The recent development in big data and data driven techniques has a big impact across many areas in the society. It also changed how education and research are done in different areas of science. Many scientific fields are driven by data. Consequently science programs are ready to provide training fields for students to practice various data analytical skills. This program is not a conventional science program. Conventional science education programs focus more on data collection through experiments and observations. This program is structured in such a way that students will be equipped to analyse, present, and draw sound conclusions from data in context, using knowledge of statistical inference and computational processes. Students then choose ONE TRACK in a scientific field to practice and sharpen their skills. 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. This program also distinguishes itself from most other Data Science programs in that students are not only trained in data analytical skills. The ultimate purpose is to bring these techniques into practice in a data-intensive scientific field. Another unique feature of this program is that all graduates will acquire certain knowledge in social analytics, which is a data-intensive area of growing importance.