Data Science

Program Goals

To design, implement, and evaluate a data-driven solution to meet a given set of stakeholder requirements in the context of the program’s discipline involving the collection, representation, manipulation, storage, governance, security, modeling (descriptive, predictive, and prescriptive), and data visualization.
To design, implement, and evaluate a data-driven solution to meet a given set of stakeholder requirements in the context of the program’s discipline involving the collection, representation, manipulation, storage, governance, security, modeling (descriptive, predictive, and prescriptive), and visualization of data.
To communicate effectively (in written, verbal, technical, visual, and non-technical forms) in various professional contexts and assist decision-makers with interpreting and implications of conclusions supported by data.

Program Learning Outcomes (PLOs)

PLO 1.	Develop relevant programming abilities.
PLO 2.	Demonstrate proficiency with statistical analysis of data.
PLO 3.	Develop the ability to build and assess data-based models.
PLO 4.	Execute statistical analyses with professional statistical software.
PLO 5.	Demonstrate skills in data management.
PLO 6.	Apply data science concepts and methods to solve problems in real-world contexts and communicate these solutions effectively.