This innovative masters course has been specifically designed in close consultation with industry partners so that students graduate with a broad and much in demand skill set.
Data analysis skills are developed in tandem with 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.
Teaching is informed by cutting-edge business developments as well as staff research. A range of industry partners provide hands-on experience.
The course covers three main areas: - Data Management: Structuring and manipulating data for analysis purposes. - Data Interpretation: Statistical and other analyses using advanced features of industry-standard software such as SAS and R to draw meaningful inferences from varied data sets. - Strategy and Analytics Project Management: The important business-related and financial aspects of data analytics projects.
Core (compulsory) modules:
Data Management Programming for Analytics Data Visualisation and Analysis Business Analytics Strategy and Practice Industry Project
Optional modules currently include:
Multivariate Analysis and Statistical Modelling Data Mining and Knowledge Discovery in Data Stochastic Methods and Forecasting Financial Mathematics and Project Valuation
Graduates can choose to move into a variety of roles as a wide range of organisations draw on data analytics specialists to help produce valuable information for decision-making. Examples include commodity price forecasting, financial analysis and customer intelligence.