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STATS

Statistics

97 courses on record 42 with sections in Fall 2026
97 courses

Grades awarded Fall 2021 to Fall 2025, every instructor,

A course with no letter grades has no average to report, which is not the same as a course that grades badly.

Lower division 7

Lower division courses in Statistics
Course Title Predicted GPA Fall 2026
10 Introduction to Statistical Reasoning GE 3.43 9,438 grades 25 sections
12 Introduction to Statistical Methods for Geography and Environmental Studies GE 3.52 336 grades Not offered
13 Introduction to Statistical Methods for Life and Health Sciences GE 3.50 6,844 grades 25 sections
15 Introduction to Data Science GE 3.65 352 grades 3 sections
19 Fiat Lux Freshman Seminars Not offered
20 Introduction to Statistical Programming with R 3.58 2,991 grades 12 sections
21 Python and Other Technologies for Data Science 3.84 650 grades 3 sections

Upper division 31

Upper division courses in Statistics
Course Title Predicted GPA Fall 2026
100A Introduction to Probability 3.55 2,470 grades 13 sections
100B Introduction to Mathematical Statistics 3.28 1,385 grades 3 sections
100C Linear Models 3.48 1,248 grades 4 sections
101A Introduction to Data Analysis and Regression 3.66 1,617 grades Not offered
101B Introduction to Design and Analysis of Experiment 3.56 1,339 grades Not offered
101C Introduction to Statistical Models and Data Mining 3.74 1,500 grades 16 sections
102A Introduction to Computational Statistics with R 3.34 1,544 grades Not offered
102B Introduction to Computation and Optimization for Statistics 3.55 1,400 grades Not offered
102C Introduction to Monte Carlo Methods 3.36 1,303 grades 12 sections
112 Statistics: Window to Understanding Diversity 3.83 187 grades Not offered
115 Probabilistic Decision Making 3.85 106 grades Not offered
C116 Applied Bayesian Social Statistics 3.92 71 grades 1 section
133 Introduction to Text Mining Using R 3.75 69 grades Not offered
140XP Collaboration in Data Science 3.59 1 grades · 3 sections
141XP Practice of Statistical Consulting 3.92 908 grades Not offered
143 Introduction to Research in Statistics 3.64 33 grades Not offered
147 Data Technologies for Data Scientists 3.97 216 grades Not offered
M148 Experience of Data Science 3.92 76 grades Not offered
153 Hierarchical Linear Modeling no grade history 1 section
C155 Applied Sampling 3.45 43 grades Not offered
C161 Introduction to Machine Learning and Artificial Intelligence 3.85 121 grades 1 section
C163 Generative Data Science 3.67 7 grades · Not offered
167 Introduction to Databases 3.93 79 grades Not offered
M169 Causality X 3.51 17 grades · Not offered
170 Introduction to Time-Series Analysis 3.50 29 grades Not offered
C173 Applied Geostatistics 3.61 97 grades Not offered
C180 Introduction to Bayesian Statistics 3.67 27 grades Not offered
C183 Statistical Models in Finance 3.61 182 grades 1 section
184 Societal Impacts of Data 3.95 241 grades Not offered
186 Careers in Statistics Not offered
199 Directed Research in Statistics 3.76 10 grades · Not offered

Graduate 59

Graduate courses in Statistics
Course Title Predicted GPA Fall 2026
200A Applied Probability 3.63 158 grades 2 sections
200B Theoretical Statistics 3.73 100 grades Not offered
200C High Dimensional Statistics 3.78 54 grades Not offered
201A Research Design, Sampling, and Analysis 3.71 131 grades 2 sections
201B Statistical Modeling and Learning 3.94 118 grades Not offered
201C Advanced Modeling and Inference 3.68 82 grades Not offered
202A Statistics Programming 3.91 180 grades 2 sections
202B Matrix Algebra and Optimization 3.78 101 grades Not offered
202C Monte Carlo Methods for Optimization 3.79 88 grades Not offered
203 Large Sample Theory, Including Resampling 3.86 48 grades Not offered
205 Hierarchical Linear Models 3.86 38 grades Not offered
210 Computer Intensive Methods 3.77 19 grades · Not offered
211 Topics in Economics and Machine Learning 3.90 42 grades 1 section
212 Graphical Models 3.74 36 grades Not offered
C216 Applied Bayesian Social Statistics 3.83 21 grades 1 section
218 Statistical Analysis of Networks 3.91 47 grades Not offered
219 Topics in Reinforcement Learning 3.77 14 grades · 1 section
221 Time-Series Analysis 3.84 32 grades Not offered
M222 Spatial Statistics 3.77 14 grades · Not offered
M231A Pattern Recognition and Machine Learning 3.95 142 grades Not offered
231B Methods of Machine Learning 3.89 56 grades Not offered
232C Cognitive Artificial Intelligence 3.88 31 grades Not offered
C236 Introduction to Bayesian Statistics 3.82 19 grades · Not offered
240 Multivariate Analysis 3.81 16 grades · Not offered
M243 Logic, Causation, and Probability 3.69 12 grades · 1 section
M254 Statistical Methods in Computational Biology 3.91 95 grades Not offered
256 Causality 3.93 79 grades Not offered
C261 Introduction to Machine Learning and Artificial Intelligence 3.69 27 grades 1 section
C263 Generative Data Science 3.74 17 grades · Not offered
C283 Statistical Models in Finance no grade history 1 section
285 Seminar: Computing for Statistics Not offered
290 Current Literature in Statistics 1 section
291XP Service Learning for Graduate Statistical Consulting no grade history 1 section
296 Participating Seminar: Statistics 16 sections
400 Introduction to Probability Modeling 3.91 212 grades 2 sections
401 Survey of Methods in Modern Statistics 3.90 148 grades 2 sections
402 Applied Regression 3.92 212 grades Not offered
403 Mathematical Statistics 3.77 139 grades Not offered
404 Statistical Computing and Programming 3.95 153 grades Not offered
405 Data Management 3.94 166 grades Not offered
411 Multivariate Statistical Analysis 3.90 79 grades Not offered
412 Advanced Regression and Predictive Modeling 3.64 78 grades 2 sections
413 Machine Learning 3.94 161 grades Not offered
414 From Predictive Artificial Intelligence to Generative Artificial Intelligence 3.74 41 grades 2 sections
416 Applied Geostatistics 3.67 15 grades · Not offered
417 Models in Finance 3.79 53 grades Not offered
419 Experimental Design 3.64 58 grades 2 sections
420 Causal Inference 3.85 24 grades 2 sections
421 Advanced Statistical Communication 3.91 120 grades Not offered
422 Data Visualization 3.92 59 grades Not offered
425 Large Language Models in Text Mining 3.77 56 grades 2 sections
426 Deep Learning no grade history 2 sections
495A Teaching College Statistics 1 section
496 Statistics Internship no grade history 4 sections
497 Directed Individual Study or Research no grade history 4 sections
498 MAS Thesis Research no grade history 7 sections
596 Directed Individual Study or Research 3.96 116 grades 20 sections
598 MS Thesis Research no grade history 20 sections
599 PhD Dissertation Research 19 sections