Abbreviation FT / PT
MSc(GeoDS) FT / PT

Designed to meet the growing demand for professionals in the big data era, the Master of Science in Geospatial Data Science (MSc(GeoDS)) program provides advanced education and training in geospatial theory, technology, and applications, enabling students to address diverse environmental, social, and economic issues and contribute to sustainable communities.

The MSc(GeoDS) programme is built on a multidisciplinary foundation, blending expertise from various disciplines to provide a comprehensive learning experience. The curriculum emphasizes advanced computational, analytical, and big data science techniques, equipping students with the tools and knowledge necessary to address real-world challenges in public, private, and not-for-profit sectors. Some of the key focus areas include remote sensing, geographic information systems (GIS), machine learning, artificial intelligence (AI) for big data exploration, visualization, modeling, and analytics. By maintaining a balance between theory and practice, the program enables students to develop innovative solutions to complex problems that transcend conventional approaches.

In addition to its strong academic foundation, the MSc(GeoDS) programme also offers a range of practical learning experiences and opportunities for students to apply their newly acquired skills. These include capstone projects, internships, and collaborations with industry partners, providing students with valuable hands-on experience and connections to help them succeed in their chosen careers.

The program's STEM-designated curriculum is designed to attract highly skilled local and international students, fostering their career growth and academic scholarship opportunities. Graduates from the MSc(GeoDS) program will be well-equipped to address a wide range of application areas, including resource management, agriculture, population and health, transportation logistics, climate change, emergency management, environmental research, urban planning, and sustainable development. With a strong foundation in geospatial data science, these professionals will play a pivotal role in shaping the future of our communities and the world at large.

Mode of Attendance

Full Time (one year)
Part Time (two years)

Medium of Instruction

English

Programme Entrance Requirements

Applicants shall hold a Bachelor's degree of this University or a qualification of equivalent standard from this University or another comparable institution accepted for this purpose.

Programme Admissions Advisor(s)

Professor Shunlin Liang
Dr Hongsheng Zhang
Email: geods@hku.hk

Contacts

Ms. Skylar Ying
Email: geods@hku.hk
Website: https://www.geods.hku.hk/

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