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Sogang University

Sogang University
Address: 35 Baekbeom-ro, Mapo-gu, Seoul 04107, South Korea
Engineering;Computer Vision;AI and Machine Learning

Founded in 1960 by Jesuits, Sogang University is a private research university emphasizing liberal arts and science.

Domains taught:

Diplomas*:

Status:

Partnerships:

Partnerships with international Catholic universities and research centers

Research:

Research in AI, computer science, and engineering

Famous Alumnis:

N/A

International recognition**:

Number of staff***:

1100

Current students***:

13000

Foreign students***:

25%

Cumulative former students***:

70000

Pros

Strong liberal arts integration; quality education

Cons

Smaller engineering faculty

Best For

Strong blend of liberal arts and tech education

Most Similar Schools Locally

  • On content, Soongsil University and this university are close, as both teach computer vision, AI and machine learning and engineering; it does not run the doctoral programmes found here, and has almost the same size, at about 12,000 students.
  • Also strong in AI and machine learning and engineering, Ewha Womans University makes a sensible second look at home; it covers life sciences as well, and is larger, enrolling about 21,000 students against roughly 13,000 here.
  • For students who like the AI and machine learning and engineering focus of this university but want another option nearby, Sookmyung Women's University fits well: it covers life sciences as well, and has almost the same size, at about 14,000 students.
  • Hankuk University of Foreign Studies sits close to this university on AI and machine learning and engineering; it runs the same bachelor's, master's and doctoral programmes, and covers project management as well.
  • Sungkyunkwan University takes a similar route through AI and machine learning and engineering, and it teaches at the same levels, namely bachelor's, master's and doctoral, and covers materials as well.

Most Similar Schools Abroad

  • On content, Pontifical Catholic University of Rio de Janeiro in Brazil and this institution are close, as both teach computer vision and engineering; it has almost the same size, at about 12,000 students, and is also a private institution.
  • The closest overseas parallel on computer vision and engineering is Pontifical Catholic University of Rio Grande do Sul, located in Brazil; it has almost the same size, at about 13,000 students, and is also a private institution.
  • Carnegie Mellon University brings a the United States setting to the same core fields, computer vision, AI and machine learning and engineering, and it also offers mba programmes and covers industrial design and robotics as well.
  • The closest overseas parallel on engineering is University of Colorado Denver, located in the United States; it is public, whereas this institution is private, and teaches at the same levels, namely bachelor's, master's and doctoral.
  • In Russia, ITMO University teaches much the same core subjects, computer vision and AI and machine learning, and it is public, whereas this university is private, and runs the same bachelor's, master's and 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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