Founded in 1960 as Regional Institute of Technology, Jamshedpur, it became an NIT in 2002. It is a public technical university, an Institute of National Importance, located in the industrial city of Jamshedpur.
Address: PO RIT, Adityapur, 831014 Jamshedpur, Jharkhand, India
Engineering, Metallurgical and Materials Engineering, Production and Industrial Engineering
Domains taught:
- AI and Machine Learning, Engineering, Manufacturing, Materials, Software Engineering
Diplomas*:
- Bachelor, Doctor, Master
Status:
- Public
Partnerships:
Located in an industrial hub (Jamshedpur – Tata Nagar”). Strong links with Tata Steel and other local industries.”
Research:
Research in areas such as materials engineering, advanced manufacturing, industrial engineering, and computer science.
Famous Alumnis:
N/A
International recognition**:
Number of staff***:
500
Current students***:
5000
Foreign students***:
1%
Cumulative former students***:
N/A
Pros
Strong industry connections, particularly with metallurgical and manufacturing sectors, good for core engineering.
Cons
Located in an industrial city, some older infrastructure.
Best For
Students interested in engineering, especially metallurgical or production engineering, valuing strong industry links in an industrial city.
Most Similar Schools Locally
- A good alternative in the same country is National Institute of Technology Karnataka, Surathkal, which likewise covers manufacturing, materials and AI and machine learning; it runs the same bachelor's, master's and doctoral programmes, and covers marine science and civil engineering as well.
- Another national school that puts materials, AI and machine learning and software engineering at the centre is National Institute of Technology Raipur, and it has almost the same size, at about 4,500 students, and is also a public institution.
- Both schools build their programmes around manufacturing, materials and AI and machine learning, and National Institute of Technology Warangal is the one to compare first within the country, since it covers chemistry and electrical and electronics as well, and is slightly larger, at about 6,500 students against roughly 5,000 here.
- Also strong in materials, AI and machine learning and software engineering, Indian Institute of Technology Varanasi makes a sensible second look at home; it is also a public institution, and runs the same bachelor's, master's and doctoral programmes.
- Both schools build their programmes around manufacturing, materials and AI and machine learning, and Malaviya National Institute of Technology Jaipur is the one to compare first within the country, since it is also a public institution and also offers mba programmes.
Most Similar Schools Abroad
- Abroad, University of Bolton (the United Kingdom) covers manufacturing, materials and AI and machine learning in a comparable way, and it covers life sciences and data analytics as well, and is larger, enrolling about 9,000 students against roughly 5,000 here.
- In the United Kingdom, Loughborough University teaches much the same core subjects, manufacturing, materials and AI and machine learning, and it is far larger, with about 19,500 students against roughly 5,000 here, and is also a public institution.
- The closest overseas parallel on manufacturing, materials and software engineering is Lipetsk State Technical University, located in Russia; it runs the same bachelor's, master's and doctoral programmes, and covers automation and mechanical engineering as well.
- Ulsan National Institute of Science and Technology (South Korea) works on the same fields as this institution, chiefly materials and engineering; it covers nanotechnologies as well, and has almost the same size, at about 5,500 students.
- The closest overseas parallel on manufacturing, materials and software engineering is Kurgan State University, located in Russia; it covers transportations and automation as well, and is slightly larger, at about 7,000 students against roughly 5,000 here.
*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.
- Additive Manufacturing, Engineering, Lean Manufacturing, Manufacturing, Materials, Metallurgy
*: 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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