MSc Data Science and Analytics
On completion of the year/programme students should have provided evidence of being able to:- Describe, perform and critically evaluate a range of strategies for analysing data, selecting suitable strategies for specific problems and communicating the appropriate results in a relevant way. - Understand the difference of approach required between a traditional “simple random sample” and a “big data” (population) dataset and use this knowledge in devising analysis strategies.- Carry out an analysis of structured and unstructured data, in either an open-ended (data mining) manner, or in relation to specific question.- Analyse large datasets, including those which have more variables than observations.- Describe, and implement various methods for classification, clustering and prediction, being able to critically evaluate and interpret any results in the context of the data.- Demonstrate experience of using big data packages, and database skills. - Describe issues associated with ethics and data governance, and evaluate their impact on data gathering and analysis. - Demonstrate experience of data analytics in at least one specialism, for example: health, business, or environment.- Demonstrate strong teamworking skill and the ability to communicate to both specialists and non-specialists.
Transferable (key) skills
Students will have had the opportunity to acquire the following abilities as defined in the modules specified for the programme:- the skills necessary to undertake a higher research degree in data analytics, computer science, or statistics;- evaluating the quality of data and selecting suitable methods of analysis;- interpreting the pattern from data and decision making in complex data structure;- setting targets for project work under supervision;- independent learning and the ability to work in a way that ensures continuing professional development.
Achievement for the degree of Master (taught programme) will be assessed by a variety of methods in accordance with the learning outcomes of the modules specified for the year/programme and will involve the achievement of the students in:- evidencing an ability to select and conduct appropriate data analyses;- demonstrating the ability to apply breadth and/or depth of knowledge to analysing data;- drawing an analytic perspective on a particular area of study;- evaluating and criticising existing analyses and conclusions;- make reasoned judgements whilst understanding the limitations on judgements made in the absence of complete data.