UCL Module Catalogue


Decision Science (MSIN0042)

Key information

Faculty of Engineering Sciences
Teaching department
UCL School of Management
Credit value
Module is only available to students on the BSc/MSci Management Science year 3

Alternative credit options

There are no alternative credit options available for this module.


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 learn to apply them in a small scale, quick-turnaround fashion.


The aims of this module are:


To provide students with an understanding of how to structure business decisions, build decision models and assess risk.


To introduce students to the challenges of decision-making under uncertainty and to help them understand where structured approaches to decision and risk analysis can add value.


To provide students with practical experience of working with state-of-the-art decision support software.



Module deliveries for 2020/21 academic year

Intended teaching term: Term 2     Undergraduate (FHEQ Level 6)

Teaching and assessment

Mode of study
Methods of assessment
60% Examination (2 hours)
12% Workshop report 2
12% Workshop report 1
12% Workshop report 3
4% Workshop report 4
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
Module leader
Dr Steve Yoo
Who to contact for more information

Last updated

This module description was last updated on 5th March 2020.