Statistics B.S.
A Bachelor of Science degree with a major in Statistics requires the completion of the Elon Core Curriculum as well as the Major Requirements listed below.
Major Requirements
Statistical foundations: 12 sh
Study design and analysis: 4 sh
Select one study design and analysis course from the following:
| STS 2130 | SURVEY SAMPLING METHODS | 4 sh |
| STS 3250 | DESIGN AND ANALYSIS OF EXPERIMENTS | 4 sh |
Statistical computing: 4 sh
Select one statistical computing course from the following
| STS 3270 | Statistical Computing for Data Management | 4 sh |
| STS 3300 | STATISTICAL METHODS FOR DATA ANALYTICS | 4 sh |
Statistical theory: 4 sh
Select one statistical theory course from the following
Note: students in the Actuarial Science concentration are required to take STS 3410.
Statistics electives: 4 sh
Select at least one course from the following:
| STS 2130 | SURVEY SAMPLING METHODS | 4 sh |
| STS 2560 | APPLIED NONPARAMETRIC STATISTICS | 4 sh |
| STS 3250 | DESIGN AND ANALYSIS OF EXPERIMENTS | 4 sh |
| STS 3270 | Statistical Computing for Data Management | 4 sh |
| STS 3300 | STATISTICAL METHODS FOR DATA ANALYTICS | 4 sh |
| STS 3410/MTH 3410 | PROBABILITY THEORY AND STATISTICS | 4 sh |
| STS 3470 | STATISTICAL COMPUTING FOR SIMULATION AND THEORY | 4 sh |
The same course cannot count both as a study design and analysis, statistical computing, or statistical theory requirement and as an elective.
Mathematical foundations: 8 sh
Capstone: 4 sh
A related experiential/capstone experience approved by the department (4 sh). Approved options include:
| STS 4980 | STATISTICS PRACTICUM | 4 sh |
| STS 4985 | INTERNSHIP IN STATISTICS | 2-4 sh |
| STS 4999 | INDEPENDENT RESEARCH IN STATISTICS | 2-4 sh |
Total Credit Hours: 40
Concentrations
Select one of the following concentrations:
Mathematical statistics: 16 sh
Required courses: 12 sh
Select one course from the following that was not already taken as part of the major requirements: 4 sh
Actuarial Science: 20 sh
Required course: 16 sh
Select one course from the following: 4 sh
For the Actuarial Science concentration, STS 3470 cannot count both as an elective under Major Requirements and as an elective course for the concentration.
Biostatistics: 16 sh
Required course: 4 sh
| PHS 3010 | INTRODUCTION TO EPIDEMIOLOGY | 4 sh |
The PHS 2010 and PHS 2020 prerequisites for PHS 3010 will be waived for declared statistics majors pursuing the Bachelor of Science degree with the permission of the Public Health Studies Coordinator.
Select three courses from Track A or three courses from Track B: 12 sh
If a 3 sh course has an accompanying 1 sh lab, this lab course must be taken with the course.
Track A
Track B
Data Analytics: 16 sh
Required courses: 8 sh
Select one course from the following which was not already taken as part of the major requirements: 4 sh
| STS 3270 | Statistical Computing for Data Management | 4 sh |
| STS 3300 | STATISTICAL METHODS FOR DATA ANALYTICS | 4 sh |
For the Data Analytics concentration, neither of the two computing courses can count as the required core elective course.
Select one course from the following: 4 sh
| MTH 2300 | MATHEMATICAL METHODS FOR DATA ANALYTICS | 4 sh |
| CSC 2300 | Computer Science II | 4 sh |
| MEA 3290 | APPLIED MEDIA ANALYTICS | 4 sh |
| MGT 4250 | DATA VISUALIZATION AND STORYTELLING | 4 sh |
| MGT 4260 | DATA MINING FOR MANAGERIAL DECISION MAKING | 4 sh |
All graduating statistics majors are required to satisfactorily complete a senior comprehensive evaluation. This evaluation is not an exam, but it will require students to reflect upon related experiential accomplishments undertaken while completing the major. It is recommended that majors save work from their statistics courses to complete these reflections.
Program Outcomes
Student Learning Goals and Outcomes
Statistics promotes quantitative critical thinking skills that should serve the student in the rest of their course of studies at Elon and in their professional and educational careers after graduation. The statistics major at Elon will continue to draw strengths from other areas of the core. Specific outcomes that should prove valuable include the student’s ability to:
1. Explain the theoretical basis of commonly used statistical methods.
2. Design sample surveys and/or experiments for standard situations.
3. (a) Correctly analyze data from standard designed experiments, sample surveys, or observational studies.
(b) Correctly interpret the results from standard designed experiments, sample surveys, or observational studies.
4. Demonstrate sufficient statistical computing ability to manage data and implement standard statistical methods using at least one standard statistical package.
5. Illustrate the importance of statistics and the role it plays in making informed decisions in at least one discipline beyond Statistics.
6. Explain statistical ideas, methods, and results in writing, visually, and orally to non-statistical audiences.
These skills reflect the statistical expertise that students need to be effective statisticians and also include important skills that relate to the ability to function in the different types of jobs our students may seek.
Total Credit Hours: 56-60