About this major
Statistics is the science of collecting, analyzing, and interpreting data to make informed decisions. Students learn mathematical techniques, data analysis, and statistical software to solve real-world problems across various industries.
Student Reviews Summary
Curriculum snapshot
Introduction to Probability
Covers the fundamental concepts of probability, including probability distributions and random variables.
Statistical Inference
Focuses on methods of estimation, hypothesis testing, and confidence intervals for data analysis.
Regression Analysis
Teaches linear regression models and their applications in predicting outcomes and understanding relationships between variables.
Statistical Computing
Introduces statistical software tools used for data analysis and simulation.
Design of Experiments
Explores experimental design techniques for efficient data collection and analysis.
Multivariate Analysis
Examines techniques for analyzing data with multiple variables to uncover patterns and relationships.
Career outcomes
- Data Analyst
- Statistician
- Biostatistician
- Actuarial Analyst
- Quantitative Analyst
Pros
- High demand for data skills
- Diverse career opportunities
- Strong earning potential
Considerations
- Requires strong mathematical skills
- May involve long hours of data analysis
- Constantly evolving field
Similar majors
Data Science
Focuses on extracting insights from large datasets using a combination of statistics, machine learning, and computer science.
Mathematics
Provides a broad foundation in mathematical theories and techniques, which are fundamental to statistical analysis.
Computer Science
Emphasizes programming and algorithms, essential for data processing and statistical computing tasks.
Economics
Utilizes statistical methods to analyze economic data and trends for policymaking and business strategy.
Actuarial Science
Applies statistical and mathematical methods to assess risk in insurance and finance industries.