Statistics with Data Analytics MSc

Overview

Statistics is the study of the collection, analysis, interpretation, presentation and organisation of data. Statistical analysis and data analytics is listed as one of the highly desirable skills employers are looking for, and with data becoming an ever increasing part of modern life, the talent to extract information and value from complex data is scarce.

The new Statistics and Data Analytics MSc is designed to train the next generation of statisticians with a focus on the field of data analytics. Employers expect skills in both statistics and computing. This master’s programme will provide a unique and coherent blend of modern statistical methods together with the associated computational skills that are essential for handling large quantities of unstructured data. This programme offers training in modern statistical methodology, computational statistics and data analysis from a wide variety of fields, including financial and health sectors.

Careers and your future

By the end of this programme you’ll have acquired an advanced level of statistical knowledge and data analytical skills. This will allow you to work as an independent expert within a multidisciplinary team that designs, performs, analyses and reports about applied scientific research.

You’ll be equipped to pursue a career in data science, the financial sector or the health sector. Areas you might be interested in could include big processing companies (Accenture, Oracle Corporation), the financial sector (JP Morgan), pharmaceuticals (GSK), government agencies (the Office of National Statistics) and data science departments within universities.

A 2.2 (or above) UK honours degree or equivalent, internationally recognised qualification in numerate disciplines with adequate content in statistics, including: Mathematics, Statistics, Computational Statistics, Biostastics, Medical Statistics, Social Statistics, Machine Learning, Stochastic models, Probability Statistics, Statistical Modelling, Applied Statistics or Econometrics, Economics, Actuarial Science, Mathematics for Data Science, Applied Mathematics.