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Decision & Information Analysis - MAN00018H

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  • Department: The York Management School
  • Module co-ordinator: Dr. Luisa Huatuco
  • Credit value: 20 credits
  • Credit level: H
  • Academic year of delivery: 2021-22

Module will run

Occurrence Teaching period
A Spring Term 2021-22 to Summer Term 2021-22

Module aims

The course aims to provide students with an overview of various decision support tools, operational research, information systems, intelligent systems and the ways in which they support effective decision making in organisations. It will discuss managerial biases in decision making and how these may be countered through decision support techniques. It will also provide draw upon some of the normative theories of how people should make decisions. Finally it will consider several examples of decision support systems, including one in depth case study, to explore how theory and practice come together in implementation.

Module learning outcomes

A student completing this course unit should:
1. have a multi-disciplinary understanding of behavioural and normative theories of decision making, the value to individuals and organisations of decision support systems and be aware of current practice in the use of decision support systems.
2. have a knowledge of decision analytic techniques and be able to solve simple decision problems.
3. have a knowledge of various advance decision support approaches,
4. be able to design (in outline) decision support systems and processes, evaluate and justify the design.
5. be able to evaluate the appropriateness of decision support systems/intelligent systems in various parts of organisations and prepare a presentation on their conclusions.
6. be able to work effectively as a member of a group to evaluate decision support systems and also to analyse decision problems more generally.


Task Length % of module mark
N/A 80
Group Presentaion and Report
N/A 20

Special assessment rules



Task Length % of module mark
Decision & Information Analysis Essay
N/A 100

Module feedback

Module assessment reports to students are written by the module leader for all assessments (open and closed) and placed on the VLE after the Board of Examiners has received the module marks.

The timescale for the return of feedback will accord with UYMS policy.

Indicative reading

  • P. Goodwin, G. Wright,. (2004). Decision Analysis for Management Judgment, 3rd Edition, Wiley, (eBook available from library) (or 4th edition, 2009).
  • Taylor, B., (2007). Introduction To Management Science, 9th Edition, Pearson.
  • Provost, F., Fawcett, T. (2013). Data science for business. Sebastopol, O'Reilly

The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.