Program Educational Objectives (PEOs):
After a few years of graduation, our graduates will be able to:
- PEO1) Demonstrate excellence in Data Science and AI by applying scientific research methods, engaging in postgraduate studies, and contributing to innovative solutions that advance knowledge in the field.
- PEO2) Exhibit creativity, leadership, and problem-solving skills, leveraging modern technologies and the scientific process of development to address complex societal and industrial challenges.
- PEO3) Engage in continuous learning to maintain up-to-date knowledge and skills in emerging trends of Data Science and AI, fostering personal and professional growth throughout their careers.
- PEO4) Contribute to community development and service by applying Data Science and AI solutions that promote modernization, social responsibility, and sustainable practices.

 

Student Outcomes (SOs): 
By the time of graduation, students will have the ability to:
- SO1) Analyze a complex computing problem and apply principles of computing and other relevant disciplines to identify solutions. 
- SO2) Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline. 
- SO3) Communicate effectively in a variety of professional contexts. 
- SO4) Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles. 
- SO5) Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline. 
- DS6) Apply theory, techniques, and tools throughout the data science lifecycle and employ the resulting knowledge to satisfy stakeholders’ needs.