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Sookmyung Women’s University

Address: 100 Cheongpa-ro 47-gil, Yongsan-gu, Seoul 04310, South Korea
Engineering;Life Sciences;AI and Machine Learning

Founded in 1906, it is one of South Korea’s prominent women’s universities with strong STEM and humanities programs.

Domains taught:

Diplomas*:

Status:

Partnerships:

Global partnerships focused on women’s education and STEM

Research:

Research in AI, biotechnology, and engineering

Famous Alumnis:

N/A

International recognition**:

Number of staff***:

1200

Current students***:

14000

Foreign students***:

20%

Cumulative former students***:

60000

Pros

Strong women’s STEM education; diverse offerings

Cons

Women only enrollment

Best For

Leading women’s STEM university

Most Similar Schools Locally

  • In terms of fields, Ewha Womans University is the nearest neighbour, with life sciences, AI and machine learning and engineering again at the core; it is larger, enrolling about 21,000 students against roughly 14,000 here, and is also a private institution.
  • Kyung Hee University works in much the same fields, chiefly life sciences, AI and machine learning and engineering, and it is also a private institution, and teaches at the same levels, namely bachelor's, master's and doctoral.
  • Anyone who wants a second school in the same country with a similar spread of life sciences, AI and machine learning and engineering can consider Dankook University, and it is also a private institution, and teaches at the same levels, namely bachelor's, master's and doctoral.
  • On content, Sungkyunkwan University and this university are close, as both teach AI and machine learning and engineering; it is also a private institution, and runs the same bachelor's, master's and doctoral programmes.
  • Sungshin Women's University follows much the same lines as this institution, with life sciences and engineering as common ground, and it is also a private institution and does not run the doctoral programmes found here.

Most Similar Schools Abroad

  • Pontifical Catholic University of Rio Grande do Sul offers an international parallel to this university, with life sciences and engineering as common ground; it covers computer vision as well, and has almost the same size, at about 13,000 students.
  • Federal University of Paraíba in Brazil shares the life sciences and engineering orientation of this university, and it is public, whereas this university is private, and teaches at the same levels, namely bachelor's, master's and doctoral.
  • University of Notre Dame, in the United States, takes a similar route through life sciences, AI and machine learning and engineering; it has almost the same size, at about 13,000 students, and is also a private institution.
  • Brown University, in the United States, takes a similar route through life sciences, AI and machine learning and engineering; it runs the same bachelor's, master's and doctoral programmes, and covers physics and mathematics as well.
  • Beyond national borders, University of Bristol stands out as a comparable school for life sciences, AI and machine learning and engineering; it teaches at the same levels, namely bachelor's, master's and doctoral, and covers aerospace and chemistry 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: 

  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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