Core Module Information
Module title: Prescriptive Analytics

SCQF level: 11:
SCQF credit value: 20.00
ECTS credit value: 10

Module code: SOE11449
Module leader: Max Chipulu
School The Business School
Subject area group: Management
Prerequisites

There are no pre-requisites for this module to be added

Description of module content:

Organisations face countless complex decisions daily. To operate efficiently and plan effectively, finding the best solutions is critical. Prescriptive Analytics are modelling techniques and software tools that help organisations determine the best course of action. This module equips you with powerful prescriptive analytics techniques to optimise decision-making in your organisation. You will learn how to appraise optimisation problems, evaluate and apply appropriate techniques, and communicate your findings effectively to non-technical stakeholders.

Learning Outcomes for module:

Upon completion of this module you will be able to

LO1: Appraise and formulate an optimisation problem.

LO2: Critically evaluate the appropriateness of optimisation techniques and software to model and solve diverse business problems.

LO3: Demonstrate a critical understanding of the different types of simulation techniques and have insight into the domains in which we can usefully apply each.

LO4: Model business decision problems using the appropriate simulation techniques.

LO5: Explain the results of your prescriptive model to non-technical business users in a way that is easy to understand.

Full Details of Teaching and Assessment

Indicative References and Reading List - URL:
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