Course Synopsis:

The Postgraduate Diploma in Logistics and Supply Chain Management is designed to develop advanced strategic, analytical, and technological competencies required to manage complex global supply chain systems. The programme integrates strategic planning, organisational leadership, data analytics, digital transformation, sustainability modelling, global logistics systems, and financial decision-making within contemporary supply chain environments.

Emphasis is placed on quantitative analysis, modelling tools, evidence-based management practices, and applied research capabilities. Learners will develop the ability to interpret operational data, optimise logistics networks, evaluate financial performance, and implement sustainable supply chain strategies. The programme prepares graduates for senior professional roles and progression to postgraduate-level study in logistics and supply chain management.

Course Objectives:

Upon successful completion of the programme, learners will be able to:

• Formulate strategic supply chain plans using quantitative modelling tools, performance metrics, and evidence-based decision-making frameworks.
• Apply leadership and organisational change principles supported by analytical assessment tools to improve team performance and operational effectiveness.
• Analyse retail and distribution systems using demand forecasting techniques, inventory optimisation models, and performance evaluation metrics.
• Evaluate logistics facilities and warehouse operations through capacity modelling, layout optimisation, and operational efficiency analysis.
• Apply data analytics and digital transformation tools to interpret logistics data and develop actionable business insights.
• Design sustainable supply chain strategies using environmental performance indicators, carbon measurement approaches, and ESG evaluation frameworks.
• Assess global logistics networks and trade systems using analytical models to evaluate transport efficiency, risk exposure, and supply chain resilience.
• Apply economic analysis and financial modelling techniques to support investment decisions, cost optimisation, and strategic financial planning in global supply chains.
• Apply theoretical knowledge in a real-world setting through an industrial attachment, gaining practical experience and industry exposure.

Modules:

1. Strategic Planning and Operational Excellence :

This module develops advanced strategic planning capabilities within logistics and supply chain environments. Learners will explore competitive positioning, operational alignment, performance measurement, and long-term planning frameworks. Quantitative tools such as KPI development, scenario analysis, and performance modelling are introduced to support structured decision-making. Emphasis is placed on aligning supply chain strategy with organisational objectives while responding to global market dynamics and operational risks.

2. Organisational Change and Leadership Analytics :

This module examines leadership practices and organisational change management within logistics contexts. Learners will explore leadership theories, team dynamics, motivation models, and change frameworks supported by analytical assessment tools. Case-based discussions encourage application of evidence-based leadership approaches to improve operational performance and workforce effectiveness. Emphasis is placed on aligning leadership strategy with measurable organisational outcomes.

3. Retail and Distribution Analytics :

This module focuses on analytical approaches to retail logistics and distribution systems. Learners will examine demand forecasting techniques, inventory management models, service level analysis, and retail performance metrics. Practical exercises introduce structured data interpretation to enhance distribution efficiency and customer fulfilment strategies. Emphasis is placed on improving supply chain responsiveness through data-supported evaluation and optimisation methods.

4. Facilities and Warehouse Optimisation :

This module explores the principles of managing and optimising logistics facilities such as warehouses and distribution centres. Learners will study space utilisation, throughput analysis, capacity planning, and layout design considerations. Structured evaluation methods are introduced to assess operational efficiency, safety standards, and resource allocation. Emphasis is placed on improving facility performance through systematic analysis and optimisation techniques.

5. Logistics Data Analytics and Digital Transformation :

This module introduces digital technologies and analytical tools shaping modern supply chain operations. Learners will develop practical competencies in spreadsheet modelling, dashboard creation, and structured data interpretation to support logistics decision-making. The module examines how digital transformation enhances transparency, automation, and operational efficiency. Emphasis is placed on converting operational data into actionable business insights.

6. Sustainable Supply Chain Management and ESG Modelling :

This module examines sustainability principles within supply chain management. Learners will explore environmental performance measurement, responsible sourcing practices, carbon impact considerations, and ESG evaluation frameworks. Case discussions highlight how sustainability strategies influence organisational reputation and long-term competitiveness. Emphasis is placed on integrating environmental responsibility into supply chain planning and performance assessment.

7. Global Logistics Systems and Network Modelling :

This module provides an in-depth understanding of international logistics networks and global trade systems. Learners will examine multimodal transportation strategies, customs procedures, free trade agreements, and supply chain risk considerations. Structured analytical approaches are introduced to evaluate network efficiency and global distribution performance. Emphasis is placed on understanding how international logistics systems influence organisational competitiveness.

8. Business Economics and Global Supply Chain Finance :

This module integrates economic principles and financial analysis within supply chain decisionmaking. Learners will explore exchange rates, inflation, cost structures, trade economics, and financial performance evaluation. Practical exercises focus on applying financial tools such as budgeting, cost optimisation, and investment appraisal to logistics operations. Emphasis is placed on supporting strategic decisions through structured economic and financial reasoning.

9. Project :

Participation in an industrial attachment is mandatory and forms an essential component of the course. In the event that a student is unable to secure a suitable internship due to circumstances beyond the college’s control, the alternative requirement will be the completion of a Project Work (Project in lieu of IA will be of 3 months duration).

Course Structure:

Entry Requirement