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. |