Established in 2010, NIT Delhi is a public technical and research university, one of the newer NITs, located in Delhi.
Address: Plot No. FA7, Zone P1, GT Karnal Road, 110036 Delhi, India
Computer Science and Engineering, Electrical Engineering, Mechanical Engineering
Domains taught:
- AI and Machine Learning, Data Analytics, Electrical and Electronics, Engineering, Manufacturing, Mechanical Engineering, Software Engineering
Diplomas*:
- Bachelor, Doctor, Master
Status:
- Public
Partnerships:
One of the newer NITs, located in the national capital region. Aims to provide quality engineering education.
Research:
Developing research programs in areas like computer science, AI, power systems, and advanced manufacturing.
Famous Alumnis:
N/A
International recognition**:
Number of staff***:
100
Current students***:
600
Foreign students***:
1%
Cumulative former students***:
N/A
Pros
Located in Delhi NCR, providing access to urban amenities and potential industry interaction.
Cons
Currently operating from a temporary/transit campus with limited infrastructure, still establishing its identity and full range of facilities.
Best For
Students seeking an NIT education in the Delhi region, particularly in computer science or electrical engineering, at a newer, developing institution.
- Official Linkedin
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- Linkedin Alumni Page
Most Similar Schools Locally
- National Institute of Technology Puducherry follows much the same lines as this school, with mechanical engineering, electrical and electronics and data analytics as common ground, and it teaches at the same levels, namely bachelor's, master's and doctoral, and covers civil engineering as well.
- Indian Institute of Technology Dharwad shares the core fields of this school, namely mechanical engineering, electrical and electronics and data analytics; it is slightly larger, at about 800 students against roughly 600 here, and is also a public institution.
- Indian Institute of Technology Bhilai offers a comparable education in mechanical engineering, electrical and electronics and data analytics: it covers materials as well, and has almost the same size, at about 600 students.
- In terms of fields, Indian Institute of Technology Ropar is the nearest neighbour, with manufacturing, mechanical engineering and electrical and electronics again at the core; it covers bioengineering as well, and is far larger, with about 2,000 students against roughly 600 here.
- Indian Institute of Technology Palakkad overlaps with this institution on mechanical engineering, electrical and electronics and data analytics, so the two are easy to compare, and it is larger, enrolling about 1,000 students against roughly 600 here, and is also a public institution.
Most Similar Schools Abroad
- Escuela de Ingenierías Industrial, Informática y Aeroespacial offers an international parallel to this institution, with manufacturing, mechanical engineering and electrical and electronics as common ground; it teaches at the same levels, namely bachelor's, master's and doctoral, and covers aerospace and robotics as well.
- Scuola Superiore Sant'Anna di Pisa, in Italy, takes a similar route through manufacturing, mechanical engineering and electrical and electronics; it runs the same bachelor's, master's and doctoral programmes, and covers aerospace and agriculture as well.
- Escuela Superior de Ciencia, Tecnología e Ingeniería (Spain) works on the same fields as this school, chiefly manufacturing, data analytics and AI and machine learning; it covers robotics and automation as well, and is slightly smaller, at about 500 students against roughly 600 here.
- École Normale Supérieure de Rennes, in France, takes a similar route through manufacturing, mechanical engineering and electrical and electronics; it runs the same bachelor's, master's and doctoral programmes, and covers bioinformatics and nanotechnologies as well.
- Military Institute of Engineering, in Brazil, takes a similar route through mechanical engineering, electrical and electronics and engineering; it is also a public institution, and teaches at the same levels, namely bachelor's, master's and doctoral.
*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), Machine Learning, Robotics, 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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