Program Educational Objectives (PEOs)

1. Graduates are able to utilize their acquired skills and knowledge in data science and artificial intelligence to pursue a successful career in various sectors nationally and internationally. 

2. Graduates are able to act as effective individuals or leaders who can address data science and artificial intelligence related technical, business, and ethical challenges. 

3. Graduates are able to engage in life-long learning and professional development or graduate studies in data science and artificial intelligence related fields.  

Student Outcomes (SOs)

Upon completing the program, students are expected to be able to:

1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
2. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
3. Communicate effectively in a variety of professional contexts
4. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
5. Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
6. Apply theory, techniques, and tools throughout the data science lifecycle and employ the resulting knowledge to satisfy stakeholders’ needs.