Students can concentrate their studies in statistics by choosing the Statistics Specialization of the Mathematics major. This page lists the program documents and other information about the specialization. For more information, please contact your advisor, Dr. Michael Ochs (the Statistics coordinator), or the department chair.
Program Documents for the Statistics Specialization:
- Program Planner:
- The four-year Planner gives a suggested schedule plan for taking the courses in your major:
- Science requirements:
- Graduation and Retention Requirements:
- Must earn a grade of C- or higher in all courses for the major. A grade of C- must be earned in any course that is a prerequisite for another math/stat course before that course can be taken. A grade of D or D+ may be earned in one 300/400 course that is not a prerequisite for a subsequent course.
- Must also earn a 2.5 GPA in the foundational courses (MAT 127, 128, 200, 205, 229, STA 215) that are taken at TCNJ.
- Must make progress in the major by earning a C- or higher in at least one major course every two semesters.
- Students who fail to meet these requirements will have one year to meet them or face possible dismissal from the major.
The Undergraduate Bulletin is the official list of major requirements. The Undergraduate Bulletin is the official list of major requirements. However, by following the list of requirements listed on the program planner above, and meeting the retention and graduation grade requirements, students will meet all their requirements. A total of at least 32 course units are required for graduation.
Statistics Specialization Learning Goals
- 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.