Logistics
Introduction of the Sector
The logistics sector serves as the backbone of global commerce, facilitating the movement of goods from manufacturers to consumers with efficiency and precision. It encompasses a wide 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 projected to grow by 18% from 2022 to 2032, which is faster than the average for all occupations. The rise of e-commerce is a significant driver, with global sales projected to reach $6.38 trillion by 2024, as reported by Statista.
Consequently, there is an escalating need for robust logistics infrastructure to fulfil orders and manage deliveries. From supply chain analysts to inventory managers, the sector offers diverse career paths across various skill levels. As businesses continue to expand their operations and adapt to evolving consumer demands, the logistics industry remains a promising field for employment and career growth.
Post Graduate Diploma in Data Science for Logistics
Course Introduction
The Post Graduate Diploma in Data Science for Logistics is a one-year, full time post graduate diploma programme which is offered by the School of Skill Education, TISS.
In todays rapidly evolving business landscape, data science has emerged as a pivotal tool for unlocking insights, optimising processes, and driving strategic decision-making across industries. Within the realm of logistics and supply chain management, the integration of data science holds immense promise for enhancing efficiency, reducing costs, and mitigating risks. This Post Graduate Diploma Programme aims to equip students with the specialised skills and knowledge required to navigate this intersection between data science and logistics.
Eligibility for Admission
Bachelors degree in any stream
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 Partner for Skill Training
Redington – COLTE, Chennai
Semester-wise Listing of Courses
| Course Code | Course Name | Credits |
|---|---|---|
| PGDDSL 1.1 | Supply chain management | 2 |
| PGDDSL 1.2 | Data Analytics and Statistics | 2 |
| PGDDSL 1.3 | Inventory control | 2 |
| PGDDSL 1.4 | Fundamental of Logistics | 2 |
| PGDDSL 1.5 | Optimisation Technique 1 | 2 |
| PGDDSL 1.6 | Plant location and Layout | 2 |
| PGDDSL P1 | Project | 2 |
| PGDDSL ST1 | Skill Training | 10 |
| CDPNE | *Domain Practicum | NC |
| Course Code | Course Name | Credits |
|---|---|---|
| PGDDSL 2.1 | Supply Chain Applications of Block Chain | 2 |
| PGDDSL 2.2 | Concept and Applications of Internet of Things | 2 |
| PGDDSL 2.3 | Logistic Documentation | 2 |
| PGDDSL 2.4 | Advanced Logistics | 2 |
| PGDDSL 2.5 | Machine Learning concepts | 2 |
| PGDDSL 2.6 | Revenue and Distribution Management | 2 |
| PGDDSL P2 |
Project |
2 |
| PGDDSL ST2 | Skill Training | 10 |
| CDPNE | *Domain Practicum | NC |
*Domain Practicum- “Compulsory and Non-Credit, non-evaluative component"
The Skill Training component is 50% to 60% ranging from 600 hours to 720 hours per year depending upon the industry requirement
Programme fees: Rs. 1,20,000/-per annum
Examination fees:Rs. 5000 per annum
Caution Deposit (Refundable): Rs.5000 per annum
.