Operations and Revenue Analytics Course | IIT Roorkee | NPTEL
Course Details
| Exam Registration | 239 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 8 weeks |
| Categories | Management Studies, Operations |
| Credit Points | 2 |
| Level | Postgraduate |
| Start Date | 16 Feb 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 16 Feb 2026 |
| Exam Registration Ends | 27 Feb 2026 |
| Exam Date | 19 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Master Data-Driven Decisions: A Guide to the Operations and Revenue Analytics Course by IIT Roorkee
In today's hyper-competitive business landscape, intuition is no longer enough. Success hinges on the ability to harness data for optimizing operations and maximizing revenue. If you're a professional or postgraduate student aiming to master these critical skills, the Operations and Revenue Analytics course offered by the prestigious Indian Institute of Technology (IIT) Roorkee on the NPTEL platform is your definitive guide.
This meticulously designed 8-week program moves beyond theory, providing a comprehensive toolkit for tackling real-world business uncertainties and driving profitability through advanced analytical techniques.
Why This Course is a Game-Changer for Your Career
Operations and revenue are the twin engines of business profitability. This course bridges the gap between them, teaching you how to:
- Optimize Supply Chains: Manage inventory under uncertainty, reduce costs, and improve service levels.
- Master Forecasting: Use predictive analytics to make accurate demand forecasts.
- Implement Revenue Management: Apply sophisticated pricing and capacity allocation strategies used by airlines, hotels, and retail giants.
- Make Robust Decisions: Employ decision trees, simulation, and multi-criteria techniques to navigate complex business scenarios.
Learn from an Industry-Leading Expert: Prof. Rajat Agrawal
The course is led by Prof. Rajat Agrawal, a distinguished authority with over 25 years of experience in Operations Management and Decision Sciences. As Professor and Head of the Department of Management Studies at IIT Roorkee, his expertise is both deep and practical. His accolades, including the RamKumar Award for outstanding teaching and research, and his extensive publication record in top-tier journals, guarantee that you are learning from one of the best minds in the field.
Detailed 8-Week Course Curriculum
The course is structured to build your knowledge from the ground up, culminating in advanced revenue management strategies.
| Week | Core Topics Covered |
|---|---|
| Weeks 1-2 | Foundations of Analytics & Forecasting: Introduction to operations analytics, descriptive & predictive analytics, exponential smoothing, trend/seasonality analysis (Winter’s Model). |
| Weeks 3-4 | Managing Uncertainty & Planning: Inventory management, safety stock, decision trees, Monte Carlo simulation, Newsvendor problem, and Material Requirements Planning (MRP). |
| Weeks 5-8 | Advanced Revenue Management: Introduction to pricing & revenue management (RM), capacity allocation (EMSR-a/b models), network management, virtual nesting, overbooking policies, and dynamic pricing including auctions and markdowns. |
Who Should Enroll?
This postgraduate-level course is perfectly suited for:
- Master’s or PhD Students in Management, Operations, Analytics, or related fields.
- Working Professionals in Supply Chain, Logistics, Revenue Management, Business Analytics, and Operations seeking to upskill with data-driven techniques.
- Analysts & Consultants who want to deepen their understanding of operational decision-making and profitability levers.
Prerequisites & Industry Relevance
To get the most out of this course, a foundational understanding of Basic Statistics and concepts from Supply Chain Analytics is recommended.
The skills taught are in high demand across industries. All organizations involved in Operations, Supply Chain Management, Logistics, E-commerce, Hospitality, Transportation, and Business Analytics will find immense value in professionals trained in these methodologies.
Key Learning Outcomes
By the end of this 8-week journey, you will be able to:
- Apply descriptive and predictive analytics to solve operational problems.
- Design inventory policies that effectively balance cost and service under demand and supply uncertainty.
- Build and solve decision trees and simulation models for complex business decisions.
- Formulate and implement revenue management strategies for constrained capacity and perishable assets.
- Understand and apply multi-criteria decision-making frameworks.
Take the next step in becoming a strategic, data-savvy leader. Enroll in the Operations and Revenue Analytics course and transform the way you view business operations and profitability.
Enroll Now →