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

Theory Requirements
Course Topic/Title Course Number Units Prerequisites
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
Course Topic/Title Course Number Units Prerequisites
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
Course Topic/Title Course Number Units Prerequisites
Statistical Computing 36-350 or 36-650/750  9 36-202, 36-208, 36-309, 70-208, or equivalent