The Ph.D. program in Statistics emphasizes both theoretical and applied statistics as well as its application in other academic disciplines, across sciences, social sciences and health sciences. It aims to coach and train candidates for both academic and professional careers in the rapidly growing fields of statistics and data science. This program is designed to serve a broad range of the applications of advanced statistics in big data analytics such as data mining, machine learning, etc. Furthermore, the program focuses on the development of statistical models and statistical learning to cope with unstructured data which generally violate the data assumptions and include complex features and huge dimensions.

The program aims to produce doctoral graduates equipped with the following qualifications :

1. To instill in doctoral candidates a profound understanding of advanced statistics, enabling them to apply this knowledge adeptly in diverse scenarios.

2. To cultivate advanced research skills in statistics encompassing both theoretical and applied dimensions.

3. To foster the capacity to generate new knowledge in advanced statistics, facilitating academic advancement. Graduates will integrate statistical expertise into various fields, driving economic, societal, and technological development, thereby enhancing people's quality of life and well-being.

4. To develop doctoral graduates with a positive professional demeanor, fostering effective collaboration, and upholding strong ethical and moral standards.