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IMMUNE Technology Institute

IMMUNE Technology Institute
Address: Paseo de la Castellana, 89, 28046 Madrid, Madrid, Spain
Computer Science, Data Science, Cybersecurity

IMMUNE Technology Institute, located in Madrid, is a private higher education institution focused on cutting-edge technology education, particularly in Computer Science, Data Science, Cybersecurity, and AI.

Domains taught:

Diplomas*:

Status:

Partnerships:

Strong collaborations with leading technology companies and startups for internships, real-world projects, and talent recruitment. Emphasis on practical skills and industry-relevant curriculum.

Research:

Focus on applied research and innovation projects in areas like artificial intelligence, big data, cybersecurity threats, and software development methodologies.

Famous Alumnis:

N/A

International recognition**:

Number of staff***:

80

Current students***:

500

Foreign students***:

20%

Cumulative former students***:

1000

Pros

Highly specialized in current and future technology fields, with a curriculum designed by industry professionals and a strong focus on employability in the tech sector.

Cons

Private institution. Newer and highly specialized, so broader academic recognition is still developing.

Best For

Students aiming for careers in high-demand tech fields like data science, cybersecurity, or AI, seeking an industry-focused, practical education.

Most Similar Schools Locally

  • Escuela de Ingeniería Informática is the closest domestic counterpart for computer vision, statistics and data analytics; it is public, whereas this institution is private, and also offers doctoral programmes.
  • IE University - School of Science and Technology works in much the same fields, chiefly computer vision, statistics and data analytics, and it covers mathematics as well, and is larger, enrolling about 1,000 students against roughly 500 here.
  • On content, CUNEF Universidad and this institution are close, as both teach statistics, data analytics and AI and machine learning; it also offers doctoral programmes and covers mathematics as well.
  • Among national alternatives, Facultade de Informática stands out for its focus on computer vision, statistics and data analytics, and it also offers doctoral programmes, and is far larger, with about 1,800 students against roughly 500 here.
  • Another national school that puts computer vision, statistics and data analytics at the centre is Escola Superior de Enxeñaría Informática, and it is public, whereas this institution is private, and also offers doctoral programmes.

Most Similar Schools Abroad

  • For a study option in France with a comparable spread of computer vision, statistics and data analytics, 3iL Ingénieurs is the reference point: it does not run the bachelor's and diploma programmes found here and covers ergonomics and UX and quality as well.
  • Carnegie Mellon University in the United States is the nearest foreign match on computer vision, data analytics and AI and machine learning; it is far larger, with about 15,300 students against roughly 500 here, and is also a private institution.
  • On content, International Institute of Information Technology Hyderabad in India and this school are close, as both teach computer vision, data analytics and AI and machine learning; it covers bioinformatics and robotics as well, and is far larger, with about 2,000 students against roughly 500 here.
  • The closest overseas parallel on computer vision, data analytics and AI and machine learning is Dhirubhai Ambani Institute of Information and Communication Technology, located in India; it is larger, enrolling about 1,200 students against roughly 500 here, and is also a private institution.
  • On content, Innopolis University in Russia and this school are close, as both teach computer vision, data analytics and AI and machine learning; it is larger, enrolling about 1,000 students against roughly 500 here, and also offers doctoral programmes.

*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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