AI for Management Course | IIT Madras | Prof. Saji K Mathew | Postgraduate Program
Course Details
| Exam Registration | 6512 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 12 weeks |
| Categories | Computer Science and Engineering, Artificial Intelligence, Data Science |
| Credit Points | 3 |
| Level | Postgraduate |
| Start Date | 19 Jan 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 20 Feb 2026 |
| Exam Date | 17 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Master the Future of Business: A Deep Dive into AI for Management
In an era where Artificial Intelligence (AI) is reshaping industries, the ability to harness its power for strategic advantage has become a critical skill for managers and leaders. The postgraduate course Artificial Intelligence (AI) for Management, offered by the prestigious Indian Institute of Technology Madras (IIT Madras), is designed to bridge the gap between cutting-edge AI technology and practical business leadership.
Led by the distinguished Prof. Saji K Mathew from the Department of Management Studies, this 12-week intensive program equips students and professionals with the knowledge to drive organizational value, mitigate risks, and navigate the ethical landscape of AI implementation.
About the Course Instructor: Prof. Saji K Mathew
Prof. Saji K Mathew brings a wealth of academic and practical expertise to this course. A Fulbright Scholar who conducted post-doctoral research at Emory University's Goizueta Business School in the USA, his current research focuses on behavioral cyber security, information privacy, misinformation, and digital nudging. As a founding member of key academic bodies and a contributor to leading Information Systems journals, Prof. Mathew provides students with insights grounded in rigorous research and real-world relevance.
Who Should Enroll in This AI for Management Course?
This course is meticulously designed for a specific audience seeking to apply AI in a business context:
- Intended Audience: Postgraduate students and professionals seeking to understand and apply AI in business and management domains.
- Prerequisites: An undergraduate background with courses in applied statistics, Management Information Systems (MIS), and programming is recommended.
- Industry Support: The curriculum is highly relevant for the AI/innovation wings of all sectors, analytics & data science firms, IT services, and operations & marketing divisions in manufacturing and services.
Course Layout: A 12-Week Journey from Foundations to Governance
The course is structured to provide a comprehensive understanding, building from technical foundations to strategic implementation and governance.
| Weeks | Module Focus | Key Topics Covered |
|---|---|---|
| Week 1-2 | Foundations | The artificial neuron, neural networks, deep learning, language/vision models, Generative AI, narrow vs. general intelligence. |
| Week 3-4 | AI, Strategy & Business Models | Digital business strategy, platforms, competition, smart products, and AI-centric business models. |
| Week 5-6 | Business Value of AI | Value creation mechanisms, AI applications in Marketing, Operations, HR, Manufacturing, and Healthcare. |
| Week 7-8 | Algorithmic Decision Making | From decision support to automation, conversational AI, cognitive & social biases, interpretability vs. accuracy. |
| Week 9-10 | AI Risks | Sources of AI risk, bias types, hallucination, jailbreaking, risk management via unlearning, debiasing, and differential privacy. |
| Week 11-12 | Responsible AI & Regulation | Fairness in AI, policy philosophy, governance, innovation-regulation trade-offs, and emerging global compliance standards. |
Learning Outcomes: What You Will Achieve
By the end of this course, participants will be able to:
- Recognize how AI technology can be aligned with and drive overarching organizational goals.
- Analyze and evaluate potential AI applications across key business functions and industry domains.
- Identify and assess critical AI risks, including bias and ethical dilemmas, from an organizational perspective.
- Develop foundational organizational policies for the responsible adoption and governance of AI in selected areas.
Essential Reading and Resources
The course draws upon seminal texts and research to provide a robust theoretical and practical foundation:
- Canals & Heukamp (2020): The Future of Management in an AI World
- Barocas, Hardt & Narayanan (2023): Fairness and Machine Learning
- Van der Linden (2023): Foolproof (on misinformation)
- Mehrabi et al. (2021): Survey on bias and fairness in machine learning.
- Key research papers on algorithmic bias, AI privacy, explainability, and applications in developing economies.
Why This Course is Essential for Modern Managers
AI is not just a technological tool; it's a transformative force that requires nuanced management. This course moves beyond the hype to address the core challenges: creating tangible business value, managing the risks of algorithmic bias and decision-making, and implementing AI responsibly within the evolving framework of global regulations. Under the guidance of Prof. Saji K Mathew, participants will gain the critical perspective needed to lead in the age of AI, making them invaluable assets to any forward-thinking organization.
Embrace the future of management. Equip yourself with the knowledge to lead with AI.
Enroll Now →