# Statistics Core Major

Our core major builds a strong foundation in methods, theory, computation, and practice. We emphasize modern methods, strong communication skills, and hands-on experience analyzing real data. This curriculum gives a full-spectrum experience and is an ideal choice for any student interested in statistical thinking and data science and is tremendous preparation for a career that requires data skills.

# Major Requirements

Course Topic/Title Course Number Units Prerequisites Theory Requirements Calculus 21-111 and 112, or 21-120 20 or 10 Multivariate Calc/Analysis 21-256, 21-259, or 21-268 9–10 21-112 or 21-120 Linear/Matrix Algebra 21-240, 21-241, or 21-242 10 Probability 36-217, 21-325, 15-359, or 36-225 9 21-112, 21-122, 21-123, 21-256, or 21-259 Statistical Inference 36-226 or 36-326 9 C or higher in 36-217, 36-225, 21-325, or 15-359 Data-Analysis Requirements Beginning Data Analysis 36-201, 36-220, or 36-274 9 Intermediate Data Analysis 36-202, 36-208, or 36-309 9 various Advanced Elective 36-315, 36-303, or 36-46x 9 36-202, 36-208, or 36-309 Special Topics 36-46x 9 various General Elective various 9 various Modern Regression 36-401 9 C or higher in 36-226, 36-326, or 36-625 and pass 21-240 or 21-241 Advanced Methods for Data Analysis 36-402 9 C or higher in 36-401 Concentration Area(Four coherent, complementary courses) various 36 Advisor approval Computing Requirements Statistical Computing 36-350 or 36-650/750 9 36-202, 36-208, 36-309, 70-208, or equivalent