M.Tech in Generative AI & Data Science (Executive)
The M.Tech in Generative AI & Data Science (Executive) from IIT Jammu is India's first master's degree program combining Generative AI, Agentic AI, and modern Data Science for working professionals. Designed for those who want to build, deploy, and scale production-grade AI systems, this 24-month, 4-semester program offers 60 credits entirely through live online weekend classes, with optional and mandatory campus immersions at IIT Jammu. Students gain executive alumni status from IIT Jammu upon graduation.\n\nThe curriculum spans AI & ML Foundations, Deep Learning Specialization, and Advanced Specialization, including 20 elective courses across GenAI, Agentic AI, MLOps, Data Engineering, Computer Vision, and Emerging Tech. The program culminates in an 18-credit dissertation requiring novel research contributions, production deployment, and a comprehensive thesis. Alongside coursework, learners engage in the AI Clinic — a hands-on project environment using tools like PyTorch, Hugging Face, LlamaIndex, Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).\n\nGraduates are equipped for high-growth roles such as Generative AI Engineer, Agentic AI Developer, MLOps Engineer, AI Architect, and NLP Engineer, with earning potentials ranging from ₹14 LPA to ₹45 LPA. The program requires no GATE score and is directed by Prof. Karan Nathwani, Associate Professor at IIT Jammu, with mentorship from the Futurense Leadership Council comprising CXOs and AI leaders from global organizations.
₹ 4,49,000
English
English
Overview
The M.Tech in Generative AI & Data Science (Executive) from IIT Jammu is India's first postgraduate engineering degree integrating Generative AI with Data Science for working professionals. Delivered live online over 24 months across 4 semesters and 60 credits, the programme requires no GATE score and covers AI/ML foundations, deep learning, NLP, computer vision, Agentic AI, MLOps, and production AI systems, with 20 electives and an 18-credit research dissertation. Directed by Prof. Karan Nathwani and supported by 40+ industry CXOs, learners gain hands-on experience through an AI Clinic, campus immersions at IIT Jammu, and training on tools like PyTorch, Hugging Face, Docker, and major cloud platforms — graduating with an official IIT Jammu M.Tech degree and executive alumni status.
Why MTech (Master of Technology)?
The M.Tech in Generative AI & Data Science from IIT Jammu is India's first MTech program integrating GenAI with modern Data Science, designed exclusively for working professionals. The program offers an unmatched combination of IIT-level academic rigor, production-oriented AI training, and executive alumni status — all without requiring GATE scores. The curriculum is built around real-world AI systems, from foundation models to multi-agent deployments, making it one of the most industry-aligned master's degrees available in India today.
The program's standout features include a 60-credit curriculum spanning 4 semesters, 20 advanced elective courses, an 18-credit dissertation with novel research and production deployment, hands-on AI Clinic experience, and a free Bridge Course worth ₹29,000. Learners receive career support including resume building, interview playbooks, mock interviews, exclusive job board access, and salary negotiation coaching — all backed by the Futurense Leadership Council.
What does this course have to offer?
Key Highlights
India's First IIT MTech integrating GenAI, Agentic AI, and Data Science
Designed for working professionals — No GATE required
60-Credit IIT curriculum with research, publications, and dissertation
Hands-on AI Clinic with real enterprise AI projects
Production MLOps, Cloud Deployment, and real-world AI systems training
Executive Alumni Status from IIT Jammu
Campus immersions at IIT Jammu
Free Bridge Course worth ₹29,000 included
Weekend live classes for working professionals
Career assistance including mock interviews and exclusive job board
Who is this programme for?
Software developers and engineers transitioning into AI system building
Data analysts, AI practitioners, ML developers, and automation engineers
Professionals leading digital, data, or AI initiatives
Early-career engineers aiming for IIT-level specialization
Working professionals with minimum 2 years of industry experience
Minimum Eligibility
4-year BE/BTech (ECE/EE/IT/EI/CSE/ME) or MSc (IT/CS)
Minimum 2 years of overall industry experience
Minimum CGPI of 6.0 in preceding degree (relaxed to 5.5 for 10+ years experience)
Programming knowledge (Python preferred)
Basic understanding of databases or engineering fundamentals
Logical reasoning and problem-solving ability
Not sure whether you qualify for this programme?
Admission Overview
The M.Tech in Generative AI & Data Science (Executive) at IIT Jammu follows a structured admission process designed to select candidates with the right technical aptitude and professional experience. Applicants must hold a 4-year BE/BTech in ECE, EE, IT, EI, CSE, or ME, or an MSc in IT/CS, with a minimum CGPI of 6.0 in their preceding degree. Candidates with 10 or more years of experience are eligible with a CGPI of 5.5. A minimum of 2 years of industry experience is mandatory.
The selection process involves submitting an online application form, clearing a pre-screening qualifying test, and appearing for a personal interview conducted by IIT Jammu faculty. The qualifying test is 100 minutes long, comprises 32 questions across 5 sections (Data Interpretation & Logical Reasoning, Math & Statistics for AI, Programming Logic & Data Structures, AI Foundations & GenAI Literacy, and Core Python Coding), and requires a minimum of 50% overall score. Each section must be attempted, and sectional cutoffs apply. The coding section includes 2 Python problems worth 10 marks each. Successful candidates receive an offer letter upon clearing the interview.
Selection process
How to apply?
Curriculum
The curriculum of the M.Tech in Generative AI & Data Science is structured across 4 semesters covering 60 credits in total. Semester 1 covers AI & ML Foundations: Programming for AI and Data Science (3 credits), Data Analytics for AI (3 credits), Foundation for Machine Learning and Deep Learning (3 credits), and Artificial Intelligence and Computational Intelligence (3 credits). Semester 2 focuses on Deep Learning Specialization: Pattern Recognition and Fuzzy Logic (3 credits), Natural Language Processing for Deep Learning (3 credits), Computer Vision for Deep Learning (3 credits), and Elective 1 from the elective pool (3 credits). Semester 3 is Advanced Specialization: Elective 2, Elective 3, Elective 4 from the elective pool (3 credits each), and Project/Dissertation I (9 credits). Semester 4 is dedicated to Dissertation (18 Credits) requiring novel algorithm/architecture contribution, extensive experiments, state-of-the-art benchmark comparison, statistical validation, production deployment, and a comprehensive thesis of 100+ pages.
The elective pool offers 20 courses across categories including Production AI (MLOps, Generative AI, Agentic AI, Advanced LLMs), Data Engineering (Big Data, SQL, Power BI, Data Mining), Specialized AI (Computer Vision, Speech Processing, Signal Processing, DSP), Theory & Optimization (Optimization Methods, Soft Computing, DSA, Neural Processing), and Emerging Tech (IoT, Cloud Computing, AI for Biomedicals, Granular Computing).
There are 5 semesters in this course
The four-semester curriculum begins with AI & ML Foundations in Semester 1, where students master Programming for AI and Data Science, Data Analytics, Machine Learning and Deep Learning fundamentals, and Computational Intelligence. Semester 2 deepens expertise through Deep Learning Specialization, covering Pattern Recognition, NLP for Deep Learning, Computer Vision, and one elective from the pool of 20 advanced courses. Semester 3 moves into Advanced Specialization with three electives chosen from domains like Generative AI, Agentic AI, MLOps, Data Engineering, and Emerging Tech, alongside the first phase of the capstone project. The fourth semester is entirely dedicated to a research-driven Dissertation worth 18 credits, requiring original algorithm contributions, ablation studies, benchmark comparisons, statistical validation, and production-level deployment, resulting in a comprehensive thesis of over 100 pages. Students also engage in the AI Clinic throughout the program — a hands-on environment where they work on real enterprise AI projects from ideation to deployment using tools like PyTorch, Hugging Face, LlamaIndex, Docker, Kubernetes, and cloud platforms.
Semester 1: AI & ML Foundations
Semester 2: Deep Learning Specialization
Semester 3: Advanced Specialization
Elective Pool (20 Courses - Choose Any 4)
Dissertation (18 Credits Full-Time Research)
Programme Length
24 Months, 4 Semesters, 60 Credits. The program is structured for working professionals with live weekend classes (Saturdays and Sundays). Mandatory campus immersion in Year 1; optional campus immersion in Year 2.
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Tuition Fee
The total program fee is ₹4,49,000 (inclusive of GST-exempt components). Year 1 tuition is ₹2,99,000 and Year 2 tuition is ₹1,50,000, with an additional ₹18,000 examination fee. A non-refundable registration fee of ₹10,000 is included in the total program fees. All tuition payments are made directly to IIT Jammu. The registration fee (paid to Futurense Technologies for application processing) is refunded if the application is not accepted. If a student withdraws within 30 days of the batch start date, ₹1,49,500 (equivalent to the first semester fee) is deducted. If withdrawal is after 30 days, ₹2,99,000 + ₹18,000 is non-refundable. Boarding and lodging during campus immersions are borne by students separately. All refunds exclude the registration fee, GST (18%), and any applicable subvention amount. Futurense partners with financial institutions to offer loan assistance with EMI options for eligible candidates.
Fee Structure
Payment options
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About the University
Established in 2016 by the Government of India, IIM Jammu is recognized as an Institute of National Importance. Operating from a new 200-acre campus in Jagati and an off-campus in Srinagar, the institute offers comprehensive management education through various programs including MBA, Executive MBA, PhD, and integrated programs. IIM Jammu has established itself as a center for excellence in value-based education, research, and strong corporate linkages.
#42
NIRF Management Ranking 2024
239
Total Students
Affiliation & Recognition
Affiliation & Recognition
Career services
IIM Jammu's placement cell provides comprehensive career development support through structured recruitment processes. The institute has maintained a 100% placement record with significant participation from industry leaders. The placement process includes both domestic and international opportunities, with dedicated support for career counseling and industry engagement. The class of 2021-23 witnessed participation from over 124 companies, including 57 first-time recruiters, offering roles in Product Management, Marketing, Consulting, Finance, and General Management
64LPA
Highest Package
16.50LPA
Average Package
15.25LPA
Median Package
257
Total Offers
Top Recruiters
₹ 4,49,000
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.