Computer Aided Decision Systems & Big Analytics Course | IIT Kanpur
Course Details
| Exam Registration | 45 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 12 weeks |
| Categories | Multidisciplinary, Managerial Economics |
| Credit Points | 3 |
| Level | Undergraduate/Postgraduate |
| Start Date | 19 Jan 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 20 Feb 2026 |
| Exam Date | 26 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Mastering the Future: A Deep Dive into Computer Aided Decision Systems with Big Analytics
In the era of Industry 4.0, the fusion of physical systems with digital intelligence is revolutionizing how industries operate. At the heart of this transformation are Computer Aided Decision Support Systems (CADSS), powered by Big Data Analytics (BDA). This convergence is creating unprecedented opportunities for engineers, scientists, and managers to drive efficiency, innovation, and strategic growth.
This detailed guide explores a comprehensive 12-week course offered by the prestigious Indian Institute of Technology (IIT) Kanpur, designed to equip the next generation of professionals with the skills to harness big data for critical industrial decision-making.
Meet Your Expert Instructors
The course is led by two distinguished experts with a powerful blend of academic excellence and real-world industrial experience.
Prof. Deepu Philip is a faculty member in the Industrial & Management Engineering Department and Design Programme at IIT Kanpur. With a doctorate from MSU Bozeman, his expertise spans Production & Operations, Systems Simulation, Product Lifecycle Management, and Unmanned Aerial Systems. His vast industrial experience includes designing and implementing complex systems for defense, aviation, healthcare, banking, and energy sectors.
Dr. Amandeep Singh, a Research Scientist in Mechanical Engineering and the Design Program at IIT Kanpur, brings a decade of industrial and academic experience. Holding a PhD from IIT Kanpur, his research focuses on Sustainable Manufacturing, Simulation of Manufacturing Systems, and Applied Ergonomics. He has presented his work globally at conferences organized by reputed bodies like CIRP and IEOM.
Who is This Course For?
This multidisciplinary course is meticulously designed for:
- Intended Audience: Undergraduate and Postgraduate students from all Engineering and Science disciplines.
- Prerequisites: Students should have completed at least two semesters of an UG Engineering or Science program.
- Industry Support: The curriculum is recognized and supported by leading industry giants including TCS, Accenture, Tech Mahindra, Capgemini, and Genpact, ensuring the skills taught are directly relevant to the current job market.
Course Overview: Bridging Theory and Industrial Practice
Over 12 weeks, the course transitions from foundational concepts to advanced applications, ensuring a holistic learning experience.
Detailed 12-Week Course Layout
| Week | Core Topics Covered |
|---|---|
| Weeks 1-3: Foundation | Introduction to Systems & DSS, Rational Decisions using Databases, Basics of Data Modelling and model selection for DSS. |
| Weeks 4-6: Big Data Core & Retail | Introduction to Big Data Analytics, applications in Retail Industry, Credit Modeling, Web Analytics, and enhancing Quality/Cost Control in manufacturing. |
| Weeks 7-9: Healthcare & Transportation | BDA in Healthcare (drug delivery, brain initiatives), Population Health, BDA in Transportation (ATC, fleet tracking), and smart vehicle integration. |
| Weeks 10-12: Simulation & Advanced Applications | Discrete Event Simulation, Real-Time Performance Monitoring (e.g., McLaren), Product Lifecycle Management (PLM), and recapitulation of CADSS concepts. |
Each module is reinforced with practical case studies, assignments, and software demonstrations (e.g., PLM software), moving beyond theory to hands-on, practical application.
Key Industrial Sectors Covered
The course provides sector-specific knowledge, making it immensely practical:
- Retail & E-commerce: Market Basket Analysis, Pricing Strategies, Demand Forecasting, Inventory Management.
- Engineering & Manufacturing: Quality Control, Cost Management, Product Innovation, Real-Time Performance Monitoring (Industry 4.0).
- Healthcare: Targeted Drug Delivery, Medical Monitoring, Population Health Strategies, reducing clinical reaction times.
- Transportation & Logistics: Air Traffic Control (ATC) Management, Fleet Tracking, Fuel Optimization, Smart Vehicle Integration.
Essential Learning Resources
The course curriculum is supported by seminal texts to deepen your understanding:
- Fundamentals of Database Systems by Elmasri and Navathe – for core database knowledge.
- Big Data in Practice by Bernard Marr – for real-world case studies of analytics success.
- Analytics in a Big Data World by Bart Baesens – for essential data science applications.
Why Enroll in This Course?
This program is more than just an academic course; it's a career accelerator. You will gain:
- In-Demand Skills: Proficiency in Big Data Analytics, Simulation, and Decision Support Systems highly sought after by top firms.
- Industry-Relevant Knowledge: Direct applications in high-growth sectors like healthcare, smart manufacturing, and logistics.
- Expert Mentorship: Learn from IIT Kanpur faculty with extensive industrial project experience.
- A Competitive Edge: Position yourself at the forefront of the Industry 4.0 revolution, ready to tackle complex system-of-systems challenges.
In a world drowning in data but starving for insight, the ability to build and manage Computer Aided Decision Systems is the ultimate superpower. This course provides the map, the tools, and the expert guidance to navigate the vast landscape of industrial big analytics and emerge as a leader capable of turning data into decisive action.
Enroll Now →