Batch starts on February 2026
India's Next Frontier for Data Science & AI Education
An academic Senate with industry professionals ensures that the curriculum remains relevant and responsive to industry trends.
Specializing in IT-related fields from the start ensures candidates' alignment with technology-driven industries, meeting modern job demands.
Demonstrates that students are trained to meet specific objectives, indicating their skills are parallel to industry needs.
The balanced mix of theory core subjects, specialized elective subjects, soft skills, and projects ensures students are well-rounded and adaptable.
An academic Senate with industry professionals ensures that the curriculum remains relevant and responsive to industry trends.
Specializing in IT-related fields from the start ensures candidates' alignment with technology-driven industries, meeting modern job demands.
Demonstrates that students are trained to meet specific objectives, indicating their skills are parallel to industry needs.
The balanced mix of theory core subjects, specialized elective subjects, soft skills, and projects ensures students are well-rounded and adaptable.
Data Science & Artificial Intelligence with 5 Specializations
| Course | Type | Credits |
|---|---|---|
Applied Mathematics for Data Science and AI | Discipline Core | 3 credits |
Machine Learning Paradigms | Discipline Core | 3 credits |
Data Science Lab | Discipline Core | 2 credits |
Introduction to ResearchIntroduction to Speech and Natural Language Processing | Elective | 1 credits |
Introduction to Computer Vision | Elective | 1 credits |
Introduction to Generative AI | Elective | 1 credits |
Introduction to Financial Analytics | Elective | 1 credits |
Introduction to AI in Healthcare | Elective | 1 credits |
Introduction to Research | Master's Core | 2 credits |
Project-I | Project | 3 credits |
Gain proficiency with the industry-standard frameworks and development environments used by top AI engineering teams worldwide.
Earn a highly respected MTech in Data Science and AI from an Institute of National Importance.
Master AI topics like Deep Learning, RL, Explainable AI, and Computer Vision alongside strong engineering foundations.
Engage in a 7-day campus immersion for hands-on sessions, faculty interactions, and networking with peers.
Learn from distinguished IIIT Dharwad professors and industry leaders bringing academic rigor and real-world insights.
Collaborate with a diverse cohort of professionals, researchers, and practitioners to build lifelong connections.
Benefit from collaborations with top tech companies, gaining exposure to cutting-edge tools and practices.
Learn at your own pace with live interactive sessions and immersive campus components tailored for professionals.
Join an elite alumni network of AI & ML experts and leaders from IIIT Dharwad's executive programs.
Work on a research-driven, practical project solving real challenges to demonstrate your strategic expertise.
All these advantages come together in one comprehensive program designed for the modern professional.
Professor and Director
Data Science and Artificial IntelligencePh.D. (IIT Madras)
Assistant Professor
Computer Science & EngineeringPh.D. (NITK Surathkal)
Assistant Professor
Electronics and Communication EngineeringPh.D. (IISc Bengaluru)
Assistant Professor
Data Science and Artificial IntelligencePh.D. (NITK Surathkal)
Assistant Professor
Electronics and Communication EngineeringPh.D. (IIT Guwahati)
Assistant Professor
Computer Science & EngineeringPh.D. (IIT Bhubaneswar)
Assistant Professor
Computer Science & EngineeringPh.D. (IIT Dhanbad)
Assistant Professor
Computer Science & EngineeringPh.D. (NITK Surathkal)
Assistant Professor
Computer Science & EngineeringPh.D. (IIT Kharagpur)
Assistant Professor
Computer Science & EngineeringPh.D. (NIT, Calicut)
Assistant Professor
Data Science and Artificial IntelligencePh.D. (NIT Patna)
Assistant Professor
Computer Science & EngineeringPh.D. (NITK Surathkal)
Assistant Professor
Data Science and Artificial IntelligencePh.D. (IIT Indore)
Assistant Professor
Data Science and Artificial IntelligencePh.D. (Osmania University, Hyderabad)
Assistant Professor
Data Science and Artificial IntelligencePh.D. (IIT Dhanbad)
Assistant Professor
Data Science and Artificial IntelligencePh.D. (NIT Puducherry)
Assistant Professor
Data Science and Artificial IntelligencePh.D. (NIT Nagaland)
Assistant Professor
Electronics and Communication EngineeringPh.D. (IIT Bombay)
Assistant Professor
Electronics and Communication EngineeringPh.D. (IIT Guwahati)
Students will receive an official Institute Email ID and ID card, and will be eligible to participate in institute events and activities. Upon completion, they become part of the institute's elite alumni network.
Participants are required to maintain a minimum of 75% attendance to successfully complete the program.
Participation in live lectures, discussions, and interactive sessions.
Completion of recorded content.
The program follows a blended learning approach, combining multiple instructional methods to enhance learning outcomes:
Engage with faculty and peers through discussions, Q&A, and case study analysis.
Apply knowledge through projects, simulations, and hands-on assignments.
Participate in group exercises, peer learning, and forums to foster teamwork and practical understanding.
Students will be evaluated through a combination of quizzes, assignments, case studies, and end-term examinations. These diverse assessment methods ensure continuous learning and a well-rounded understanding.
| Fee Structure | ||
|---|---|---|
| Semester Fee - ₹88,500 | Yearly Fee - ₹1,77,000 | Total Fee - ₹3,54,000 |
| Application Fee - ₹2,000 (Non-refundable) EMI Starting ₹15,400/- | ||
| Students are required to maintain a minimum of 75% attendance each semester.* *60% through live synchronous classes and 15% through asynchronous (recorded) sessions. | ||
Indian Institute of Information Technology, Dharwad (IIIT Dharwad), established in 2015 through a unique Public-Private-Partnership by the Ministry of Education, Government of India, in collaboration with the Government of Karnataka and industry partner Keonics, offers world-class education designed to meet industry demands.
Flexible exit options ensure your efforts are recognized at every stage of your learning journey.
Awarded upon completion of 15 credits in foundational courses (if the candidate exits the program after the 1st semester).
Awarded upon completion of 30 credits, including core and elective courses (if the candidate exits the program after the 2nd semester).
Awarded upon completion of 60 credits, including the master's thesis and capstone project.
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