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Doctoral

Statistics MS, CPhil, PhD

University of California, Los Angeles College of Letters and Science 94 courses

About This Program

Statistics MS, CPhil, PhD is a Doctoral program offered by College of Letters and Science at University of California, Los Angeles across 94 courses.

Degree Requirements

Statistics and Data Science Graduate Courses

Graduate courses UCLA's General Catalog lists for this department. This is not a degree plan; requirements are set by the program.

Code Course Title Credits
STATS 200A Applied Probability 4
STATS 200B Theoretical Statistics 4
STATS 200C High Dimensional Statistics 4
STATS 201A Research Design, Sampling, and Analysis 4
STATS 201B Statistical Modeling and Learning 4
STATS 201C Advanced Modeling and Inference 4
STATS 202A Statistics Programming 4
STATS 202B Matrix Algebra and Optimization 4
STATS 202C Monte Carlo Methods for Optimization 4
STATS 203 Large Sample Theory, Including Resampling 4
STATS 205 Hierarchical Linear Models 4
STATS 206 Modern Survey Methods 4
STATS 207 Statistical Learning with Sparsity 4
STATS 208 Statistical Learning Theory 4
STATS 210 Computer Intensive Methods 4
STATS 211 Topics in Economics and Machine Learning 4
STATS 212 Graphical Models 4
STATS 213 Synthetic Data Generation 4
STATS 218 Statistical Analysis of Networks 4
STATS 219 Topics in Reinforcement Learning 4
STATS 221 Time-Series Analysis 4
STATS 231B Methods of Machine Learning 4
STATS 231C Theories of Machine Learning 4
STATS 238 Vision as Bayesian Inference 4
STATS 240 Multivariate Analysis 4
STATS 246 Statistical Model Selection 4
STATS 256 Causality 4
STATS 271 Probabilistic Models of Visual Cortex 4
STATS 285 Seminar: Research Topics in Statistics 2 to 4
STATS 287 Seminar: Gene Expression and Systems Biology 2
STATS 290 Current Literature in Statistics 2
STATS 291XP Service Learning for Graduate Statistical Consulting 4
STATS 292 Graduate Student Statistical Packages Seminar 1 to 2
STATS 294 Scientific Writing 2
STATS 296 Participating Seminar: Statistics 1 to 2
STATS 297SL Service Learning and Community Learning for Statistics 2 to 4
STATS 400 Introduction to Probability Modeling 4
STATS 401 Survey of Methods in Modern Statistics 4
STATS 402 Applied Regression 4
STATS 403 Mathematical Statistics 4
STATS 404 Statistical Computing and Programming 4
STATS 405 Data Management 4
STATS 411 Multivariate Statistical Analysis 4
STATS 412 Advanced Regression and Predictive Modeling 4
STATS 413 Machine Learning and Artificial Intelligence 4
STATS 414 From Predictive Artificial Intelligence to Generative Artificial Intelligence 4
STATS 415 Introduction to Forecasting 4
STATS 416 Applied Geostatistics 4
STATS 417 Models in Finance 4
STATS 418 Tools in Data Science 4
STATS 419 Experimental Design 4
STATS 420 Causal Inference in Social Science Practice 4
STATS 421 Advanced Statistical Communication 4
STATS 422 Data Visualization 4
STATS 423 Longitudinal Data Analysis 4
STATS 424 Teamwork and Leadership in Data Science 4
STATS 425 Large Language Models in Text Mining 4
STATS 426 Deep Learning 4
STATS 427 Applied Bayesian Statistics 4
STATS 428 Applied SQL for Data Science 4
STATS 429 Statistical Consulting in Data Science 4
STATS 495A Teaching College Statistics 2
STATS 495B Teaching College Statistics 2
STATS 496 Statistics Internship 2 to 4
STATS 497 Directed Individual Study or Research 2 to 8
STATS 498 MAS Thesis Research 2 to 8
STATS 596 Directed Individual Study or Research 2 to 8
STATS 598 MS Thesis Research 2 to 12
STATS 599 PhD Dissertation Research 2 to 12
STATS C216 Social Statistics 4
STATS C225 Experimental Design 4
STATS C236 Introduction to Bayesian Statistics 4
STATS C245 History and Theory of Statistics 4
STATS C260 Causal Inference for Health Data 4
STATS C261 Introduction to Pattern Recognition and Machine Learning 4
STATS C263 Generative Data Science 4
STATS C267 Introduction to Databases 4
STATS C273 Applied Geostatistics 4
STATS C283 Statistical Models in Finance 4
STATS CM248 Applied Sampling 4
STATS M222 Spatial Statistics 4
STATS M230 Statistical Computing 4
STATS M231A Pattern Recognition and Machine Learning 4
STATS M232A Statistical Modeling and Learning in Vision and Cognition 4
STATS M232B Statistical Computing and Inference in Vision and Cognition 4
STATS M232C Cognitive Artificial Intelligence 4
STATS M235 Modern Environmental Statistics 4
STATS M241 Current Topics in Causal Modeling, Inference, and Reasoning 4
STATS M242 Multivariate Analysis with Latent Variables 4
STATS M243 Logic, Causation, and Probability 4
STATS M244 Statistical Analysis with Latent Variables 4
STATS M250 Statistical Methods for Epidemiology 4
STATS M254 Statistical Methods in Computational Biology 4
STATS M286 Seminar: Statistical Problem Solving for Population Biology 2

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Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.

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