601–800 th
World University Rankings 2020
201–250 th
Young University Rankings 2019
51-75 th
European Teaching Rankings 2019
Priory Street, Coventry, CV1 5FB, United Kingdom

Mathematics and Data Analytics - Coventry University

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 2019), Coventry has a long tradition of teaching mathematics with a strong emphasis on its applications in practical situations. **Year 1** 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. **Year 2** 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. **Optional Placement Year** 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. **Final Year** 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. **Additional Year** 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.

  • Qualification
    Master of Science - MSci
  • Study mode
  • Duration
    4 years
  • Start date
  • Location
    Main Site,CoventryUnited Kingdom
  • Fees & Finances
  • EU Year 1 £9,250
  • England Year 1 £9,250
  • Northern Ireland Year 1 £9,250
  • Scotland Year 1 £9,250
  • Wales Year 1 £9,250