• Data-Driven Decision Making: In today’s data-centric world, statistics equips you with the skills to analyze and interpret data, enabling informed decisions in various fields.
  • Versatile Applications: Statistics is applicable across many domains, including healthcare, business, social sciences, and environmental studies, making it a versatile choice for diverse careers.
  • Job Market Demand: With the rise of big data, there is a growing demand for professionals skilled in statistics, leading to robust career opportunities and job security. The website reports the following: “Statistician jobs are projected to grow 33 percent between 2019 and 2029, according to Ìý»å²¹³Ù²¹.
  • Marketability: Having a solid foundation in statistics can significantly enhance your marketability for jobs or graduate school. Additionally, it can be beneficial for research and other coursework.
  • Compensation: A 2020  found that median base salaries for data scientists ranges from $95,500 to $165,000, depending on experience, and managers can make much more!
  • Two of LinkedIn’s  are Analytics and Problem Solving.  These are both skills which are taught in ÂÒÂ×ÊÓƵ’s Statistics program!
  • ranked Statistician, Data Scientist, and Actuary all in the top 12 Best Jobs of 2024.

What is required for a Statistics Minor?

You must take STS 2120 (Statistics in Applications) & 4 more courses from the following list.

STS 2130 Survey Sampling Methods
STS 2300 Introduction to Data Analysis
STS 2320 Statistical Modeling
STS 2560 Applied Nonparametric Statistics
STS 3250 Design and Analysis of Experiments
STS 3270 Statistical Computing for Data Management
STS 3300 Statistical Methods for Data Analytics
STS 3410 Probability and Statistics
STS 3470 Statistical Computing for Simulation and Theory
STS 4980 Statistics Practicum
One course in an allied field (below) can count towards the Statistics Minor!

List of allied courses:

ANT 2150 Qualitative Research Methods
ANT 2160 Quantitative Research Methods
CSC 1100 Data Science and Visualization
ECO 3300 Introduction to Econometrics
ENS 2000 Strategies for Environmental Inquiry
ESS 2140 Research Methods
MKT 4140 Marketing Research
PHS 3010 Introduction to Epidemiology
POL 2200 Research Methods in Political Science & Policy Studies
PSY 2970 Experimental Research Methods and Statistics
PSY 3970 Nonexperimental Research Methods and Statistics
PHS 3010 Introduction to Epidemiology
SOC 2150 Qualitative Research Methods
SOC 2160 Quantitative Research methods

Fall 2026 Course Offerings

STS 2120: STATISTICS IN APPLICATION

  • Gain experience describing data with graphs and statistics
  • Understand confidence intervals and hypothesis testing
  • Learn how to use SAS software
  • PREREQUISITE: STS 1100, MTH 1160, MTH 1510, placement exemption, or permission of the Statistics Program Coordinator

STS 2130: SURVEY SAMPLING METHODS

  • Understand different sampling methods
  • Learn how to effectively design various types of surveys
  • Gain experience analyzing survey data
  • PREREQUISITE: STS 2120

STS 2300: INTRODUCTION TO DATA ANALYTICS

  • Learn how to code in R using RStudio
  • Gain a deeper understanding of topics introduced in STS 2120
  • Learn how to generate reproducible and dynamic statistical reports
  • PREREQUISITE or COREQUISITE: STS 2120

STS 2320: STATISTICAL MODELING

  • Learn how to develop and compare statistical models
  • Utilize models to make predictions
  • Review simple linear regression and learn multiple linear regression and logistic regression
  • PREREQUISITE: STS 2120

STS 3250: DESIGN AND ANALYSIS OF EXPERMENTS

  • Learn experimental design methods such as Latin squares and randomized block designs
  • Understand the difference between fixed and random effects
  • Gain experience analyzing experimental data
  • PREREQUISITE: STS 2120

STS 3300: METHODS FOR DATA ANALYTICS

  • Learn about workflow, reproducibility, and database management
  • Gain experience handling missing data
  • Understand data ethics
  • PREREQUISITE: STS 2300

STS 3410: PROBABILITY THEORY AND STATISTICS

  • Learn about discrete and continuous random variables and their distributions
  • Study the theory behind sampling distributions, the central limit theorem, confidence intervals, and hypothesis testing
  • PREREQUISITE: MTH 2510

January 2027 Course Offerings

STS 3270: STATISTICAL COMPUTING FOR DATA MANAGEMENT

Spring 2027 Course Offerings

STS 2120: STATISTICS IN APPLICATION
STS 2130: SURVEY SAMPLING METHODS
STS 2300: INTRODUCTION TO DATA ANALYTICS
STS 2320: STATISTICAL MODELING
STS 2560: APPLIED NONPARAMETRIC STATISTICS
STS 3470: STATISTICAL COMPUTING FOR SIMULATION AND THEORY

 

For more information, please contact Dr. Doehler (kdoehler@elon.edu).