Title: Data Analytics
Credits: 05
read more »Data analytics is an area of increasing importance and interest to organisations. Data analytics techniques offer huge potential in the creation of new knowledge products and services in addition to the enhancement of existing products and services. This module addresses the application of data analytics techniques to real-world business problems and the preparation of data for such scenarios.
Title: Interpretation of Data
Credits: 05
read more »This module will teach students the importance of data pre-processing and data exploration. Students will prepare data for analysis using a range of advanced data processing techniques and software tools.
Title: Programming for Data Analytics
Credits: 10
read more »Students taking this module will acquire the computer programming skills necessary to analyse and manipulate data sets. This module will introduce key programming concepts using programming languages designed specifically for data analytics.
Title: Relational Databases
Credits: 05
read more »This module provides the student with the skills in areas such as entity modelling, normalisation and database design. In addition, significant time will be devoted to utilising the SQL language to operationalise the output of the design process, manage data and manage security in a modern relational database management system.
Title: Statistics for Data Analytics
Credits: 05
read more »This module will introduce students to the use and role of probability models and statistical inference in data analytics. Laboratory work will give the student experience in applying probability and statistical models to real-world data.