Address: Rúa Lope Gómez de Marzoa, s/n, Campus Vida, 15782 Santiago de Compostela, A Coruña, Spain
Mathematics, Statistics, Data Science
The Faculty of Mathematics of the University of Santiago de Compostela (USC) provides education and conducts research in various areas of mathematics and statistics, and is involved in data science initiatives. It is part of the CITMAga research center.
Domains taught:
AI and Machine Learning, Data Analytics, Mathematics, Statistics
Diplomas*:
Bachelor, Doctor, Master
Status:
Public
Partnerships:
Part of USC, with international collaborations in mathematical research (e.g., CITMAga – Galician Center for Mathematical Research and Technology). Links with industries requiring data analysis and modeling.
Research:
Research in areas like algebra, geometry, topology, differential equations, statistics, operations research, mathematical modeling, and data science applications.
Famous Alumnis:
N/A
International recognition**:
Number of staff***:
100
Current students***:
700
Foreign students***:
10%
Cumulative former students***:
4000
Pros
Offers rigorous training in mathematics and statistics with strong research groups (CITMAga) and applications in data science. Good theoretical foundation.
Cons
Primarily theoretical focus in mathematics, though applied areas are growing. Competition for some programs.
Best For
Students passionate about mathematics and statistics, seeking strong theoretical foundations and research opportunities at a historic university.
Where this institution leans on statistics, mathematics and data analytics, Facultad de Ciencias Matemáticas does the same, and it teaches at the same levels, namely bachelor's, master's and doctoral, and covers engineering as well.
Instituto de Ciencias Matemáticas is the closest domestic counterpart for statistics, mathematics and data analytics; it is far smaller, with about 80 students against roughly 700 here, and is also a public institution.
Both schools build their programmes around statistics, mathematics and data analytics, and Facultat de Matemàtiques i Informàtica is the one to compare first within the country, since it is also a public institution, and teaches at the same levels, namely bachelor's, master's and doctoral.
CUNEF Universidad shares the core fields of this institution, namely statistics, mathematics and data analytics; it is slightly smaller, at about 600 students against roughly 700 here, and is private, whereas this institution is public.
Both schools build their programmes around statistics, mathematics and data analytics, and IE University - School of Science and Technology is the one to compare first within the country, since it is private, whereas this institution is public, and teaches at the same levels, namely bachelor's, master's and doctoral.
Most Similar Schools Abroad
Beyond national borders, ENSAE Paris stands out as a comparable school for statistics, mathematics and data analytics; it does not run the bachelor's programmes found here and covers quality and project management as well.
Indian Institute of Science Education and Research Kolkata in India pursues a similar profile in mathematics, data analytics and AI and machine learning, and it is larger, enrolling about 2,000 students against roughly 700 here, and is also a public institution.
Scuola Normale Superiore di Pisa offers an international parallel to this university, with mathematics as common ground; it is also a public institution, and runs the same bachelor's, master's and doctoral programmes.
A foreign alternative with a similar emphasis on mathematics, data analytics and AI and machine learning is National Institute of Science Education and Research Bhubaneswar in India, and it is also a public institution, and teaches at the same levels, namely bachelor's, master's and doctoral.
Abroad, Erasmus Universiteit Rotterdam (the Netherlands) covers statistics, data analytics and AI and machine learning in a comparable way, and 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.
Mathematics, Process Improvement, Quality Assurance, Quality Control, Quality Management
*: 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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