Computer Engineering, Telecommunications Engineering, Data Science and AI
The Higher Technical School of Computer and Telecommunication Engineering of the University of Granada (UGR) is a leading center for ICT education and research in Andalusia. It offers degrees in Computer Engineering, Telecommunications Engineering, and Data Science & AI.
Domains taught:
AI and Machine Learning, Computer Vision, Data Analytics, Electrical and Electronics, Engineering, Robotics, Signal Processing, Software Engineering, Telecommunications
Diplomas*:
Bachelor, Doctor, Master
Status:
Public
Partnerships:
Part of UGR, a major research university with extensive international partnerships (Arqus European University Alliance). Strong collaborations with technology companies and research institutes (e.g., CITIC-UGR, Andalusian Research Institute in Data Science and Computational Intelligence – DaSCI).
Research:
Leading research in areas like artificial intelligence, data science, cybersecurity, software engineering, telecommunication networks, high-performance computing, and bio-inspired computing.
Famous Alumnis:
N/A
International recognition**:
Number of staff***:
350
Current students***:
4000
Foreign students***:
10%
Cumulative former students***:
20000
Pros
Highly ranked school for computer science and telecommunications in Spain, with excellent research output and strong industry demand. Part of a major university.
Cons
Very competitive admissions. Demanding curriculum. Large student body.
Best For
Students aiming for a top-tier education in computer science, telecommunications, or data science/AI at a leading research university.
*: 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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