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.
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.
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.
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