About

The Statistics with Data Analytics course offered by Brunel University London 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.

Aims

Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data. The aim of the MSc Statistics and Data Analytics is to produce graduates that:

• are equipped with a range of advanced statistical methods and the associated computational skills for handling large quantities of unstructured data;
• have developed a critical awareness of the underlying needs of industry and commerce through relevant case studies;
• are able to analyse real-world data and to communicate the output of sophisticated statistical models in order to inform decision making processes;

• have the necessary computational skills to build and analyse simple/appropriate solutions using statistical Big Data technologies.

Employability

Students on this master’s programme will have acquired an advanced level of statistical knowledge and data analytical skills. This will allow them to work as an independent expert within a multidisciplinary team that designs, performs, analyses and reports about applied scientific research.

Graduates will be able to find employment in the data science/financial/health sectors, like big data 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.