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Escuela Politécnica Superior (Universidad Pablo de Olavide)

Escuela Politécnica Superior (Universidad Pablo de Olavide)
Address: Carretera de Utrera, km 1, Edificio 22, 41013 Sevilla, Sevilla, Spain
Computer Engineering, Data Science and Artificial Intelligence

The Higher Polytechnic School of the Pablo de Olavide University (UPO) offers degrees in Computer Engineering (with specializations in Software Engineering and Computer Systems), and more recently, Data Science and Artificial Intelligence.

Domains taught:

Diplomas*:

Status:

Partnerships:

Part of UPO, with international exchange programs and collaborations with technology companies and research groups focusing on ICT and digital transformation.

Research:

Research in software engineering, artificial intelligence, data analysis, cybersecurity, computer networks, and digital humanities.

Famous Alumnis:

N/A

International recognition**:

Number of staff***:

80

Current students***:

600

Foreign students***:

10%

Cumulative former students***:

2000

Pros

Offers specialized and modern ICT degrees in a research-oriented university with a focus on emerging technologies.

Cons

Relatively new polytechnic school with a focused offering compared to large traditional polytechnics.

Best For

Students in Seville seeking specialized degrees in computer engineering, data science, or AI.

Most Similar Schools Locally

  • Among national alternatives, Escuela de Ingeniería Informática stands out for its focus on computer vision, statistics and data analytics, and it is also a public institution, and runs the same bachelor's, master's and doctoral programmes.
  • Escola Superior de Enxeñaría Informática sits close to this institution on computer vision, statistics and data analytics; it runs the same bachelor's, master's and doctoral programmes, and is larger, enrolling about 1,000 students against roughly 600 here.
  • Facultade de Informática takes a similar route through computer vision, statistics and data analytics, and it is far larger, with about 1,800 students against roughly 600 here, and is also a public institution.
  • Where this institution leans on computer vision, statistics and data analytics, Facultat de Matemàtiques i Informàtica does the same, and it is also a public institution, and runs the same bachelor's, master's and doctoral programmes.
  • CUNEF Universidad sits close to this institution on statistics, data analytics and AI and machine learning; it has almost the same size, at about 600 students, and is private, whereas this institution is public.

Most Similar Schools Abroad

  • The closest overseas parallel on computer vision, data analytics and AI and machine learning is Indian Institute of Information Technology Lucknow, located in India; it is slightly larger, at about 800 students against roughly 600 here, and is also a public institution.
  • Indian Institute of Information Technology Sri City in India shares the computer vision, data analytics and AI and machine learning orientation of this university, and it teaches at the same levels, namely bachelor's, master's and doctoral, and covers telecommunications and robotics as well.
  • A foreign alternative with a similar emphasis on statistics, data analytics and AI and machine learning is ENSAE Paris in France, and it does not run the bachelor's programmes found here and covers quality and project management as well.
  • A foreign alternative with a similar emphasis on computer vision, data analytics and AI and machine learning is IT University of Copenhagen in Denmark, and it runs the same bachelor's, master's and doctoral programmes, and covers ergonomics and UX and project management as well.
  • Abroad, Innopolis University (Russia) covers computer vision, data analytics and AI and machine learning in a comparable way, and it covers signal processing and telecommunications as well, and is larger, enrolling about 1,000 students against roughly 600 here.

*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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