We are surrounded by massive data in this big data era. A gigantic amount of data is continuously generated and obtained in almost every field in science, technology, and social science. It is therefore a major problem nowadays how to interpret and utilize these data. The program will introduce our students with various mathematical tools and will show them how to make sense of data. Students will have a chance to see how data analytics has made impacts and has revolutionized different fields in science. This program is not a conventional science program. Students will not only learn foundation science knowledge, but will also be equipped with competence and skills to analyse, present, and draw sound conclusions from data in context, and ultimately bring these techniques into practice in a data-intensive scientific field in science.
After having some training on fundamental data analytical techniques, students then choose ONE TRACK in the following scientific fields to practice and sharpen their skills. They include:
- Applied Biosciences Track,
- Environmental Science Track,
- Information Science Track, and
- 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 content of a domain of data-intensive research in science.