Post Graduate Diploma in Logistics with specialisation in Big Data and Data Analytics

Introduction of the Sector

The logistics sector is a fundamental component of global commerce, enabling the efficient and precise movement of goods from manufacturers to consumers. This industry covers a broad range of activities, including transportation, warehousing, inventory management, and distribution. According to the Bureau of Labor Statistics (BLS), employment in the transportation and logistics sector is expected to grow by 18% from 2022 to 2032—significantly faster than the average for all occupations. A primary driver of this growth is the expansion of e-commerce, with global sales anticipated to reach $6.38 trillion by 2024, as reported by Statista. In response, the demand for advanced logistics infrastructure to handle order fulfillment and delivery management is rising. The sector offers numerous career opportunities, from supply chain analysts to inventory managers, catering to a wide range of skill levels. As businesses continue to scale their operations and adapt to shifting consumer expectations, the logistics industry remains a promising field for employment and career advancement.

Programme Introduction

The Post Graduate Diploma in Logistics with specialisation in Big Data and Data Analytics is a one-year, full-time postgraduate diploma programme offered by the School of Skill Education, TISS in collaboration with the Logistics Sector Skill Council, Chennai. In today’s fast-paced business environment, Big Data and Data Analytics is essential for uncovering insights, optimizing processes, and supporting strategic decision-making across industries. This programme focuses on the powerful role of Big Data and Data Analytics in logistics and supply chain management, where its integration can greatly enhance efficiency, lower costs, and minimize risks. The curriculum is designed to provide students with specialized skills and expertise at the intersection of Big Data and Data Analytics and logistics, preparing them for high-impact roles within the industry.

Career Prospects / Job Role

• 1. Data Analyst: Analyses transportation data and optimises supply chain efficiency.
• 2. Supply Chain Analyst: Optimises inventory management and procurement processes.
• 3. Project Manager: Leads logistics projects using data-driven insights.
• 4. Operations Analyst: Improves port and airport operations efficiency.
• 5. Sustainability Specialist: Develops green supply chain strategies.
• 6. Blockchain Logistics Specialist: Implements blockchain for transparency and security.
• 7. IoT Analyst: Monitors and optimises logistics processes in real-time.
• 8. Documentation Specialist: Streamlines logistic documentation processes.
• 9. Supply Chain Manager: Optimises supply chain networks and decision-making.
• 10. Machine Learning Engineer: Develops AI solutions for logistics optimisation.
• 11. Revenue Manager: Analyse data to optimise revenue and distribution strategies.
• 12. Quality Assurance Analyst: Utilises data analytics to ensure product quality and compliance with industry standards throughout the supply chain.
• 13. Customer Experience Manager: Analyses customer data to enhance satisfaction and loyalty, optimising delivery processes and personalised services based on customer preferences.
• 14. Regulatory Compliance Manager: Ensures compliance with regulatory requirements and industry standards, leveraging data analytics to monitor and enforce compliance across logistics processes.
• 15. Forecasting Analyst: Uses predictive modelling techniques to forecast demand, inventory levels, and transportation needs, optimising resource allocation and reducing stockouts.
• 16. Vendor Relations Manager: Manages relationships with suppliers and vendors, using data analytics to evaluate performance, negotiates contracts, and optimises procurement processes for cost savings and efficiency gains.
• 17. Global Trade Compliance Specialist: Ensure compliance with international trade regulations and customs requirements, using data analytics to manage risks and streamline cross-border logistics processes.

Knowledge Provider for Skill Training

• Logistics Sector Skill Council and relevant industries

Semester-wise Listing of Courses