Data Analytics for Business

Overview

Increasingly, organisations are relying on data analytics to interpret corporate information when making business decisions. Indeed, the timely and appropriate use of analytics is considered a crucial component among organisations that are committed to achieving business success. The aim of this module is to develop students' knowledge and skills of business analytics, based upon research methods, which are essential for the business world as well as other modules within the degree programme. This module introduces secondary and primary research and the main empirical methods (i.e., qualitative, and quantitative) employed in business practice. Specifically, Students should acquire an understanding of the issues of data collection, measurement, sampling, analysis, and presentation of results.

Learning Objectives

On successful completion of this module students will be able to:

1. Demonstrate an understanding of the role and impact of data analytics in dealing with a variety of business problems.
2. Demonstrate an ability to summarise, analyse and present data effectively to others.
3. Employ statistical techniques to draw well founded inferences from quantitative data.
4. Demonstrate an ability to use appropriate software.
5. Demonstrate an ability to understand the scope and limitations of quantitative methods.
6. Identify sources of published analytics, understand their context and report on their wider relevance.
7. Interpret and disseminate research results and findings.

Skills

Students should be able to:

1. Apply critical analytical skills and problem solving skills to a variety of different situations.
2. Synthesize, analyze, interpret and critically evaluate information from a variety of different sources.
3. Work effectively as an individual and as part of a team.

Assessment

Students must achieve an overall mark of 40% in the module to pass