Data Science for Decision Making
Strategic Decision-Making Through Data Science
Access the Executive Masters class website [DSDM-2025] for enrolled students.
Access the Executive Masters class website [DSDM-2024] for enrolled students.
Executive Masters in Data Science for Decision Making
“Empowering Decisions with Data Excellence.”
The Executive Masters in Data Science for Decision Making (DSDM) program at the Indian Institute of Technology, Gandhinagar, represents a pioneering endeavor in data science education. In an age marked by remarkable advances in data sciences, there remains a formidable challenge – effectively translating this knowledge into informed decision-making. It is here that DSDM emerges as a beacon of innovation and insight. Our program is meticulously crafted to bridge the gap between data science prowess and the art of making strategic decisions. Unlike traditional constraints that often limit educational offerings to specific departments, our curriculum is intentionally inclusive. It is designed to welcome engineers and practitioners from diverse backgrounds. Whether you come from engineering, science, business, or any other field, DSDM offers you a comprehensive and multidisciplinary approach to data science. We believe that true mastery of data science lies not just in its techniques but in its application to drive tangible outcomes. Through rigorous coursework and real-world applications, we aim to equip our students with the tools, skills, and mindset required to navigate this dynamic landscape.
Eligibility
- A graduate degree in a relevant field, such as (Statistics/ Mathematics/ Computer Science/ Engineering/ Technology/ Science/ Economics/ Commerce) with a minimum of 60% marks or 6.0/10 CPI.
- Candidates must have taken Mathematics in grade 12.
- No GATE qualification is required.
Program structure
The Executive Masters degree program structure is as below:
Program Duration: 2 years
Number of Credits: 54 credits
Modules: There are six modules in the program.
Module Duration: Each module lasts for 12 weeks.
The course components breakup typically represents:
| Module | Course type and Numbers | Total number of courses | Credits |
| 1 |
1-Foundation 1-Core |
2 | 8 |
| 2 |
1-Foundation 1-Core 1-HSS |
3 | 10 |
| 3 |
2-Core 1-HSS |
3 | 10 |
| 4 | 2-Core | 2 | 8 |
| 5 |
2-Core 1-Project |
3 |
10 |
| 6 |
1-Core 1-Project |
2 | 8 |
| Total | 15 | 54 |
Program fee
Application fee ₹1000 (to be paid during application submission)
Fee structure for candidates enrolling in the program
| Details | Amount (in INR) |
|
Registration Fee To be paid within 2 weeks of the selection. |
₹1,50,000 |
|
Tuition Fee (Paid in 6 instalments) Module 1 Module 2 Module 3 Module 4 Module 5 Module 6 Total |
₹1,30,000 ₹1,40,000 ₹1,50,000 ₹1,20,000 ₹1,50,000 ₹1,20,000 ₹8,10,000 |
| Total Fees | ₹9,60,000 |
Education loan avail from leading banks and NBFCs
Important Dates
| Application Deadline |
10 August 2025 25 September 2025 |
| Notification Email to Candidates | Within 1 week of the interview |
| Pre-registration | 27th Sep 2025 |
| Orientation Session | 4th Oct 2025 |
| Classes Start | Week of 5th Oct 2025 |
For further information, you may email us at admission@iitgn.ac.in or iitgnx@iitgn.ac.in
Contact us + 91 79 2395 2196/97, 7069021574
A meticulously developed curriculum, crafted by the subject matter experts from IIT Gandhinagar to bridge the gap between data science prowess and the art of making strategic decisions. This curriculum seamlessly integrates in-depth theoretical knowledge with extensive practical application to nurture expertise effectively.
Mathematical Models for Data Science
Advanced Probability and Statistics
Programming for Data Science
Time Series Analysis
Optimization for Data Science and Machine Learning
Risk and Decision Analysis
Machine Learning for Predictive Analysis
Spatial Data Science and Applications
Advanced Data Visualization Techniques
Big Data Modeling and Management Systems
Generative AI with Large Language Models
Projects Course - I
Projects Course - II
Writing and Leadership
For the detailed Curriculum, please write an email to iitgnx@iitgn.ac.in
Skill Set
- Advance Mathematical and Statistical Understanding
- Programming and MATLAB Proficiency
- Data Visualization using Python
- Time Series and Spatial Data Analysis
- Machine Learning Techniques
- Understanding of Neural Networks and Convolutional Neural Networks (CNN)
- Optimization Algorithms
- Constraint Handling
- Big Data Modelling
- Deep Learning
- Applications of Large Language Models
- Risk and Decision Analysis
- Strategies to Mitigate and Manage Risk
Tools & Technologies Covered
- Programming languages: Python, R
- Libraries: NumPy, Panda, Scikit-learn
- Data Visualization: Matplotlib, Seaborn
- Apache Kafka: Integration tool
- Docker
- Optimization Algorithms: Evolutionary algorithms, Genetic algorithms
- Industry Standard Tools: PuLP, Gekko
- Neural Networks (NN) like Vanila NN and CNN using PyTorch
- Keras 3.0
Learning Format
- Live Interactive Online Sessions
- Accessible Recorded Lectures (For Revision and Missed Classes)
- Learn from industry leaders and domain experts through exclusive guest sessions.
- Weekend/Evening classes to accommodate professional commitments.
- Continuous assessments through quizzes, assignments, and exams.
- Optional on-campus experience at IIT Gandhinagar for immersive learning.