Program Educational Objectives (PEOs)

1. Graduates will meet the local and regional market’s needs in the growing field of data science, and develop strategies to meet and address the challenges of ever increasing amounts of data produced.
2. Graduates will be able to continuously self-learn and enhance their skills, adopting new techniques and methods, and advancing in future trends in data science.
3. Graduates will contribute to discovering and advancing new knowledge in data science through innovative research, addressing emerging techniques, challenges, and technologies that influence the field.

Program Learning Outcomes (PLOs)

1. Analyze and apply computing and modeling principles to find relevant data science solutions.
2. Design, implement and evaluate computing-based solutions to meet a range of computing requirements related to data science.
3. Communicate effectively within a diverse work group related to the professional framework.
4. Conduct scholarly research to apply concepts of computing and data modeling to contemporary issues.
5. Apply the theories and fundamentals of data science to produce solutions based on artificial intelligence.