We are surrounded by massive data in this big data era. An enormous amount of data is continuously generated and obtained in almost every science, technology, and social science field. Data Analytics in Science is a major program offered by the School of Science starting from the 2021/22 academic year. The program is designed for science students who want to learn data analysis skills and practice them in various science disciplines.
The program introduces our students to various mathematical tools and show them how to make sense of data. Students have a chance to see how data analytics has impacted and revolutionized different fields in science. Students not only learn foundation science knowledge, but also have opportunities to be equipped with competence and skills to analyze, present, and draw sound conclusions from data in context, and ultimately bring these techniques into practice in a data-intensive field in science.
The program offers four tracks:
- Applied Biosciences Track
- Environmental Science Track
- Information Science Track
- Molecular Science and Cheminformatics Track
Courses in the tracks are not meant to train students to be experts in the corresponding fields but rather to bring them into the context of a domain of data-intensive research in science.
#37 in Mathematics (No. 1 in Hong Kong)
#50 in Statistics and Operational Research (No. 2 in Hong Kong)
(QS World University Rankings by Subject 2022)