DSA MS Student Learning Outcomes
Student learning outcomes (SLOs) are statements which specify knowledge, skills, abilities or attitudes that students are expected to attain by the end of the DSA MS program.
- DSA graduates will be able to select and apply an appropriate statistical, mathematical or computational model for a given quandary.
- DSA graduates will be able to acquire data from data scraping and open sources and understand the ethical and legal ramifications of data acquisition.
- DSA graduates will be able to store, clean, organize, and manipulate real world data from multiple sources.
- DSA graduates will be able to compose and present an effective oral, written report or dynamic dashboard, to a lay audience (including storytelling and data visualization) that enhances the audience’s understanding and reveals properties of the data.
- DSA graduates will be able to use the appropriate software or programming application (Python, SQL, SAS, SPSS, Excel) to manage and analyze data.
- DSA graduates will be able to perform effectively as a member of a team to execute a project and will understand what contributes to team success.
- DSA graduates will be able to integrate context specific information into their data manipulation allowing them the flexibility to interpret data from many different environments
