Course Details

Course Code(s):
Course Start Date:
Spring 2025
5 Weeks
University Certificate of Study
Faculty: Science and Engineering
Course Type: Professional/Flexible, Online
Fees: For Information on Fees, see section below.


Address: Science & Engineering Flexible Learning Centre Email:

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Brief Description

Please ensure you enter the Module Code below when applying for this MicroCred. Applications without this cannot be processed.

You may apply for more than one MicroCred under the same application.

Module Description

Module Code

NFQ Level

ECTS Credits

Next Intake


Mathematical/Analytical Modelling in Supply Chains






This micro-credential represents a single module within a larger further award (e.g., Certificate, Diploma, Masters). By taking this micro-credential you may be eligible to apply for a credit exemption should you progress to study for a further award.

The programmes associated with this MicroCred are: 


This module has been designed to

  • To provide students with knowledge on mathematical models applicable to supply chains.
  • To provide students with modelling and software capabilities to apply mathematical models to supply chains.

The module is broken down to provide an overview of the following areas:

Introduction to Operations Research

  • Origins of operations research, example applications of mathematical modelling in supply chains, process of applying mathematical models, overview of mathematical model types, overview of software used in mathematical modelling.

Mathematical Modelling - Software:

  • Introduce and provide students with base skills to use software to solve mathematical models. The focus is primary on introducing the student to spread  sheet modelling, but brief introductions to other modelling and optimization software will be given. Students will apply software modelling skills obtained here to subsequent topics.

Linear programming

  • Basic definition of Linear programming, demonstrate method via graphical method, model formulation applications in supply chains.

Linear programming solution

  • Simplex method, Artificial starting solution method, interpretation of simplex tableau, sensitivity analysis.

Network models

  • Transport model, Assignment model, Shortest Route model, Network Minimisation model, Maximum Flow Model, Transhipment model

Integer programming

  • Binary and integer applications in supply chains, solution methods, branch-and-bound, heuristics solution methods, genetic algorithms, and simulated annealing.

Dynamic Programming

  • Applications in supply chain planning

On successful completion of this module students will be able to:

  • Identify the difference between linear and non-linear models and understand where they can be applied.
  • Given a problem description, develop a linear or integer programming models.
  • Apply solution methods for linear, network, dynamic programming  and integer-programming models.

This module is open to those currently employed, or seeking employment, in a variety of industries such as Manufacturing, Service, Retail, Defence Forces, Health Care Services; Pharmaceutical, Medical Devices, Aviation, Semiconductors etc.

Applicants must have a minimum second-class Level 8 honours degree (QQI NFQ or other internationally recognised equivalent) in a relevant or appropriate subject, or equivalent prior learning that is recognised by the University as meeting this requirement.

Applicants must also satisfy the English Language Requirements of the University.

Entry requirements are established to ensure the learner can engage with the course material and assessments, at a level suitable to their needs, and the academic requirements of the module. By applying to this micro-credential, you are confirming that you have reviewed and understand any such requirements, and that you meet the eligibility criteria for admission.

Successful completion of this module does not automatically qualify you for entry into a further award. All programme applicants must meet the entry requirements listed if applying for a further award.

The fees for this programme are €1,000

Please click here for information on funding and scholarships.