Program Overview

Mathematical/Analytical Modelling in Supply Chains - Module MF5001

Brief Description

Optimising supply chains demands analytical thinking, strategic modelling, and practical tools to solve complex logistical challenges. This 5-week, Level 9 micro-credential introduces mathematical and analytical modelling techniques for real-world supply chain decision-making.

Course Details

• Course Code(s): MF5001
• Available: Part-Time
• Intake: Spring
• Course Start Date: Spring 2027
• Duration: 5 Weeks
• Award: University Certificate of Study
• Qualification: NFQ Level 9 Minor Award
• Faculty: Science and Engineering
• Course Type: Professional/Flexible, Online
• Fees: €1,250

Programme Content

During this module, you will:

• Learn how to build and apply linear, integer, and dynamic programming models to solve real-world supply chain problems.
• Build practical mathematical modelling skills using spreadsheet tools and software to solve analytical challenges across logistics and production planning.
• Strengthen your ability to analyse supply chain data, improve performance, and support data-driven strategic planning.
• Gain the analytical capabilities to advance in supply chain roles or progress to further study.
• This micro-credential is a single module which sits within the Professional Diploma Supply Chain Management and the MSc in Supply Chain Operations.

Key Information

• This micro-credential will be delivered online over 5 weeks.
• You will be assessed through continuous assessment, which includes two assignments based on lecture material, a case study project, and active participation in weekly online activities and discussions.
• Part-time considerations:
  • Designed for working professionals
  • Evening or recorded lectures
  • Additional prep and group work time
  • Timetable provided after registration

Entry Requirements

To help you to be successful on this course:

• Applicants should hold a bachelor's degree (NFQ Level 8) with at least a second-class honours, grade 2 (2:2) in a relevant discipline.
• If applicants have a lower result or an unrelated qualification, they may be considered on a case-by-case basis if they can provide evidence of relevant work experience (Recognised Prior Learning).
• Having a good understanding of basic mathematics and linear algebra would significantly help students succeed in the module.

Guidelines for your applications

• When applying, be sure to include the Module Code MF5001.
• By applying, you confirm that you meet the entry requirements and can take part in the course and its assessments.
• This course will go ahead if it meets minimum enrolment number.
• Completing this module doesn't guarantee you a place in a full programme. If you want to apply for a full programme, you must meet the specific entry requirements for that programme.

Fees

• EU: €1,250
• Further information on fees and payment of fees is available from the Student Fees Office.

Graduate Profile

This micro-credential can lead to a wide range of careers and further study opportunities in fields that require analytical thinking, optimisation, and data-driven decision-making. Graduates may pursue roles such as:

• Supply Chain Analyst
• Operations Research Analyst
• Logistics Manager or Planner
• Data Scientist (with a supply chain focus)
• Procurement Analyst