The M.S. program in Statistics is intended for students with a background in mathematics or statistics (not necessarily having a degree in mathematics or statistics) wanting to develop analytic skills in data analysis or pursue a higher degree in statistics. It has an emphasis on both theoretical and applied statistics. In response to the rapid increase in demand for big data analytic skills, program coursework is designed to cover classical and modern topics in linear and non-linear statistical models, statistical computation, multivariate analysis, time series and data mining which can be integrated to a wide variety of disciplines, including engineering, business, biomedical sciences, economic and social science. In addition to coursework, this program will prepare students using hands-on statistical consulting training to gain experience for career preparation or research orientation.

The program aims to shape and develop graduates as follows.

1. Develop in the academic work and research involving both theoretical and applied statistics to effectively integrate statistical knowledge into various disciplines.

2. Develop statistical skills, knowledge and competence for a professional career while pursue a higher degree in statistics.

3. Promote researching, producing and publicizing academic work or research to national or international conferences or journals.

4. Encourage positive attitudes towards one’s professional career, promote effective teamwork, morals and professional ethics.