Address: Paseo de la Castellana, 91, 28046 Madrid, Madrid, Spain
Computer Science, International Business with Data Analytics
Schiller International University is a private American university with multiple international campuses, including Madrid. It offers undergraduate and graduate programs in areas like International Business, International Relations, and STEM fields including Computer Science.
Domains taught:
Data Analytics, Engineering, Software Engineering
Diplomas*:
Bachelor, Master
Status:
Private
Partnerships:
International network of campuses provides opportunities for study abroad. Focus on global perspectives and experiential learning. Internships with multinational companies.
Research:
Research interests of faculty often reflect international business, global studies, and applied technology.
Famous Alumnis:
N/A
International recognition**:
Number of staff***:
50
Current students***:
300
Foreign students***:
70%
Cumulative former students***:
5000
Pros
Offers an American-style education in an international environment, with the possibility of transferring between campuses. STEM programs available.
Cons
Private American university, tuition fees are high. STEM offerings might be less extensive than dedicated technical universities.
Best For
Students seeking an American university degree in an international setting in Madrid, with options including Computer Science.
For students who like the data analytics, software engineering and engineering focus of this institution but want another option nearby, Saint Louis University Madrid Campus fits well: it is far larger, with about 900 students against roughly 300 here, and is also a private institution.
Suffolk University Madrid Campus follows much the same lines as this university, with data analytics, software engineering and engineering as common ground, and it is slightly larger, at about 400 students against roughly 300 here, and is also a private institution.
Both schools build their programmes around data analytics, software engineering and engineering, and Universidad Europea Miguel de Cervantes - Escuela Politécnica Superior is the one to compare first within the country, since it is larger, enrolling about 600 students against roughly 300 here, and is also a private institution.
For students who like the data analytics, software engineering and engineering focus of this institution but want another option nearby, Universidad Pontificia de Salamanca - Facultad de Informática fits well: it is also a private institution and also offers doctoral programmes.
Anyone who wants a second school in the same country with a similar spread of software engineering and engineering can consider Centro Universitario CESINE, and it is also a private institution, and teaches at the same levels, namely bachelor's and master's.
Most Similar Schools Abroad
Looking internationally, George Washington University in the United States is where data analytics, software engineering and engineering get a comparable treatment; it covers finance and statistics as well, and is far larger, with about 24,500 students against roughly 300 here.
John Cabot University offers an international parallel to this university, with data analytics and software engineering as common ground; it is also a private institution and does not run the master's programmes found here.
Dartmouth College in the United States is the nearest foreign match on data analytics, software engineering and engineering; it is also a private institution and also offers doctoral and mba programmes.
Looking internationally, Macau University of Science and Technology in Macau is where data analytics and software engineering get a comparable treatment; it also offers doctoral and mba programmes and covers finance and astroscience as well.
For a study option in Poland with a comparable spread of data analytics and software engineering, University of Humanities and Economics in Włocławek is the reference point: it runs the same bachelor's and master's programmes and covers project management and telecommunications 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.
Artificial Intelligence (AI), Computer Aided Design (CAD), Computer Aided Manufacturing (CAM), Machine Learning, Research and Development, Software Engineering
*: 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.
Innovation.world is not affiliated with this school/university. We recommend to contact them directly on their website for any special request.
To complete or correct any information here or share your opinion, please comment below or > send us a direct message <.