Among the "Big Mac" universities in China, Jida is the largest.
Jilin University is the only "Big Mac" university in China with more than 70,000 students. According to the data of 20 18-20 19, there are 70,844 students in Jilin University. According to the latest data from official website, there are as many as 736 18 students in Jilin University, which is equivalent to the population of a small city.
Why is the scale of Jilin University so large? The reason is the merger. Today's Jida University is formed by the merger of six universities twice. Therefore, after the merger, Jida is proud of its scale.
What impact does the merger of colleges and universities have on Jida University?
At present, there are 5 1 teaching units, covering 13 disciplines, 139 undergraduate majors, 63 first-class master's degree authorization points and 49 first-class doctoral degree authorization points. There are more than 6,500 full-time teachers, and the ESI ranking of 18 discipline (field) ranks among the top 65,430 in the world.
Two of them are among the top in the world 1‰. Today, Jida has become a double-class university, ranking among the top 20 universities in China.
Jilin university major
Jilin University, located in Changchun, the capital of Jilin Province, is a comprehensive research-oriented national key university directly under the Ministry of Education and directly managed by the central government. It is also a national key construction school of "Double First Class", "2 1 1 Project" and "985 Project".
The specialties offered by Jilin University include: plant protection, chemistry, Chinese language and literature, physics, Spanish, political science and administration, sociology, inorganic non-metallic material engineering, agricultural resources and environment, material physics, environmental design, photoelectric information science and engineering, surveying and mapping engineering, electronic information engineering, road and bridge engineering, composition and composition technology theory, information engineering, biopharmaceuticals, intelligent manufacturing engineering, data science and big data technology.