Compulsory modules

This module aims to introduce key concepts in programming using suitable programming languages, such as Python and/or R, focusing on data description, summary and visualisation.

This module introduces students to the emerging field of data science and equips them with the fundamental knowledge of using data to gain insights and support decision-making. The module demonstrates and provides hands-on experience with cleaning, integrating, exploring, transforming and summarising data sets. It teaches students to form questions and hypotheses from data; to utilise and apply a variety of statistical methods to effectively analyse data in a way that answers those questions or hypotheses; and to create suitable visualisations to communicate their analyses. By the end of the module students will in analysing and presenting data using R and RStudio.

Optional modules (choose one)

The aims of this module are to:

  • Understand the theoretical concepts of strategy and strategic management in relation to organisations using data and data analysis to build and implement their strategies
  • Explore and evaluate methods used by organisations to determine strategic options
  • Develop an understanding of the uses of data and data analysis as drivers for strategic change
  • Develop skills in business environmental analysis and strategic planning
  • Develop an understanding of the importance of risk management and corporate social responsibility when formulating a new data driven strategy.

The aim of this module is for the students to:

  • Develop knowledge and understanding of a variety of storytelling techniques applied within decision making contexts.
  • Explore and apply tools for the creation of digital stories to articulate organisational values, practices, and processes.
  • Acquire a range of creative and analytical skills to engage in critical discussion and communicate meaningful data-driven stories that effect behavioural change, engage business partners and inform decision-making.

The aims of this module are to:

  • Develop students' ability to reason about data
  • Engage in the full lifecycle of a database including abstract modelling, concrete realisation, CRUD interaction, and privilege allocation.