Mathematics and Data Analytics MSci/BSc (Hons) 2019/20 entry

Clearing 2019

Clearing places available on this course

We have limited places available on this course through Clearing.

Rise above

 

As some of my lecturers still work in industry, they understand how the sector is constantly improving and evolving which I find very inspirational.

Unjali, Media Production BA (Hons)

Course code:

BSc - 256A
MSci - 257A

Study options:

3 years full-time
4 years full-time
4 years sandwich
5 years sandwich

Location:

Coventry University

Starting:

September 2019

 

Fees:
Faculty:

Get in touch

For questions regarding study and admissions please contact us:

+44 (0) 24 7765 2222
ukadmissions@coventry.ac.uk

Overview

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 2020), 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.

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.

Course specification
Download PDF

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.

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

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.

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 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

  • Markov Chains

  • Machine Learning

  • Evolutionary and Fuzzy Systems

  • Artificial Neural Networks

  • Intelligent Information Retrieval

  • Business Intelligence and Big Data Processing

  • MSci Research Project

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.

15th

We are ranked as the 15th best University in the United Kingdom - Guardian University Guide 2020.

In more detail...

  • 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.

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

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. Assessments may include exams, individual assignments or group work elements.

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.

88%

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 2016/17, we were able to provide a total of 3,482 experiences abroad that lasted at least five days.

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 2016/17)


3,482

Student experiences

The number of student trips abroad for at least 5 days in 2016/17


21,000

and counting

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


12

global programmes

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

Clearing places available on this course

See if you have enough points (UCAS tariff 2019)

Don't know your points total? Work it out
Additional requirements may apply

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 2019

£9,250 (per year)


UK 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 2019

£9,250 (per year)


EU Scholarships

For the September 2019 intake we're investing in a range of EU Academic Excellence scholarships for high achieving and enterprising students. Fulfil your potential this academic year with Coventry University!

Starts

Fee


September 2019

£15,600 (per year)


International Scholarships

For the September 2019 intake we're investing in a wide range of Academic Excellence scholarships for high achieving and enterprising international students. Fulfil your potential this academic year with Coventry University!

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

EU student fees

EU nationals and their family members starting in the 2019/20 academic year remain eligible for the same fees as home students and the same financial support. Financial support comes from Student Finance England, and covers undergraduate and postgraduate study for the duration of their course, providing they meet the residency requirement.

For tuition fee loans

EU nationals must have resided in the European Economic Area (EEA) or Switzerland for the three years prior to the start of their course. The purpose of that three year residency should not have been mainly for the purpose of receiving full time education.

For maintenance loans

EU nationals must have resided in the UK and Islands for the five years prior to the start of their course. The purpose of that five year residency should not have been mainly for the purpose of receiving full time education.

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, EEC 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.

88%

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

DLHE 2014/15

£18K

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

Disclaimer

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 19/20 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.

The University will charge the tuition fees that are stated on the course webpage and in the prospectus for the first year of study. The University will review tuition fees each year. For UK and EU students, if Parliament permit an increase in tuition fees, the University may increase fees for each subsequent year of study in line with any such changes. Note that any increase for UK and EU Students is expected to be in line with inflation. For international students, the University may increase fees for each subsequent year of study but such increases will be no more than 5% above inflation.

Coventry University ranked 15 in the UK
Coventry University awarded TEF GOLD Teaching Excellence Framework
University of the year for student experience
Coventry University UK top new University 2018
Coventry City of Culture 2021