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 and Artificial Intelligence in Science (DASC) is a major program designed for science students who want to learn data analysis skills and practice them in various science disciplines.
Program Curriculum
The curriculum starts with basic training in programming and computational skills, as well as analytic methods and statistics, and data visualization. Students will then declare one of the following study tracks at the start of Year 3 to practise 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.
Rankings:
#43 in Statistics and Operational Research (No.1 in Hong Kong)
#47 in Mathematics (No.1 in Hong Kong)
(QS World University Rankings by Subject 2024)
We see tremendous new applications of data analytics these years. In the business world, techniques from data analytics help draw sharper insights into their customers, and improve the operational, manufacturing and computational efficiencies. In Fintech, data analytics can effectively predict the stock price, design new financial products, detect fraud transactions, etc. Therefore, graduates with training in data analytics are in extremely high demand in today’s job market.