1. Have a solid foundation of mathematical and statistical processes at a level comparable to that of students graduating with a BA/BS in Statistics at other universities. Processes should include (but are not limited to) a proficiency in collection, organization, design, and drawing inferences from data using appropriate statistical methodology and problem solving skills.
  2. Demonstrate their ability to apply statistics in other fields at an appropriate level and demonstrate their ability to apply knowledge acquired from their major to real world models.
  3. Demonstrate mastery of data analysis and statistical concepts by communicating critically reasoned analysis through written and oral presentations.
  4. Acquire up-to-date skills and/or applications of computer and statistical programming related to future career choices.
  5. Apply their knowledge of statistics through an in-depth senior project/research experience. Results will be presented in both written (paper, publication, portfolio, etc.) and visual (PowerPoint, poster, portfolio, etc.) formats.
  6. Read, interpret, and critically analyze journal articles directed at undergraduate students.