As data capture becomes more widespread and the need for data analysis skills ever more vital, a shortfall in qualified professionals able to effectively structure, make sense of, and draw useful conclusions from complex sets of data has emerged.
This innovative masters course has been specifically designed in close consultation with industry partners (including Teradata, Innovation Partners, BT, SAS and the Pensions Regulator) to produce graduates with the unique combination of skills required to address this industry need.
As a University of Brighton student, you will graduate with a particularly broad – and much in demand – skill set. Your data analysis skills will develop in tandem with your experience of managing data analysis projects end-to-end, proposing sound business cases and strategies for analysis, performing and overseeing analyses, as well as critically appraising and presenting results to others.
• data management (structuring and manipulating data for analysis purposes) • data interpretation (statistical analysis using advanced features of industry-standard software such as SAS and R to draw meaningful conclusions) • project management (the business-specific and strategic aspects of analytics).
Throughout the course, your teaching will be informed by cutting-edge business developments as well as ongoing staff research. Specialisations include risk analysis, medical image analysis and time series.
A range of partners provide industry-based projects to help students gain hands-on experience. Guest lecturers have included expert Tom Khabaza, the author of 9 Laws of Data Mining.
You will study five core modules. One of these involves a major project, with possible industry collaboration, that will provide you with hands-on experience.
As a Data Analytics student, you will also choose option modules allowing you to tailor the degree around your own interests.
Data Management Programming for Analytics Data Visualisation and Analysis Business Analytics Strategy and Practice Industry project
Multivariate Analysis and Statistical Modelling Data Mining and Knowledge Discovery in Data Stochastic Methods and Forecasting Risk Analysis and Retail Finance Medical Statistics
A wide variety of organisations draw upon data analytics specialists to help produce valuable information for decision-making, for example commodity price forecasting, customer intelligence, clinical trials, R&D, and many other areas utilising large amounts of data.
Graduates are able to choose from a wide variety of private, governmental and academic roles, depending on their personal interests.