The Master of Science (MSc) in Data Analytics and Artificial Intelligence in Science program at HKUST equips students with advanced knowledge and practical skills at the intersection of data science, artificial intelligence, and scientific research. This program is designed for individuals with a strong quantitative background who are passionate about leveraging data-driven approaches and AI techniques to solve complex problems across various scientific disciplines. Graduates will be prepared for impactful careers in research, industry, and academia, contributing to innovation in fields that rely heavily on data analysis and intelligent systems.
The curriculum is structured to provide a robust foundation in data analytics and artificial intelligence, with a focus on their application in scientific contexts. Students will engage in core courses, electives, and a capstone project or thesis.
Graduates of the MSc in Data Analytics and Artificial Intelligence in Science program are well-prepared for a variety of roles in data-intensive industries and research institutions. The program's focus on scientific applications provides a unique advantage for roles requiring analytical expertise in fields like biotechnology, environmental science, finance, and technology.
Applicants are expected to have a solid background in calculus, linear algebra, and probability/statistics. Relevant work experience or research experience may be considered.
Tuition fees are subject to revision by the University. Living costs are estimates and can vary based on individual lifestyle.
The annual tuition fee for the program is HKD 182,000. Estimated annual living costs are approximately HKD 120,000.
The program is designed to be completed in 12 months.
International applicants must achieve an overall score of 6.0 on the IELTS or an equivalent score on other accepted English proficiency tests.
Applicants need a recognized Bachelor's degree with a strong foundation in mathematics and statistics, or a scientific discipline with significant quantitative components. A solid background in calculus, linear algebra, and probability/statistics is expected.
Required documents include academic transcripts, degree certificates, CV/Resume, Statement of Purpose, two letters of recommendation, proof of English proficiency, and a copy of your passport identification page.
The application deadline for the Fall intake is December 31, 2024. Admission results are typically released by March/April.