MSc Data Science

This module is only available for students enrolled on to MSc Data Science.

Please note this is a 60 credit module.

This module allows you to develop specialist computing skills in your workplace. You will negotiate, with your line manager and a mentor, a learning agreement which will identify objectives. The objectives you identify, once agreed, will form the basis for a significant piece of work which will be based on a live workplace issue. This module is designed to develop critical reflective practice, specialist computing skills, and act as a focus for your continuous professional development.

This module is NOT available unless you have successfully completed 120 Credits.
MSc Dissertation

SCQF level 11, 60 credits.

The work for this module comprises the completion of an individual research project. Each student is assigned a personal Supervisor, and an Internal Examiner who monitors progress and feedback, inputs advice, examines the dissertation and takes the lead at the viva.

There are three preliminary deliverables prior to the submission of the final dissertation:

(1) Project proposal
(2) Initial Report including time plan and dissertation outline

This module is only available for students enrolled on to MSc Data Science.

The aim of this module is to enable you to develop a deep understanding of the fundamentals of data analytics, and to give you opportunities to practise a set of popular data analytical tools. Topics covered include:

*Data Pre-processing – data quality, data cleaning, data preparation
*Data Analytics – techniques of analysing data, such as classification, association, clustering and visualisation, including a variety of machine learning methods that are widely used in data mining

* Post processing – data visualisation, interpretation, evaluation

This module will use tools such as OpenRefine, Weka and Tableau for standard and structured data

The Benchmark Statement for Computing specifies the range of skills and knowledge that should be incorporated in computing courses. This module encompasses cognitive skills in Computational Thinking, Modelling and Methods and Tools and practical skills in deployment and use of tools and critical evaluation in addition to providing useful generic skills for employment.