A diverse range of sectors, such as the IT industry, health, sports, finance, marketing and sales, require graduates with 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. A good grounding in mathematical thinking, statistics and computing is essential for creating and using algorithms and systems that identify patterns and extract value from masses of data. Coventry University has a long tradition of teaching mathematics, statistics and computing with a strong emphasis on its applications in practical situations. This new course blends all of these subject areas with a view to tackling a huge variety of interesting and engaging problems from business and industry – from fraud detection and credit risk to efficiency improvements and optimisation of delivery methods. You’ll have access to our modern computing facilities, which enable you to gain experience using mathematical software packages, like MAPLE and MATLAB®. You can also receive one-to-one assistance from Sigma, the University’s internationally-renowned Centre for Excellence in Mathematics and Statistics Support, which previously won the prestigious national Times Higher Education award for Outstanding Support for Students in 2011. There are opportunities to apply for summer research internships (subject to availability and application). Past students have, for example, undertaken internships analysing social networks of past cultures through ancient and mythological narratives or studied lattice models of polymers. **Key Course Benefits** * 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.

Study Themes: * **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. For more information about what you will study, please visit our website

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26 January This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Course code: 256A

Institution code: C85

Campus Name: Main Site

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The following entry points are available for this course:

Year 1

Entry Requirements for Advanced Entry are not listed for this Course.

All applications are considered on an individual basis and the whole application is reviewed which includes previous and predicted qualifications, experience, reference and your motivation to study the course. The University also accepts the BTEC Level 3 National Extended Certificate / BTEC Level 3 Subsidiary Diploma and BTEC Level 3 National Diploma / BTEC Level 3 Diploma for entry onto degree programmes, provided that they are studied in combination with other qualifications that are equivalent to three A2 Levels. This may include subject specific requirements where necessary. If you are successful in receiving an offer, you will be invited to an Applicant Visit Day to discover more about the course and studying at Coventry University.

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Student satisfaction : 0%

Employment after 15 months (Most common jobs): 0%

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England	9250.0	Year 1
Northern Ireland	9250.0	Year 1
Scotland	9250.0	Year 1
Wales	9250.0	Year 1

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Priory Street
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Coventry
CV1 5FB