Address: 333 Techno Jungang-daero, Hyeonpung-myeon, Dalseong-gun, Daegu 42988, South Korea
Robotics;AI and Machine Learning;Engineering
Formerly part of Daegu University, DGIST became independent in 2004 focusing on science and technology research.
The Daegu Gyeongbuk Institute of Science and Technology, DGIST, was established in 2004 in the Daegu Technopolis, a science and technology park in the south of Daegu, in the south-east of Korea. It has about 1,400 students and 500 staff, and around a quarter of the students come from abroad. The campus on Techno Jungang-daero, in the Hyeonpung district, is in the countryside at the edge of the city, with modern laboratories and student dormitories.
DGIST was founded by the government to support the development of the region and to train researchers in fields that connect disciplines. Its departments cover physics and chemistry, brain sciences, electrical engineering and computer science, robotics and mechanical engineering, energy science and engineering, new biology, and interdisciplinary studies. The institute uses a convergence approach, in which students and professors are expected to combine fields such as robotics and neuroscience or energy and materials.
Research areas include brain science, robotics, battery and energy technology, nanomaterials, biomedical engineering and artificial intelligence. DGIST has built research centres on neuroscience, on microrobots and on information technology, and it cooperates with industry in Daegu and with national laboratories. Undergraduates take part in research from the first years, and the institute has a small size that supports close contact with professors.
Admission for Korean students uses the national exam and the university’s own screening, while international applicants apply directly with academic records and language tests. Courses are taught in English, and Korean language classes are offered. Tuition is covered or reduced for many students through scholarships. Check the current tariff and the aid available for foreign students.
Daegu is the third-largest city of Korea, with hot summers and a lower cost of living than Seoul. DGIST provides dormitories on campus, and the high-speed train reaches Seoul in about two hours from Dongdaegu station. A shuttle connects the campus to the city centre.
Domains taught:
AI and Machine Learning, Engineering, Robotics
Diplomas*:
Bachelor, Doctor, Master
Status:
Public
Partnerships:
Active in domestic and international science collaborations
Among national alternatives, Gwangju Institute of Science and Technology stands out for its focus on AI and machine learning and engineering, and it is smaller, enrolling about 900 students against roughly 1,400 here, and is also a public institution.
Both schools build their programmes around engineering, and Catholic University of Daegu is the one to compare first within the country, since it is far larger, with about 11,000 students against roughly 1,400 here, and is private, whereas this institution is public.
Ewha Womans University is the closest domestic counterpart for AI and machine learning and engineering; it covers life sciences as well, and is far larger, with about 21,000 students against roughly 1,400 here.
Think of Sungkyunkwan University when AI and machine learning and engineering is the priority: it teaches at the same levels, namely bachelor's, master's and doctoral, and covers materials as well.
For students who like the AI and machine learning and engineering focus of this school but want another option nearby, Kyung Hee University fits well: it is private, whereas this school is public, and runs the same bachelor's, master's and doctoral programmes.
Most Similar Schools Abroad
Indian Institute of Technology Mandi in India is the nearest foreign match on robotics, AI and machine learning and engineering; it is slightly larger, at about 1,800 students against roughly 1,400 here, and is also a public institution.
If this school is on your list for robotics, AI and machine learning and engineering, Indian Institute of Technology Jodhpur in India deserves a comparison, because it is also a public institution, and runs the same bachelor's, master's and doctoral programmes.
University of Agder in Norway is the nearest foreign match on robotics, AI and machine learning and engineering; it covers automation and mechanical engineering as well, and is far larger, with about 13,000 students against roughly 1,400 here.
Escola Técnica Superior de Enxeñaría in Spain shares the robotics, AI and machine learning and engineering orientation of this school, and it is slightly larger, at about 2,000 students against roughly 1,400 here, and is also a public institution.
Escola de Enxeñaría de Telecomunicación, based in Spain, is built around robotics, AI and machine learning and engineering much like this institution, and it has almost the same size, at about 1,500 students, and is also a public institution.
*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.
FAQ
Where is DGIST?
At 333 Techno Jungang-daero, Hyeonpung-myeon, Dalseong-gun in Daegu, South Korea.
When was it established?
In 2004.
How large is it?
About 1,400 students and 500 staff, with around a quarter of students from abroad.
Why was it created?
The government founded it to support the development of the region and to train researchers in fields that connect disciplines.
What is its convergence approach?
Students and professors are expected to combine fields such as robotics and neuroscience or energy and materials.
What research does it do?
Brain science, robotics, batteries and energy, nanomaterials, biomedical engineering and artificial intelligence.
Are courses taught in English?
Yes. Courses are taught in English, and Korean language classes are offered.
How do international students apply?
They apply directly with academic records and language tests.
What does it cost?
Tuition is covered or reduced for many students through scholarships. Check the current tariff and the aid available.
How far is Daegu from Seoul?
About two hours by high-speed train from Dongdaegu station.
Artificial Intelligence (AI), Bioengineering, Engineering, Innovation, Machine Learning, Research and Development, Robotics, Sustainable Development
*: 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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