News & Stories

HKUST President Prof. Nancy IP (sixth right), Head of Charities (Positive Ageing and Elderly Care) of The Hong Kong Jockey Club Mr. Bryan WONG (fifth left), HKUST Provost Prof. GUO Yike (fourth left), and other senior management of HKUST inaugurate the three JC STEM Labs with three HKUST Global STEM Professors, namely Prof. ZHOU Xiaofang, Prof. XIE Ting and Prof.

Defying circumstances and overcoming challenges, HKUST undergraduate Kevin LEUNG sets an example by winning himself an incredible 15 scholarships.

Mechanical engineering student soars to round 2 of Airbus Fly Your Ideas 2019.

Prof. Jin Qi, Assistant Professor, Department of Industrial Engineering & Decision Analytics Freshly announced in the budget three weeks ago, a new HK$10 billion stabilization fund has been earmarked to soothe Hong Kong’s manpower-starved public medical sector. While we welcome the initiative, we can’t help but wonder – if public hospitals are currently short-staffed and new blood requires training time – how we can cope with swamped outpatient clinics during future peak flu seasons? Media reports last month indicated that every public ward exceeded capacity, with some patients queuing for over eight hours to see a doctor. The inpatient bed occupancy rates of every hospital, aside from North Lantau and Tin Shui Wai hospitals, exceeded 100 percent almost on a daily basis. Scarce resources require carefully planned policies to ensure optimal bed allocation and quality services.

The School of Science (SSCI) and the School of Engineering (SENG) at The Hong Kong University of Science and Technology (HKUST) jointly launched a new degree program in Data Science and Technology (DSCT) amid a pressing demand for data scientists in a world of data explosion. As the first tech-based data science program in Hong Kong for undergraduate students, DSCT seeks to nurture interdisciplinary and pragmatic talents who could address the needs of the society with data analytic and technical approaches.At present, data science programs for undergraduate students tend to focus more on the business dimension - such as how to derive business and management strategies from a pool of data, and less on data engineering skills including coding, machine learning and statistic theories.