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Decision and Risk Analysis (MSIN0159)

Key information

Faculty
Faculty of Engineering Sciences
Teaching department
Ïã¸ÛÁùºÏ²Ê School of Management
Credit value
15
Restrictions
Module is only available to students on the following programmes: MSc Management MSc Business Analytics SOM Postgraduate Affiliates MRes Management
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

Important business decisions cannot be left to intuition alone. We need to communicate the structure of our reasoning, defend it to adversarial challenges and make presentations that show we have done a thorough analysis. We also need to make sense out of various sources of data, organise the inputs of experts and colleagues, and use state-of-the-art tools to provide analytical support for our reasoning.

The objective of this course is to equip you to be more effective in these tasks. You will develop skills in data analysis, structuring decisions, building decision models, risk assessment, decision making under uncertainty, recognising areas where business analysis can add value, selecting appropriate types of analyses and learning to apply them in a small scale, quick-turnaround fashion.

This is a practical course, which uses state-of-the-art decision support software to illustrate how to apply the methodologies introduced. Therefore, the course consists of a mixture of lectures and computer workshops. The software used in the lectures and workshops is Microsoft Excel, with add-ins SimVoi for simulation, TreePlan for decision analysis, and Solver for optimisation. To ensure that you are equipped with the requisite working knowledge of Microsoft Excel, you will be provided with some resources in the forms of tutorials and formative exercises prior to the start of the module.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
70% Fixed-time remote activity
30% In-class activity
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
385
Module leader
Dr Kenan Arifoglu
Who to contact for more information
mgmt-postgraduate@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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