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The University of Southampton

MANG3048 Management Science for Engineers

Module Overview

Management Science for Engineers introduces the building blocks of Management Science as a discipline, which is at the heart of decision-making. The module introduces the history and the context along with the general Management Science approach to decision-making. The rest of the module is of quantitative nature and introduces a number of basic techniques such as mathematical modelling including linear and integer programming, inventory theory, simulation and queuing theory. The coverage of each technique is such that emphasis is given to practical applications on realistic problems and the interpretation of the solutions. The module also covers the use of spreadsheets as modelling tools.

Aims and Objectives

Learning Outcomes

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

  • the nature of MS, its history and the context of its contribution to management;
  • the range of techniques, tools, models, methods and approaches;
  • the practical use of MS approaches.
Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

  • apply a number of the core MS approaches;
  • apply MS in practical contexts in a considered manner;
  • evaluate the outcome of the MS approaches with respect to sensitivity and uncertainty.
Transferable and Generic Skills

Having successfully completed this module you will be able to:

  • Use of spreadsheets to solve mathematical programming problems and to perform discrete-event simulations.
Subject Specific Practical Skills

Having successfully completed this module you will be able to:

  • use quantitative modelling approaches;
  • use problem-solving skills;
  • use rational analytic skills.


• Management Science: history, context, and the management science process. • Mathematical modelling: the development and formulation of a mathematical model. • Solution approaches for management problems; specifically, Linear and Integer Programming, Inventory Theory, Simulation and Queuing Theory. • The interpretation of the mathematical models and solutions in management science.

Learning and Teaching

Teaching and learning methods

Teaching methods include: • 22 lectures • 10 classes including computer workshops on Linear Programming and Simulation.

Wider reading or practice4
Completion of assessment task20
Follow-up work8
Preparation for scheduled sessions68
Total study time150

Resources & Reading list

Anderson DR, Sweeney DJ, Williams TA and Wisniewski, M. (2009). An Introduction to Management Science: Quantitative Approaches to Decision Making. 

Hillier FS and Lieberman GJ. (2005). Introduction to Operations Research. 

Albright SC and Winston WL. (2007). Management Science Modelling. 





MethodPercentage contribution
Case study  (2000 words) 30%
Examination  (2 hours) 70%


MethodPercentage contribution
Case study  (2000 words) 30%
Examination  (2 hours) 70%


MethodPercentage contribution
Examination  (2 hours) 100%

Repeat Information

Repeat type: Internal & External


Costs associated with this module

Students are responsible for meeting the cost of essential textbooks, and of producing such essays, assignments, laboratory reports and dissertations as are required to fulfil the academic requirements for each programme of study.

In addition to this, students registered for this module typically also have to pay for:


Recommended texts for this module may be available in limited supply in the University Library and students may wish to purchase the mandatory/additional reading text as appropriate.

Please also ensure you read the section on additional costs in the University’s Fees, Charges and Expenses Regulations in the University Calendar available at

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