Founded 1897, Soongsil is a private Christian university focusing on engineering and computer science.
Address: 369 Sangdo-ro, Dongjak-gu, Seoul 06978, South Korea
Engineering;Computer Vision;AI and Machine Learning
Domains taught:
- AI and Machine Learning, Computer Vision, Engineering
Diplomas*:
- Bachelor, Master
Status:
- Private
Partnerships:
Academic exchange with international universities
Research:
Research active in AI, computer vision, and software engineering
Famous Alumnis:
N/A
International recognition**:
Number of staff***:
700
Current students***:
12000
Foreign students***:
15%
Cumulative former students***:
30000
Pros
Strong engineering programs
Cons
Smaller size
Best For
Christian university with strong tech focus
Most Similar Schools Locally
- Sogang University offers a comparable education in computer vision, AI and machine learning and engineering: it also offers doctoral programmes, and has almost the same size, at about 13,000 students.
- Anyone who wants a second school in the same country with a similar spread of computer vision and engineering can consider Sejong University, and it is slightly larger, at about 14,000 students against roughly 12,000 here, and is also a private institution.
- Where this institution leans on computer vision and engineering, Kookmin University does the same, and it covers project management as well, and has almost the same size, at about 13,000 students.
- Another national school that puts AI and machine learning and engineering at the centre is Hankuk University of Foreign Studies, and it also offers doctoral programmes and covers project management as well.
- A good alternative in the same country is Kwangwoon University, which likewise covers computer vision and engineering; it is also a private institution, and teaches at the same levels, namely bachelor's and master's.
Most Similar Schools Abroad
- Pontifical Catholic University of Rio de Janeiro (Brazil) works on the same fields as this institution, chiefly computer vision and engineering; it has almost the same size, at about 12,000 students, and is also a private institution.
- Pontifical Catholic University of Paraná, based in Brazil, is built around computer vision and engineering much like this institution, and it is also a private institution and also offers doctoral programmes.
- For computer vision, AI and machine learning and engineering outside the home country, Carnegie Mellon University in the United States is a natural reference; it also offers doctoral and mba programmes and covers industrial design and robotics as well.
- In the United States, Brown University teaches much the same core subjects, AI and machine learning and engineering, and it is also a private institution and also offers doctoral programmes.
- The closest overseas parallel on computer vision, AI and machine learning and engineering is Polish-Japanese Academy of Information Technology, located in Poland; it also offers doctoral and mba programmes and covers ergonomics and UX and signal processing 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.
- Agile Methodology, Artificial Intelligence (AI), Design Thinking, Engineering, Innovation, 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.
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