,250 (per year)


Scholarships

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!

Starts

Fee


September 2017

£14,104 (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 excellent 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 apply to an appropriate placement. 

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 apply to your career.

85%+

More than 85% of our graduates are in work or further study six months after the course

DLHE 2014/15

£21K+

Our graduates earn an average salary between £21,000 and £25,000 six months after the course (DHLE 2014/15)

Disclaimer

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.