Department of Statistics and Biostatistics

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The Department Office is located on the 2nd Floor of the North Science (SC-N) building, Room 229.

Open 9:00 a.m. - 6:00 p.m., Monday - Thursday, and 9:00 a.m. - Noon on Fridays.

Dept. Phone: (510) 885-3435

Faculty

Professor Emerita

Lynn Eudey, Ph.D. University of California, Berkeley

Professors

Shenghua (Kelly) Fan, Ph.D. University of Minnesota

Joshua D. Kerr (Chair), Ph.D. University of California, Davis

Eric A. Suess, Ph.D. University of California, Davis

Mitchell R. Watnik, Ph.D. University of California, Davis

YanYan Zhou, Ph.D. University of Maryland

Associate Professor

Ayona Chatterjee, Ph.D. University of Edinburgh (United Kingdom)

Assistant Professors

Eric Fox, Ph.D. University of California, Los Angeles

Jiyoun Myung, Ph.D. University of Florida

Li Zou, Ph.D. State University of New York

Graduate Coordinator

• Lynn Eudey

Department Statement

There are many job opportunities locally for Statisticians in many diverse areas of application, such as Actuarial Science, Biostatistics, Bioinformatics, Data Analysis, Data Science, Medical Statistics, Pharmaceutical, Biotech, Finance, Banking, Government, Education, Consulting, and many others. Students are encouraged to consider the fields of Statistics and Biostatistics as a program of study, whether graduate or undergraduate. Many of the Department’s undergraduate students are double-majors. Computer Science, Math, and Psychology majors, in particular, have found double-majoring with Statistics to be valuable in getting a job or pursuing higher degrees.

About the Department

Use our university website link to learn more about what the Statistics and Biostatistics Department has to offer.

• Scholarships
• Actuarial Science
• Biostatistics (PSM)
• Statistics Organizations
• Resources
• And more…

Programs

• Statistics, B.S.
• Statistics, B.S.: Data Science Concentration

• Biostatistics Minor
• Data Science Minor
• Statistics Minor

• Biostatistics, M.S.
• Statistics, M.S.
• Statistics, M.S.: Actuarial Science Concentration
• Statistics, M.S.: Applied Statistics Concentration
• Statistics, M.S.: Data Science Concentration
• Statistics, M.S.: Mathematical Statistics Concentration

• Applied Statistics Certificate
• Mathematical Statistics Certificate

Courses

• BSTA 661 - Categorical Data Analysis
• BSTA 662 - Survival Analysis
• BSTA 663 - Clinical Trials in the Pharmaceutical and Biomedical Industries
• BSTA 665 - Survival Data Analysis using SAS
• BSTA 668 - Longitudinal Data Analysis
• BSTA 697 - Issues in Biostatistics

• STAT 100 - Elements of Statistics and Probability
• STAT 100A - Statistics Principles
• STAT 101 - Statistics in Everyday Life
• STAT 101A - Everyday Statistics Principles
• STAT 110 - Elements of Statistics for Business and Economics
• STAT 303 - Statistical Methods in Biology
• STAT 303A - Biostatistics for Health Science
• STAT 305 - Statistics: From Data to Decisions
• STAT 310 - Statistical Methods in the Social Sciences
• STAT 311 - Data Analysis using Statistical Packages
• STAT 315 - Exploring and Analyzing Data
• STAT 316 - Statistics and Probability for Science and Engineering
• STAT 320 - Introduction to Probability Theory I
• STAT 321 - Probability Through Simulation
• STAT 330 - Statistical Inference
• STAT 331 - Introduction to Analysis of Variance
• STAT 351 - Sampling Procedures for Surveys
• STAT 398 - Internship
• STAT 401 - Analysis of Variance for Psychology
• STAT 432 - Introduction to Linear Regression and Logistic Regression
• STAT 450 - Introduction to R for Data Science
• STAT 451 - Introduction to Data Visualization
• STAT 452 - Introduction to Statistical Learning
• STAT 460 - Advanced Statistical Package Usage
• STAT 473 - Introduction to Nonparametric Statistics
• STAT 474 - Introduction to Time Series and Forecasting
• STAT 475 - Introduction to Stochastic Processes
• STAT 481 - Bayesian Statistics
• STAT 490 - Independent Study
• STAT 495 - Data Analysis with SAS
• STAT 497 - Issues in Statistics
• STAT 498 - Internship

• STAT 620 - Probability and Statistical Theory
• STAT 630 - Statistical Methods
• STAT 631 - Analysis of Variance Models
• STAT 632 - Linear and Logistic Regression
• STAT 640 - Advanced Statistical Theory
• STAT 641 - Bootstrapping Methods
• STAT 650 - Advanced R for Data Science
• STAT 651 - Data Visualization
• STAT 652 - Statistical Learning
• STAT 653 - Statistical Natural Language Processing
• STAT 654 - Introduction to Applied Deep Learning
• STAT 660 - Advanced SAS I
• STAT 661 - Categorical Data Analysis
• STAT 671 - Advanced JMP
• STAT 672 - Advanced Multivariate Statistics
• STAT 673 - Nonparametric Statistical Methods
• STAT 674 - Time Series
• STAT 675 - Advanced Stochastic Processes and Simulation
• STAT 676 - Advanced Probability
• STAT 681 - Bayesian Statistics
• STAT 690 - Independent Study
• STAT 692 - Comprehensive Exam Review
• STAT 694 - Applied Research in Statistics and Biostatistics
• STAT 697 - Issues in Statistics
• STAT 698 - Internship

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