The Department of Statistics and Applied Probability (DSAP) was established in 1 April 1998 and renamed to Department of Statistics and Data Science (DSDS) on 1 July 2021 with the goals to advance statistical and data science, and, ultimately by its application, to improve and provide adequate services to our community.
To anticipate and meet the training needs for developing biomedical or life science program as the fourth pillar of our economy, the Department is implementing a concentration program in Biostatistics. This program is specialized in training statistics students who are interested in biomedical sciences, or the biological sciences students with interest in statistics. From the scientific point of view, the initiative also emerges in response to the continuing urgent need in handling and analyzing large amount of genomic data. Therefore, our main academic preparation will focus on all quantitative aspects of genomic science such as mathematical, statistical and computational analysis. The applied research concentrations and the curriculum will be necessarily expanded to include quantitative genetics, medical imaging, DNA/protein chip statistical analysis, neural science, cancer research, cardiovascular research, AIDS and other infectious diseases, stem cell research and pharmaceutical research.
The department offers two Bachelor of Science degrees; in Statistics and, Data Science and Analytics. In addition, DSDS also offers degrees at both Masters and doctoral levels. These programmes are appropriate for the student who has a mathematical or statistics background. The undergraduate curriculum offers students the most needed probability and statistical knowledge; the graduate programme prepares them to conduct research and scientific investigations in collaborative environments. Our department runs short-courses for adult learners as well. Our CET team has a suite of SSG-approved courses for upskilling and keeping up with the data revolution. For more information, refer to the relevant sections of our site.
Our distinguished faculty members possess a wealth of experience in various areas of statistics and data science, including statistical methodology, data analysis, machine learning, and beyond. Their research covers theoretical and practical perspectives and they work in collaboration with professionals from diverse disciplines to tackle real-world challenges. For more details, do visit our site pages on individual faculty members.
The Data Analytics Consulting Centre (DACC), a sub-unit of DSDS, provides statistical consultation and data analysis services. For more information, please refer to the Consulting page of our site.
