- Understanding Basic Principles
- Students should have a firm grasp of the concepts and consequences of variation.
- They should possess an ability to extract information from data.
- Understanding Theoretical Underpinnings
- Students should have a strong foundation in mathematics.
- They should have a clear understanding of how to write a proof.
- They should have a clear understanding of the theoretical development of statistical techniques.
- Familiarity with Statistical Techniques
- Students should be able to express a research question in statistical terms and select appropriate statistical techniques in given contexts.
- They should possess the skills to apply statistical procedures and modeling approaches to a wide variety of real-life problems.
- They should be able to develop an effective sampling plan.
- They should be able to provide correct interpretations from a set of analyses and include any limitations to the study.
- They should have the ability to recommend decisions in the face of uncertainty.
- Proficiency with Technology
- Students should possess strong computing skills.
- They should be familiar with statistical software packages.
- Ability to Communicate
- Students should possess inter-personal skills in order to effectively communicate both with their project peers and with clients during a statistical investigation.
- They should possess the skills to orally present findings to a wide audience.
- They should possess the ability to document the results of a statistical project in both technical and non-technical terms.
- Post Graduation Success and Feedback
- Students should be equipped with the knowledge, skill, and understanding to achieve their full potential in (i) graduate school, (ii) career paths as statisticians.