MSc Operations, Project and Supply Chain Management / Course details

Management Science course unit overview

This unit considers the application of business tools and techniques for the improvement of operations. We focus on the latest advancements in primary analytics tools in business improvement,  and quantitative methods such as forecasting, optimization, simulation, and the application of supervised and unsupervised machine learning methods in business process improvement. This module is an "applied" unit that focuses on ways these tools, techniques and systems are used in industry. The unit is very hands-on and students are required to work with quantitative data. R programming language will be used as the main platform to cover analytical models in an "introductory" level. Other software would also be explored such as Excel Solver Add-in, Excel Data Analysis toolbox, SPSS and Power BI. 

BMAN70202 Programme Req: BMAN70202 is only available as an elective to students on MSc Operations, Project and Supply Chain Management

The aim of the course unit is to:

Study the systems, techniques and tools for business analytics , and their use in operations, supply chain, manufacturing and service related environments. 

At the completion of this course unit, students should be able to:

•  Understand the relationship between a range of improvement approaches.
•  Understand the role of systems, techniques and tools in making improvements.
•  Know how the systems, techniques and tools can be used to best advantage.
•  Point out potential difficulties and success factors of the taught systems, techniques and tools.
•  Understand the impact of technological advancements on business process improvement systems 
•  Have a familiarity with different packages in R used for various analytical models (e.g., descriptive, diagnostics, predictive modelling)
 

•  Informal advice and discussion during lectures and in-class group activities. Formative assessment will be provided throughout this module, both online and in class.
•  Responses to student emails and questions from a member of staff including feedback provided to a group.
•  Specific course related feedback sessions.
•  Written and/or verbal comments on assessed or non-assessed.