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Officially established in June 2022, The Hong Kong University of Science and Technology (Guangzhou) (HKUST(GZ)) is a legally independent higher education institution cooperatively run between the Chinese mainland and the Hong Kong Special Administrative Region.
Under the “Unified HKUST, Complementary Campuses” framework, HKUST(GZ) and HKUST, while existing as separate legal entities, maintain consistency in the academic standard, faculty recruitment, and program quality. Such cross-campus collaboration produces greater synergy by sharing resources and complementing each other’s strengths.
In addition to pioneering a new path in higher education, HKUST(GZ) is fully committed to cultivating forward-looking talents with global visions who can flexibly adapt to the future development of the technology industry and society. Equipped with creative thoughts, innovative skills and professional expertise, graduates of the University are able to navigate the rapidly changing world inundated with increasingly complex challenges.
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With increasingly heated attention to the field of artificial intelligence, this program aims at the frontier of science and technology, builds a platform for in-depth interdisciplinary integration, and cultivates professional talents with innovative thinking and hands-on abilities. In this program, students strive to consolidate their core knowledge of AI, including machine learning, data mining, knowledge representation and processing, and master practical skills in building AI systems. This program contributes to the incubation of AI talents and applied research, as well as the enlightenment of today's era of digital transformation.
As a national basic strategic resource, Big Data Science has become the focus of attention in academia and industry. Data Science and Big Data Technology is interdisciplinary across computer science, statistics, mathematics and other fields. This program aims to cultivate all-round talents in data science. Students will have a solid theoretical foundation, good scientific literacy and a sense of social responsibility, as well as be able to solve complex problems in practical situations with systematic data thinking and meet the challenges of Data Science and Big Data in the real world.
