Big Data Management

Overview

• Credit value: 15 credits at Level 7
• Convenor: Dr Abdulrahman Al-Surmi
• Assessment: a 4000-word essay (100%)

Module description

In this module we focus on how data-driven and analytical approaches can be used to inform decisions from a senior management perspective. We will discuss how senior management integrate a data-driven approach into the organisation, how they lead and develop a culture that embraces the value of data, but also consider the ethical issues around the use of data (e.g. data privacy).

Indicative syllabus

• Big data principles and capability
• Business strategy and analytics
• Business analytics methodology
• Data-driven culture
• Data management
• Data-driven decision-making (DDDM)
• Ethical issues in analytics (privacy, security, governance, regulation)

Learning objectives

By the end of this module, you will be able to:

• understand the internal and external environmental factors that affect organisational decision-making
• understand the application of data analytics, statistics and forecasting techniques and tools to support decision-making
• communicate effectively with different audiences, either orally or in writing, through data analytics.