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Facultade de Informática (FIC UDC)

Facultade de Informática (FIC UDC)
Address: Campus de Elviña, s/n, 15071 A Coruña, A Coruña, Spain
Computer Engineering, Data Science and Engineering, Artificial Intelligence

The Faculty of Computer Science of the University of A Coruña (UDC) is a key center for ICT education and research in Galicia, offering degrees in Computer Engineering, Data Science & AI, and Video Game Design. It hosts the CITIC research center.

Domains taught:

Diplomas*:

Status:

Partnerships:

Part of UDC, with strong international collaborations (e.g., through CITIC – ICT Research Center of Galicia) and partnerships with technology companies for internships and joint projects.

Research:

Leading research in artificial intelligence, data science, high-performance computing, software engineering, cybersecurity, human-computer interaction, and virtual/augmented reality.

Famous Alumnis:

N/A

International recognition**:

Number of staff***:

200

Current students***:

1800

Foreign students***:

10%

Cumulative former students***:

8000

Pros

Offers a range of modern ICT degrees, including specialized areas like video games and AI, with strong research backing (CITIC).

Cons

Highly competitive for some programs, particularly Data Science and AI.

Best For

Students seeking cutting-edge education in computer science, data science, AI, or video game development in Galicia.

Most Similar Schools Locally

  • Escuela de Ingeniería Informática offers a comparable education in computer vision, statistics and data analytics: it runs the same bachelor's, master's and doctoral programmes, and is smaller, enrolling about 800 students against roughly 1,800 here.
  • Anyone who wants a second school in the same country with a similar spread of computer vision, statistics and data analytics can consider Escola Superior de Enxeñaría Informática, and it is smaller, enrolling about 1,000 students against roughly 1,800 here, and is also a public institution.
  • Escuela Técnica Superior de Ingenierías Informática y de Telecomunicación is the closest domestic counterpart for computer vision, data analytics and AI and machine learning; it runs the same bachelor's, master's and doctoral programmes, and covers signal processing and telecommunications as well.
  • Facultat de Matemàtiques i Informàtica follows much the same lines as this school, with computer vision, statistics and data analytics as common ground, and it covers mathematics as well, and has almost the same size, at about 1,800 students.
  • Think of Barcelona School of Telecommunications Engineering when computer vision, data analytics and AI and machine learning is the priority: it covers nanotechnologies and optics as well, and has almost the same size, at about 2,000 students.

Most Similar Schools Abroad

  • Indraprastha Institute of Information Technology Delhi in India pursues a similar profile in computer vision, data analytics and AI and machine learning, and it is also a public institution, and runs the same bachelor's, master's and doctoral programmes.
  • Students considering a move abroad can look at IT University of Copenhagen in Denmark, where computer vision, data analytics and AI and machine learning also form the core, and it is slightly larger, at about 2,600 students against roughly 1,800 here, and is also a public institution.
  • Beyond national borders, Indian Institute of Technology Hyderabad stands out as a comparable school for data analytics, AI and machine learning and software engineering; it covers bioengineering and electrical and electronics as well, and is larger, enrolling about 4,000 students against roughly 1,800 here.
  • For computer vision, statistics and data analytics outside the home country, Università della Svizzera italiana in Switzerland is a natural reference; it is larger, enrolling about 3,500 students against roughly 1,800 here, and is also a public institution.
  • Hochschule Luzern, Departement Informatik, in Switzerland, takes a similar route through computer vision, statistics and data analytics; it is slightly smaller, at about 1,500 students against roughly 1,800 here, and is also a public institution.

*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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