Address: Paseo de la Castellana, 259E, 28046 Madrid, Madrid, Spain
Computer Science and Artificial Intelligence, Data and Business Analytics, Applied Mathematics
IE University is a private university with campuses in Madrid and Segovia, known for its strong focus on business, innovation, and internationalization. Its School of Science and Technology offers bachelor’s degrees in Computer Science and Artificial Intelligence, Data and Business Analytics, and Applied Mathematics.
Domains taught:
AI and Machine Learning, Computer Vision, Data Analytics, Engineering, Mathematics, Software Engineering, Statistics
Diplomas*:
Bachelor, Doctor, Master
Status:
Private
Partnerships:
Extensive global network of partner universities and strong connections with multinational corporations and startups for internships, projects, and career opportunities. Emphasis on entrepreneurship and practical learning.
Research:
Research in areas like artificial intelligence, data science, machine learning, financial technology, and computational mathematics, often with a business or societal application focus.
Famous Alumnis:
N/A
International recognition**:
Number of staff***:
150
Current students***:
1000
Foreign students***:
70%
Cumulative former students***:
5000
Pros
Offers cutting-edge technology degrees with a strong business and innovation orientation, in a highly international environment. Excellent career services.
Cons
Private university with very high tuition fees. Science and tech offerings are newer and more focused compared to traditional comprehensive universities.
Best For
Students seeking a highly international, business-oriented education in computer science, data analytics, or applied mathematics at a top private university.
CUNEF Universidad shares the core fields of this university, namely statistics, mathematics and data analytics; it is also a private institution, and runs the same bachelor's, master's and doctoral programmes.
On content, Facultat de Matemàtiques i Informàtica and this university are close, as both teach computer vision, statistics and mathematics; it teaches at the same levels, namely bachelor's, master's and doctoral, and is larger, enrolling about 1,800 students against roughly 1,000 here.
Escola Superior de Enxeñaría Informática sits close to this university on computer vision, statistics and data analytics; it has almost the same size, at about 1,000 students, and is public, whereas this university is private.
Think of IMMUNE Technology Institute when computer vision, statistics and data analytics is the priority: it is smaller, enrolling about 500 students against roughly 1,000 here, and is also a private institution.
A good alternative in the same country is Escuela de Ingeniería Informática, which likewise covers computer vision, statistics and data analytics; it is slightly smaller, at about 800 students against roughly 1,000 here, and is public, whereas this university is private.
Most Similar Schools Abroad
For a study option in India with a comparable spread of computer vision, data analytics and AI and machine learning, International Institute of Information Technology Hyderabad is the reference point: it is also a private institution, and runs the same bachelor's, master's and doctoral programmes.
Abroad, Dhirubhai Ambani Institute of Information and Communication Technology (India) covers computer vision, data analytics and AI and machine learning in a comparable way, and it teaches at the same levels, namely bachelor's, master's and doctoral, and covers telecommunications and robotics as well.
Innopolis University brings a Russia setting to the same core fields, computer vision, data analytics and AI and machine learning, and it has almost the same size, at about 1,000 students, and runs the same bachelor's, master's and doctoral programmes.
ENSIIE offers an international parallel to this university, with computer vision, statistics and mathematics as common ground; it is slightly smaller, at about 700 students against roughly 1,000 here, and is public, whereas this university is private.
Students considering a move abroad can look at ENSAE Paris in France, where statistics, mathematics and data analytics also form the core, and it does not run the bachelor's programmes found here and covers quality and project management as well.
*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:
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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