Linguistics, statistics break into top 50 in QS rankings
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Two subjects taught and researched at City University of Hong Kong (CityU) have broken into the top 50 in world university rankings by subject complied by QS (Quacquarelli Symonds).
Linguistics and statistics and operational research are both ranked 47th in the world, according to the latest figures released by QS.
The most recent data from QS focuses on the social sciences. In addition to 47th place for statistics and operational research, CityU was ranked 51-100 in sociology, politics and international studies, and accounting and finance. Economics and econometrics ranked 101-150.
In the arts and humanities, CityU was placed 51-100 in English language and literature, in addition to 47th place for linguistics. In the natural sciences, both metallurgy and materials and mathematics ranked 51-100 while physics and astronomy were placed 101-150. In engineering and technology, CityU ranked 51-100 in computer science and information systems, engineering and technology; civil and structural engineering; electrical and electronic engineering; and mechanical, aeronautical and manufacturing.
We ranked 151-200 in psychology, too, in the life sciences and medicine category.
“I would like to congratulate all the faculty and staff involved in teaching and researching these subjects, among many others, at CityU,” said Professor Way Kuo, University President. “It’s a great boon to get this level of recognition on a global scale.”
Professor Kuo said the results were good news for Hong Kong. “We are fortunate to have five Hong Kong institutions placed in the top 200 in both accounting and economics, two subjects that employers around the world are usually very interested in,” he said.
“CityU aspires to be a globally recognised university and the QS rankings are certainly an indication that we are heading in the right direction,” he added.
According to QS, its world university rankings by subject are the first in the world to list universities by individual subject. The rankings are based on academic reputation, employer reputation and citations per paper, with a methodology tailored to fit each subject.