Learn to Draw Conclusions from Data
Students gain a breadth of experience in statistical concepts, including probability, regression, data visualization, and 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 Applied 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 and 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 analysts uses statistical modeling and programming skills 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 analysist has the ability to apply their statistical skills to researching, understanding, and communicating problems, information, and potential solutions.
Getting Started in this degree
If you are interested in Applied 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 learn to apply mathematical and statistical principles to understand and draw conclusions from real-world data. This emphasis provides a strong foundation for solving problems in business, industry, and government or continuing to graduate school in statistics.
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.
Students will gain an understanding of different mathematical concepts while learning educational theories and methods they will apply to teach mathematics in the classroom. They will also have the opportunity to gain an education minor in another subject.
The computational emphasis is designed to combine an excellent understanding of the principles of physics with a proficiency in computer programming. This is a very natural mixing of disciplines that produces individuals that are well prepared to solve hard problems in many fields and industries.