LNCC is Brazil’s premier national center dedicated to advanced computing and applied mathematics research.
Address: Av. Getúlio Vargas, 333, 25651-070 Petrópolis, Rio de Janeiro, Brazil
Computing, Data Analytics, Software Engineering
Domains taught:
- Data Analytics, Mathematics, Software Engineering
Diplomas*:
- Doctor, Master
Status:
- Public
Partnerships:
Partnerships with universities and research labs nationally
Research:
Research in computational science, big data and software
Famous Alumnis:
N/A
International recognition**:
Number of staff***:
700
Current students***:
500
Foreign students***:
10%
Cumulative former students***:
3000
Pros
High level computing research
Cons
No formal diploma programs
Best For
Advanced computational and mathematical research
- Official Linkedin
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- Official X / Twitter
- Linkedin Alumni Page
Most Similar Schools Locally
- National Institute for Space Research is the closest domestic counterpart for data analytics; it is also a public institution and runs the same master's and doctoral programmes.
- In terms of fields, Federal University of São Carlos is the nearest neighbour, with scientific, computing and engineering again at the core; it covers computer vision and life sciences as well, and is far larger, with about 14,000 students against roughly 500 here.
- Also strong in engineering, Aeronautics Institute of Technology makes a sensible second look at home; it also offers bachelor's programmes and covers aerospace and mechanical engineering as well.
- The comparison with University of São Paulo is straightforward on subjects, since both focus on engineering and advanced, and it is far larger, with about 90,000 students against roughly 500 here, and is also a public institution.
- On content, Pontifical Catholic University of Rio de Janeiro and this institution are close, as both teach computing and engineering; it is far larger, with about 12,000 students against roughly 500 here, and is private, whereas this institution is public.
Most Similar Schools Abroad
- ISIMA offers an international parallel to this institution, with mathematics, data analytics and software engineering as common ground; it covers ergonomics and UX and optics as well, and is slightly larger, at about 600 students against roughly 500 here.
- On content, ENSAE Paris in France and this school are close, as both teach mathematics, data analytics and software engineering; it runs the same master's and doctoral programmes and covers quality and project management as well.
- Seen from abroad, Barcelona Supercomputing Center - Centro Nacional de Supercomputación (Spain) is a close relative on subject matter, since mathematics, data analytics and software engineering are central to both, and it is also a public institution and runs the same master's and doctoral programmes.
- A foreign alternative with a similar emphasis on mathematics, data analytics and software engineering is CUNEF Universidad in Spain, and it is slightly larger, at about 600 students against roughly 500 here, and is private, whereas this institution is public.
- Abroad, Istituto Universitario di Studi Superiori di Pavia (Italy) covers mathematics, data analytics and software engineering in a comparable way, and it runs the same master's and doctoral programmes and covers bioinformatics and civil engineering 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), Cloud Computing, Computational Fluid Dynamics (CFD), Deep Learning, Research and Development, Software, Software Engineering
*: 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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