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Facultad de Ciencias Matemáticas (Universidad Complutense de Madrid)

Facultad de Ciencias Matemáticas (Universidad Complutense de Madrid)
Address: Plaza de las Ciencias, 3, Ciudad Universitaria, 28040 Madrid, Madrid, Spain
Mathematics, Statistics, Data Science

The Faculty of Mathematical Sciences of the Complutense University of Madrid (UCM) provides education and conducts research in Mathematics, Statistics, and Data Science.

Domains taught:

Diplomas*:

Status:

Partnerships:

Part of UCM, with extensive international collaborations in mathematical research (e.g., ICMAT – Institute of Mathematical Sciences, a joint UCM-CSIC center). Links with industries requiring advanced analytics.

Research:

World-class research in areas like algebra, geometry, analysis, topology, statistics, operations research, computational mathematics, and data science.

Famous Alumnis:

N/A

International recognition**:

Number of staff***:

250

Current students***:

2000

Foreign students***:

10%

Cumulative former students***:

10000

Pros

Highly prestigious mathematics faculty with outstanding research (ICMAT) and a strong theoretical foundation.

Cons

Primarily theoretical focus in mathematics, though applied areas are growing.

Best For

Students passionate about mathematics and statistics, seeking strong theoretical foundations and world-class research opportunities.

Most Similar Schools Locally

  • Another national school that puts statistics, mathematics and data analytics at the centre is Facultat de Matemàtiques i Informàtica, and it has almost the same size, at about 1,800 students, and is also a public institution.
  • Think of Instituto de Ciencias Matemáticas when statistics, mathematics and data analytics is the priority: it is also a public institution and does not run the bachelor's programmes found here.
  • Both schools build their programmes around statistics, data analytics and AI and machine learning, and Universidad Isabel I - Facultad de Ciencias y Tecnología is the one to compare first within the country, since it has almost the same size, at about 2,000 students, and is private, whereas this institution is public.
  • For students who like the statistics, mathematics and data analytics focus of this institution but want another option nearby, CUNEF Universidad fits well: it is private, whereas this institution is public, and teaches at the same levels, namely bachelor's, master's and doctoral.
  • IE University - School of Science and Technology shares the core fields of this institution, namely statistics, mathematics and data analytics; it is smaller, enrolling about 1,000 students against roughly 2,000 here, and is private, whereas this institution is public.

Most Similar Schools Abroad

  • For a study option in France with a comparable spread of statistics, mathematics and data analytics, ENSAE Paris is the reference point: it covers quality and project management as well, and is smaller, enrolling about 700 students against roughly 2,000 here.
  • London School of Economics and Political Science in the United Kingdom shares the statistics, mathematics and data analytics orientation of this institution, and it runs the same bachelor's, master's and doctoral programmes, and covers finance and logistics as well.
  • Indian Institute of Science Education and Research Pune brings a India setting to the same core fields, mathematics, data analytics and AI and machine learning, and it has almost the same size, at about 2,000 students, and is also a public institution.
  • Looking internationally, Indian Institute of Science Education and Research Kolkata in India is where mathematics, data analytics and AI and machine learning get a comparable treatment; it is also a public institution, and runs the same bachelor's, master's and doctoral programmes.
  • Daegu Gyeongbuk Institute of Science and Technology in South Korea is the nearest foreign match on AI and machine learning 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.

*: 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: 

  1. known locally
  2. known locally and internationally
  3. is listed in some of the world university’s classifications
  4. 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.

Innovation.world is not affiliated with this school/university.
We recommend to contact them directly on their website for any special request.

 

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