Established in 2016, IIT Dharwad is a public technical and research university in Karnataka. It is one of the third-generation IITs, mentored by IIT Bombay, aiming to provide quality engineering education.
Address: WALMI Campus, Near High Court, PB Road, 580011 Dharwad, Karnataka, India
Computer Science, Electrical Engineering, Mechanical Engineering
Domains taught:
- AI and Machine Learning, Data Analytics, Electrical and Electronics, Engineering, Mechanical Engineering, Robotics, Software Engineering
Diplomas*:
- Bachelor, Doctor, Master
Status:
- Public
Partnerships:
Mentored by IIT Bombay. Focus on developing core engineering programs and research capabilities.
Research:
Emerging research in areas like AI and machine learning, data science, advanced manufacturing, and interdisciplinary applications.
Famous Alumnis:
N/A
International recognition**:
Number of staff***:
100
Current students***:
800
Foreign students***:
1%
Cumulative former students***:
N/A
Pros
Newer IIT in Karnataka, mentorship from IIT Bombay, focus on fundamental engineering disciplines.
Cons
Currently operating from a temporary campus (though new campus is partly operational), still developing its full infrastructure and research ecosystem.
Best For
Students looking for a newer IIT in Karnataka, with a focus on core engineering education and emerging research areas.
Most Similar Schools Locally
- Indian Institute of Technology Palakkad overlaps with this school on mechanical engineering, electrical and electronics and data analytics, so the two are easy to compare, and it is also a public institution, and teaches at the same levels, namely bachelor's, master's and doctoral.
- Indian Institute of Information Technology Dharwad offers a comparable education in robotics, electrical and electronics and data analytics: it covers computer vision and telecommunications as well, and is slightly smaller, at about 700 students against roughly 800 here.
- Indian Institute of Technology Goa shares the core fields of this institution, namely robotics, mechanical engineering and electrical and electronics; it teaches at the same levels, namely bachelor's, master's and doctoral, and covers mathematics as well.
- Another national school that puts mechanical engineering, electrical and electronics and data analytics at the centre is Indian Institute of Technology Bhilai, and it teaches at the same levels, namely bachelor's, master's and doctoral, and covers materials as well.
- On content, Indian Institute of Information Technology Pune and this institution are close, as both teach robotics, electrical and electronics and data analytics; it is also a public institution, and teaches at the same levels, namely bachelor's, master's and doctoral.
Most Similar Schools Abroad
- Beyond national borders, Daegu Gyeongbuk Institute of Science and Technology stands out as a comparable school for robotics, AI and machine learning and engineering; it runs the same bachelor's, master's and doctoral programmes, and is larger, enrolling about 1,400 students against roughly 800 here.
- A foreign alternative with a similar emphasis on robotics, mechanical engineering and electrical and electronics is University of Agder in Norway, and it covers automation as well, and is far larger, with about 13,000 students against roughly 800 here.
- Gwangju Institute of Science and Technology (South Korea) works on the same fields as this institution, chiefly AI and machine learning and engineering; it is slightly larger, at about 900 students against roughly 800 here, and is also a public institution.
- Beyond national borders, Escuela de Ingenierías Industrial, Informática y Aeroespacial stands out as a comparable school for robotics, mechanical engineering and electrical and electronics; it covers aerospace and automation as well, and is far larger, with about 2,500 students against roughly 800 here.
- Escola Superior de Enxeñaría Informática in Spain pursues a similar profile in data analytics, AI and machine learning and software engineering, and it teaches at the same levels, namely bachelor's, master's and doctoral, and covers computer vision and statistics as well.
*our own picks (our criteria: a mix between domains, diploma delivered, reputation and size), but obviously too many criteria for an apple-to-apple ranking.
- Artificial Intelligence (AI), Engineering, Machine Learning, Sustainable Development
*: without any judgment of the quality, readers are strongly encouraged to check the official status of the exact diploma envisioned as many universities have a mix of recognized diplomas, not recognized, “co-delivered,” “equivalent to”, “some pathways” (…), can change over time, and can be named differently from one country to another.
**: international reputation: is based on some criteria that do not mean much in some domains or specialties (number of researchers, of scientific publications, on budget ….). Our approximate 1-4 scale:
- known locally
- known locally and internationally
- is listed in some of the world university’s classifications
- is listed among the 20 firsts in some of world university’s classifications
***: estimated numbers, based on online sources and/or feedbacks. The numbers can vary greatly depending on school organisation (ex.: school is part of a group, it employs internal staff or external consultants or has public staff without employing them …). Refer to all the links provided to have accurate and updated numbers.
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