IIT Bombay is expanding its online presence by launching a certificate course in Supply Chain Analytics with AI/ML. This course is ideally designed for working professionals. Read further to explore this amazing upskilling opportunity.
IIT Bombay has launched a certificate course on Supply Chain Analytics with AI/ML Applications that is ideal for working professionals. The institute is currently accepting applications for the program.
The course is specially designed for the working professionals and delivered by IIT Bombay faculty to provide the professionals an industry- aligned curriculum in supply chain analytics with AI and ML applications. Delve deeper in the blog to know more about this opportunity.
Table of Contents
Course Information
The six month course will start in October 2025 and is conducted by IIT Bombay’s Department of Industrial Engineering and Operations Research (IEOR). Interested applicants can apply through IOER, you can visit brochure on the website. Below is the sample certificate attached.

The course will have 5 modules and it will be covering case studies, scenario discussions, network design, machine learning for demand forecasting, and GenAI for scenario planning.
Course Modules
IIT Bombay AI/ML course is designed and delivered by IIT Bombay faculty. It has weekly live sessions for learning and query resolution. Learners will learn AI topics and techniques woven throughout the curriculum. Here are the modules of the prescribed curriculum.
Module 1: Introduction to Data-Driven Supply Chain Analytics
Through the IIT Bombay AI/ML course you’ll gain an overview of how analytics and AI technologies transform supply chain decision-making.
Topics Covered:
- Types of Analytics: Descriptive, Diagnostic, Predictive,
- Prescriptive Data Sources and Data Quality in Supply Chains
- Introduction to AI/ML and GenAI in Operations
Module 2: Supply Chain Network Design and Optimisation
Network design underpins cost-effective, resilient supply chains and will be able to evaluate trade-offs between the service levels
Topics Covered:
- Supplier Selection: WSM, AHP, DEA
- Deterministic Network Design Models
- Stochastic and Robust Optimisation Approaches
- Python-Based MILP Formulations
- Case Exercises: Designing for Cost vs. Resilience
Module 3: Data Driven Inventory Models
You’ll master inventory-control frameworks that adapt to real-time data and uncertainty.
Topics Covered:
- Inventory Performance Metrics
- EOQ with Dynamic Demand and Lead Time
- Newsvendor Models: Feature-Based and ML-Enhanced
- Multi-Period Stochastic Control
- ANN-Driven Inventory Optimisation
Module 4: Demand Forecasting and Planning
You’ll develop understanding of forecasting methods, contrasting classical time-series models (ARIMA, exponential smoothing) with machine learning approaches.
Topics Covered:
- Time-Series Forecasting Techniques (ARIMA, ETS)
- Forecast Accuracy and Error Metrics
- Machine Learning Forecasting: Tree-Based, SVM, Neural Networks
- Bass Diffusion and Discrete-Choice Models
- GenAI Applications for Scenario-Based Forecasting
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Module 5: Transportation and Risk Analysis
This module will focus on the last mile and beyond as you explore dynamic vehicle-routing problems, multi-modal transportation analytics, and risk-modeling techniques.
Topics Covered:
- Dynamic Vehicle-Routing Problem (VRP)
- Transportation Data Analytics and KPI Dashboards
- Disruption Risk Modeling (Natural, Geo-Political)
- Commodity Price and FX Risk Analysis
- GenAI-Assisted Scenario Generation
Eligibility Criteria And Application Process
A Bachelor’s degree from any recognised institute is required for this degree. Candidates must have passed with a minimum aggregate of 50% (or equivalent GPA).
The institute has kept the application process simple, you can register through My Great Learning Platform.

Key Learning Outcomes
IIT Bombay’s certificate course is a great learning source for the working professionals who are looking for upskilling.

Other Courses Offered By IIT Bombay
IIT Bombay offers a variety of courses in various fields through distance learning. The course can be availed through the IIT Bombay official website. The courses will be very beneficial for your career.
Eligibility
- Graduate or diploma holders.
- Executive courses might require 1+ years of work experience.
- For Data Science & Machine Learning certificates aggregate of 50% is required in class 12 Mathematics/ Statistics.
Fee Structure
IIT Bombay course offers quality education at affordable prices. Here’s the breakdown of the fee structure.
Programme | Duration | Fee (₹, excl. GST) |
Data Science & ML | 6 months | ₹1,25,000 |
Advanced Data/Decision Science | 12 months | ₹1,75,000 |
AI & ML (Deep Learning) | 6 months | ₹1,50,000 |
Design Thinking & Innovation | 5–6 months | ₹1,00–1,25K |
Digital Marketing | 6 months | ₹55K |
Project Management | 5–6 months | ₹60–70K |
Finance for Non-Finance | 15 weeks | ₹75K |
Operations & Analytics | 6 mo | ₹1,00,000 |
New Product Development | 5 mo | ₹1,25,000 |
Cybersecurity Foundations | – | ₹1,18,000 |
Hybrid E‑Vehicle Tech | 6 months | ₹1,00–1,18K |
Notable features
- Program taught by IIT Bombay faculty
- Live sessions and practical case studies
- Flexible finance options
- Prestige and Alumni Access
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Frequently Asked Questions (FAQs)
Ques 1. What is IIT Bombay Course fees?
Ans. For B.Tech, the annual fees for IIT Bombay course costs approximately ₹2.3 lakhs for General and OBC category. In addition to this, tuition, examination, hostel fees, mess charges, and miscellaneous expenses may amount to an extra ₹60,000 to ₹80,000 per year.
Ques 2. Which is no. 1 IIT in India?
Ans. IIT Madras is the no 1 educational institute in India (according to NIRF) followed by IIT Delhi and IIT Bombay.
Ques 3. What rank is required for IIT Bombay?
Ans. For Computer Science, a JEE Advance rank under 70 for General Category is usually required. For other branches the rank can go upto 2000-3000 depending on the category.
Ques 4. Which company offered a 3.7 crore package in IIT Bombay?
Ans. Jane Street, a global trading firm, offered ₹3.7 crore per annum package during campus placements.