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Unit information: Management Science in 2021/22

Unit name Management Science
Unit code EFIM20005
Credit points 20
Level of study I/5
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Mr. Zhi
Open unit status Not open

Mathematical and Statistical Methods (EFIM10008) or Quantitative Analysis in Management (EFIM10014) or Probability, Statistics and Econometrics (EFIM10024)



School/department School of Management
Faculty Faculty of Social Sciences and Law


Management Science is concerned with the application of quantitative techniques and the modelling of operational and strategic problems to aid management decision-making and planning both in the private and public sectors. Management scientists need to have a good awareness of the ways in which organisations operate, whether for-profit or in the public sector, and to understand the formulation and application of tools which aid managers in developing a more efficient and successful operation.

The term Management Science is often used synonymously with Operational Research, hence the acronym MS/OR. Applications of models typically relate to three functional areas of management: Operations Management, Project Management and, in recent decades, Strategic Management. Techniques which will be introduced include linear programming, project network analysis, decision trees and simulation. All concepts and techniques are illustrated using examples often derived from case studies. Appropriate software will be introduced for simulation. The practice of this methodology has been revolutionised by advances in computer technology and its application offers one of the most exciting developments for dealing with management problems, particularly those surrounding queueing and congestion issues.

Intended learning outcomes

On successful completion of this unit, students will be able to:

  1. Understand and apply the basic concepts, techniques and theories of management science.
  2. Understand applications in operations management, project management and strategic management and apply them to the management aspects of these functional areas.
  3. Demonstrate understanding of commonly-applied management science techniques, including: linear programming, simulation, project network analysis and decision trees.
  4. Understand the circumstances in which each technique might be applied and, further, the occasions when a particular approach might not be the appropriate one.

Teaching details

Teaching will be delivered through a combination of synchronous and asynchronous sessions including lectures, tutorials, drop-in sessions, discussion boards and other online learning opportunities.

Assessment Details

MCQ: 20% , Test 20% and course work report 60% (approx 1500 words)


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