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The Applied Statistics & Analytics emphasis includes a greater number of analysis and data management courses and fewer of the mathematics courses required for graduate study in statistics. The Statistical Science emphasis is designed to better prepare students for graduate studies in statistics.

The new Data Science emphasis teaches students to solve problems in the field of big data science. Students will take R, SAS, and Big Data Science courses and electives in Python programming, financial economics, survey sampling, SQL, and more.

Where BYU Statistics majors have begun their careers:

Vanguard, Vivint, Icon Health & Fitness, GM, Merkle, J.P.Morgan, Boyd Gaming, Health Catalyst, M, ImsHealth, jetBlue, USAA, Anglepoint, Discover Financial Services, Foursight, Northwestern Mutual, The Church of Jesus Christ of Latter-Day Saints.

The Masters in Statistics offers an integrated Bachelors & Masters program which takes about 5 years to complete.

Career Services
Melanie Steimle
Career Director, Physical & Mathematical Sciences
(801) 422-5944

Click here for List of Majors
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Statistics Clubs

BYU Data Science Club

We seek to connect members with data science companies and aid members in developing data science skills. We provide students with additional educational resources, including workshops, online courses, and professional tutoring. We engage our students in real-world data science projects with companies and organizations pioneering innovation in Utah and throughout the nation.

Relevant Clubs
Information Systems, Statistics

Mathematical Finance Club

MFC is a place where students with various technical backgrounds get a chance to learn about the quantitative side of finance such as financial engineering, algorithmic trading, modeling market risk, etc. So called "quants" of the financial industry play a bigger role nowadays than ever before with growing complexity of the markets structure and diversity. During meetings, students get exposed to mathematical models commonly used in finance theory, learn essential coding, and participate in various projects. Opportunities also include networking with hedge funds, banks' engineering divisions, and fin-tech firms.

Relevant Programs:
Mathematics, Statistics

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