This module introduces a number of modelling methods aiming at supporting organisational decision making.
The aim of this module is to provide the student with: skills, concepts and techniques for data modelling and analysis in order to understand business performance, gain new insights, guide business planning, and ultimately lead to better informed decision making.
By the end of this module the student should be able to:
1. Identify data requirements and source required data in response to a task;
2. Make sense of, model and analyse data;
3. Interpret analysis results, gain insights into the interrelationships of different business aspects and their effect on organisational decision making, and use results/insights to inform decisions.
1 Summarising and Visualising Data
Types of data, types of variables, summarizing and visualizing a variable, exploring the relationships between variables.
2 Modelling and Analysing Data
Time series analysis and forecasting. Index numbers. Decision analysis under uncertainty and risk. Multi- criteria Decision Analysis.
3 Business Decisions
Business information and its impact on decision- making.
4 Business Analytics in Practice
Fundamental and supporting skills of a business analyst, what makes for a successful intervention.
Statement on Teaching, Learning and Assessment
In this module, lectures will alternate with practical sessions and tutorials. In the lectures, key concepts will be introduced, whereas in the practical sessions/tutorials these will be further embedded through application of techniques and processes. In addition, a number of drop-in sessions will be scheduled to provide additional support. The module will also make use of business simulation software which helps to develop the interface between the analysis of data and the application of that analysis in decision- making. The module will involve a minimum of 60% enquiry-based learning.
Teaching and Learning Work Loads
|Supervised Practical Activity||25|
|Unsupervised Practical Activity||8|
Credit Value – The total value of SCQF credits for the module. 20 credits are the equivalent of 10 ECTS credits. A full-time student should normally register for 60 SCQF credits per semester.
We make every effort to ensure that the information on our website is accurate but it is possible that some changes may occur prior to the academic year of entry. The modules listed in this catalogue are offered subject to availability during academic year 2018/19 , and may be subject to change for future years.