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Facultat de Matemàtiques i Informàtica (Universitat de Barcelona)

Address: Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Barcelona, Spain
Mathematics, Computer Engineering, Data Science

The Faculty of Mathematics and Computer Science of the University of Barcelona (UB) provides education and conducts research in pure and applied mathematics, statistics, computer engineering, and data science.

Domains taught:

Diplomas*:

Status:

Partnerships:

Part of UB, with international collaborations in mathematical and computer science research. Links with industries requiring advanced analytics and software development. Hosts the Barcelona Graduate School of Mathematics (BGSMath).

Research:

Research in areas such as algebra, geometry, analysis, statistics, artificial intelligence, software engineering, computational science, and data science.

Famous Alumnis:

N/A

International recognition**:

Number of staff***:

200

Current students***:

1800

Foreign students***:

10%

Cumulative former students***:

10000

Pros

Offers rigorous training in mathematics, computer science, and data science within a major historic university. Strong theoretical foundation.

Cons

Theoretical emphasis in mathematics. Computer engineering is also offered at UPC, leading to some competition/comparison.

Best For

Students passionate about mathematics, computer engineering, or data science, seeking strong theoretical foundations and research opportunities.

Most Similar Schools Locally

  • Facultad de Ciencias Matemáticas sits close to this university on statistics, mathematics and data analytics; it is also a public institution, and teaches at the same levels, namely bachelor's, master's and doctoral.
  • The comparison with IE University - School of Science and Technology is straightforward on subjects, since both focus on computer vision, statistics and mathematics, and it is private, whereas this university is public, and teaches at the same levels, namely bachelor's, master's and doctoral.
  • Also strong in computer vision, statistics and data analytics, Facultade de Informática makes a sensible second look at home; it is also a public institution, and runs the same bachelor's, master's and doctoral programmes.
  • Escuela de Ingeniería Informática overlaps with this university on computer vision, statistics and data analytics, so the two are easy to compare, and it is smaller, enrolling about 800 students against roughly 1,800 here, and is also a public institution.
  • Think of Escola Superior de Enxeñaría Informática when computer vision, statistics and data analytics is the priority: it is also a public institution, and teaches at the same levels, namely bachelor's, master's and doctoral.

Most Similar Schools Abroad

  • Students considering a move abroad can look at ENSAE Paris in France, where statistics, mathematics and data analytics also form the core, and it is smaller, enrolling about 700 students against roughly 1,800 here, and is also a public institution.
  • IT University of Copenhagen, based in Denmark, is built around computer vision, data analytics and AI and machine learning much like this institution, and it is slightly larger, at about 2,600 students against roughly 1,800 here, and is also a public institution.
  • For a study option in Switzerland with a comparable spread of computer vision, statistics and mathematics, Università della Svizzera italiana is the reference point: it is larger, enrolling about 3,500 students against roughly 1,800 here, and is also a public institution.
  • Looking internationally, International Institute of Information Technology Hyderabad in India is where computer vision, data analytics and AI and machine learning get a comparable treatment; it covers bioinformatics and robotics as well, and has almost the same size, at about 2,000 students.
  • Abroad, Moscow Institute of Physics and Technology (Russia) covers computer vision, mathematics and AI and machine learning in a comparable way, and it teaches at the same levels, namely bachelor's, master's and doctoral, and covers aerospace and nanotechnologies 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.

*: 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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