Learn to Draw Conclusions from Data
Students gain a wide breadth of experience to ensure they succeed in their future careers. Under the guidance of expert faculty, they learn:
- Probability
- Regression
- Data visualization
- Experimental design
"I loved learning through mutual discovery and conversations with other students who shared not only my interest in mathematics and statistics, but also God."
CARLA B.,
BYU-I GRADUATE
Highlighted Career Paths
Graduates with a degree in Statistics have a wide array of rewarding careers before them. Check out some of the top careers students get with this degree or explore more career options in I-Plan.
Actuary
An actuary analyzes data to evaluate financial risks. They communicate with insurance, finance and other industries to discuss the potential risks they face. Actuaries use mathematics, statistics, and financial theory to study and better analyze potential events.
Operations Research Analyst
An operations research analyst uses statistical modeling and programming to analyze operations and develop improved systems. They use mathematical modeling, statistical analysis, and mathematical optimization to help businesses make cost-effective decisions.
Statistical Analyst
A statistical analyst applies their statistical skills to researching, understanding, and communicating problems, information, and potential solutions.
Getting Started in this Degree
If you are interested in Statistics, start with one of the following major-specific courses.
Related Majors
This degree will help lead students equipped with relevant skills to careers like data science, data analysis, and business analysis.
Students will gain an understanding of applied statistics, core programming languages, and the collaborative communication skills to help prepare them for careers in data science.
Students will build a mathematical foundation to prepare them to study mathematics in graduate school or work in business, industry, or government.
Mathematics is the language physicists use to describe physical laws and to make predictions based on those laws. Mathematics is very extensively used in every area of physics. If you do not know which emphasis area best meets your goals, the mathematical emphasis is a good default.
You’ll learn important math concepts like calculus, geometry, and algebra. You’ll also study teaching methods and educational theories to prepare for the classroom.
The computational emphasis combines an excellent the principles of physics with computer programming. This natural mixing of disciplines produces individuals who are well prepared to solve hard problems in many fields and industries.