Student Learning Outcomes

What You Should Learn in Statistical Science at Duke

The Department of Statistical Science has adopted the following Student Learning Outcomes as goals for our undergraduate programs.   We assess achievement of these objectives regularly in a continuous improvement cycle.  Students provide feedback to our assessment program by: 

  • talking with their advisors and other department faculty and staff
  • completing surveys, course evaluations, and exit interviews
  • providing feedback to the Director of Undergraduate Studies and the Undergraduate Coordinator in conversations
Student Learning Outcomes

1. Students will demonstrate ability in mathematical and statistical theory---including basic probability, inference and modeling principles---necessary to understand statistical methods typically applied in data analysis.

2. Students will demonstrate ability in computational methods---including basic statistical programming, data analysis, and reproducibility---necessary to do applied data analysis.

3. Students will demonstrate the ability to use appropriate statistical methodologies for real-world data analysis settings.

4. Students will evaluate ethical implications of aspects related to statistical inquiry, including study design, data collection, and data analysis.

5. Students who take only one or two courses from the department will demonstrate understanding of the usefulness, importance, and power of statistical thinking and methodologies.

6. Students will develop skills in written communication of statistical findings.

7. Students will develop skills in oral presentation of statistical findings.

8. Students will develop skills in conducting research in statistical Science