Brigham Young University
Statistics (BS): Applied Statistics & Analytics Emphasis

Provo, USA

DEGREE TYPE

BSc

DURATION

LANGUAGES

English

PACE

Full time

APPLICATION DEADLINE

EARLIEST START DATE

Sep 2026

STUDY FORMAT

On-Campus

Key Summary

About : The Statistics (BS) with an emphasis on Applied Statistics & Analytics provides a solid foundation in statistical methods and data analysis techniques. The program focuses on practical applications in various fields, preparing students to tackle real-world challenges using statistical reasoning. You'll study a mix of theoretical concepts and their application in data-driven environments, equipping you with the necessary skills for a data-centric career.

Career Outcomes : Graduates can pursue roles such as data analyst, statistical consultant, or business intelligence analyst. Other potential pathways include positions in government agencies, healthcare organizations, or private sector companies, where statistical analysis plays a crucial role in decision-making processes.

The BS in Statistics with an Applied Statistics & Analytics Emphasis offers students a solid foundation in statistical methods, data analysis, and decision-making skills. The program covers core areas like probability, regression, and statistical theory, helping students develop the ability to interpret data effectively. It also emphasizes practical skills such as using statistical software and understanding how to solve real-world problems through data. The curriculum is designed to prepare students for careers in various fields like business, healthcare, or government, where data-driven decisions are crucial.

Students will also find opportunities to deepen their understanding of analytics techniques, including predictive modeling and data visualization. The program encourages hands-on experience through projects and internships, fostering skills that are directly applicable in the workplace. In addition, students gain knowledge of ethical considerations and the importance of accurate data interpretation. This balanced approach ensures students are equipped to handle complex data issues and communicate insights clearly. Overall, the program aims to build not only technical expertise but also critical thinking abilities necessary for success in the growing field of data analysis.

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