## Statistics and Machine Learning Major

This joint major develops the critical ideas and skills underlying statistical machine learning — the creation and study of algorithms that enable systems to automatically learn and improve with experience. It is ideal for students interested in statistical computation, data science, or “Big Data” problems, including those planning to pursue a related Ph.D. or a job in the tech industry.

### Major Requirements

Course Topic/Title Course Number Units Prerequisites Theory Requirements Calculus 21-111 and 112, or 21-120 20 or 10 Integration and Approximation 21-122 10 21-112 or 21-120 Multivariate Calc/Analysis 21-256, 21-259, or 21-268 9–10 21-112 or 21-120 Concepts of Mathematics 21-127 10 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 (Option 1) Beginning Data Analysis 36-201 9 Intermediate Data Analysis 36-202, 36-208, or 36-309 9 various Advanced Elective 36-315, 36-303, or 36-46x 9 various Advanced Elective 36-315, 36-303, or 36-46x 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 Data-Analysis Requirements (Option 2) Advanced Elective 36-315, 36-303, 36-46x 9 various Advanced Elective 36-315, 36-303, or 36-46x 9 ” Advanced Elective 36-315, 36-303, or 36-46x 9 ” 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 Computing Requirements Statistical Computing 36-350 or 36-650/750 9 36-202, 36-208, 36-309, 70-208, or equivalent Fundamentals of Programming 15-112 12 Principles of Iterative Computation 15-122 10 C or higher in 15-112 Machine Learning 10-601/701 12 C or higher in (15-122 or 15-123) and (15-151 or 21-127) Algorithms and Advanced Data Structures 15-351 12 15-111, 15-123, 15-121, or 15-122 Large Data Sets 10-405/605 or AdvancedMachine Learning Elective(see advisor for approved list) 9 vary by elective