The program is designed to cultivate data-analytic graduates equipped to fulfill the increasing demand for advanced data science skills. It prepares graduates to effectively apply data science techniques for knowledge discovery and dissemination, enhancing organizational decision-making processes. Additionally, the program serves as a developmental platform for data analytic professionals seeking to elevate their technical management and development skills. It also offers a streamlined pathway for students from related quantitative disciplines to transition seamlessly into data science careers.

Upon successful completion of this program, students should be able to:

1. Apply knowledge of science and engineering appropriate to the data science discipline.
2. Understand the theoretical foundation of contemporary techniques and apply them for managing, mining, and analyzing data across multiple disciplines.
3. Comprehend computational tools and use data-driven thinking to discover new knowledge and to solve real-world problems with complex structures.
4. Recognize the need for and engage in continuous learning about emerging and innovative data science techniques and ideas.
5. Communicate ideas and findings in written, oral, and visual forms, and work in a diverse team environment.