Applied Statistics and Datamining PGDip/MSc

Compulsory modules

• Advanced Data Analysis: covers modern modelling methods for situations where the data fails to meet the assumptions of common statistical models and simple remedies do not suffice.
• Applied Multivariate Analysis: introductory and advanced training in the applied analysis of multivariate data.
• Computing in Statistics: aims to teach computer programming skills, including principles of good programming practice, with an emphasis on statistical computing.
• Introductory Data Analysis: covers essential statistical concepts and analysis methods relevant for commercial analysis.
• Knowledge Discovery and Datamining: covers many of the methods found under the banner of "datamining", building from a theoretical perspective but ultimately teaching practical application.
• Software for Data Analysis: covers the practical computing aspects of statistical data analysis focusing on packages most widely used in the commercial sector.
• Statistical Modelling: covers the main aspects of linear models and generalized linear models.

Optional modules

Students choose one optional module, which can be chosen from the School's modules at level 3000 or above.

• Undergraduate-level modules
• Bayesian Inference
• Computing in Mathematics
• Design of Experiments
• Financial Mathematics
• Markov Chains and Processes
• Mathematical Biology 1
• Population Genetics
• Quantitative Risk Management
• Sampling Theory
• Spatial Processes
• Statistical Inference
• Time Series Analysis

Postgraduate-level modules

• Advanced Combinatorics
• Independent Study Module
• Mathematical Biology 2
• Mathematical Statistics

Computer Science modules

In addition, students may take modules from the School of Computer Science that are consistent with the degree. Representative examples of these modules are:

• Data Intensive Systems
• Database Management Systems
• Information Visualisation and Visual Analytics

Dissertation

MSc students complete a dissertation during the final three months of the course to be submitted by the end of August. Dissertations are supervised by members of teaching staff who will advise on the choice of subject and provide guidance throughout the progress of the dissertation.

If students choose not to complete the dissertation requirement for the MSc, there is an exit award available that allows suitably qualified candidates to receive a Postgraduate Diploma. By choosing an exit award, you will finish your degree at the end of the second semester of study and receive a PGDip instead of an MSc.