Technology Forecasting Course: Master Strategic Decision Making | IIT Madras
Course Details
| Exam Registration | 553 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 4 weeks |
| Categories | Management Studies |
| Credit Points | 1 |
| Level | Postgraduate |
| Start Date | 19 Jan 2026 |
| End Date | 13 Feb 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 16 Feb 2026 |
| Exam Date | 28 Mar 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Master the Future: An Introduction to Technology Forecasting for Strategic Leaders
In an era defined by rapid technological disruption, the ability to anticipate and prepare for future innovations is no longer a luxury—it’s a strategic imperative. How can leaders make confident, long-term decisions when the technological landscape is constantly shifting? The answer lies in Technology Forecasting (TF), a disciplined approach to predicting the direction, pace, and impact of technological change.
This blog introduces a comprehensive 4-week postgraduate course designed to equip you with these essential future-proofing skills. Led by Prof. Bala Ramadurai of IIT Madras, this program moves beyond short-term predictive models to provide a structured methodology for long-range strategic foresight.
Why Technology Forecasting is Your Strategic Superpower
Traditional quantitative methods excel at predicting near-term demand but often fall short for long-range technological planning. They can tell you what will happen next quarter, but not what disruptive innovation might redefine your industry in five or ten years. Strategic decision-making requires a blend of explorative qualitative insights and robust quantitative analysis.
This course addresses that exact need. You will learn to combine methods like “Extrapolation with S-curves” with problem-network analysis, using practical case studies to transform abstract concepts into actionable intelligence. This skill set is critical for industries like manufacturing and ICT, where R&D investments and product roadmaps depend on accurate long-term vision.
Meet Your Instructor: Prof. Bala Ramadurai
Learning complex concepts is best done from an expert who bridges theory and practice. Prof. Bala Ramadurai is precisely that guide.
- Academic & Industry Authority: Holds a PhD from Arizona State University and a B.Tech from IIT Madras, with over 15 years of global experience working with GE, Mercedes-Benz, Samsung, and Mindtree.
- Hands-On Innovator: As CEO and Co-founder of Spirelia, he develops AI tools to accelerate innovation, turning ideas into implementable IP.
- Accomplished Educator: Has taught over 100,000 students through IIT Madras, NPTEL, and other prestigious institutions worldwide.
- Proven Thought Leader: Author of Karmic Design Thinking, co-author of a technology forecasting handbook, holder of multiple patents, and co-host of four podcasts.
His unique blend of academic depth, entrepreneurial execution, and global consulting experience ensures the course content is both rigorous and immediately applicable.
Course Overview: What You Will Learn
This postgraduate-level course is structured over four intensive weeks, designed for professionals and students aiming to strengthen their strategic planning capabilities.
| Week | Focus Area | Key Learning Outcomes |
|---|---|---|
| Week 1 | Introduction to Technology Forecasting (TF) | Understand the fundamentals, importance, and scope of TF in strategic decision-making. |
| Week 2 | Case Studies and Structure | Analyze real-world cases and be introduced to core forecasting models and processes. |
| Week 3 | Setup of a TF Project | Learn to initiate and structure a formal TF project, applying models from Week 2. |
| Week 4 | Qualitative & Quantitative Forecasts | Master the integration of both forecast types and learn to synthesize findings for a final strategic wrap-up. |
Essential Reading and Resources
The course curriculum is supported by a curated list of seminal texts and handbooks, providing a solid theoretical foundation:
- Core Methodology: Meyer, P.S., Yung, J.W., & Ausubel, J.H. (1999) on Logistic Growth and Substitution—the math behind S-curves.
- Practical Application: Modis, T. (2013) on using science-based methodologies for clearer future vision.
- Comprehensive Handbook: The FORMAT Project’s “Technology Forecasting Handbook” – a key practical guide.
- Forecasting Principles: Hyndman & Athanasopoulos’s “Forecasting: Principles and Practice” for foundational knowledge.
- Contemporary Case Study: Modis, T. (2024) on Electric Vehicles and ‘Green’ Electricity, illustrating modern TF application.
Who Should Enroll?
This course is ideally suited for:
- Postgraduate Students in Management, Engineering, or Technology Studies.
- R&D Managers, Product Leaders, and Innovation Strategists in manufacturing, ICT, and tech-driven firms.
- Consultants and Analysts involved in strategic planning and market intelligence.
- Entrepreneurs looking to base their ventures on robust technological foresight.
Prerequisites: While there are no strict barriers, data management skills are recommended. Complementary courses in data-driven decision making or time-series analysis can enhance your learning experience.
Transform Your Strategic Vision
Technology Forecasting is the compass for navigating an uncertain technological future. This course offers a unique opportunity to learn a structured, proven methodology from a leading expert at the intersection of academia and industry. You will move from reactive planning to proactive strategy, equipped to identify opportunities, mitigate risks, and guide your organization with confidence toward future success.
Stop guessing about the future. Start forecasting it.
Enroll Now →