Program: Biostatistics Minor - CSU East Bay

Mar 31, 2025

2023-2024 Cal State East Bay Catalog

The Biostatistics minor is designed to complement majors in other disciplines to allow students exposure to applied statistical methods, focusing on those used in the field of biostatistics. These methods enable students to conduct research in applied fields, broaden employment possibilities, and appeal to graduate schools seeking students with a quantitative background.

Minor Requirements (15 units)

The minor in biostatistics is designed to provide a general background in statistics for students majoring in other areas. It is of particular value to students majoring in such disciplines as biology and health sciences. The minor in biostatistics will broaden students’ understanding of statistics with applications to biological sciences and will expand employment opportunities. The minor consists of 15 units.

Required Courses

Note: Some courses have prerequisites not listed in the minor.

Choose one (1) of the following pair of courses for 6 units:
STAT 303 - Statistical Methods in Biology Units: 3
OR
STAT 330 - Statistical Inference Units: 3
And STAT 331 - Introduction to Analysis of Variance Units: 3
OR STAT 495 - Data Analysis with SAS Units: 3
Plus, take the following required course for 3 units:
STAT 432 - Introduction to Linear Regression and Logistic Regression Units: 3

Elective Course

Choose one (1) course for 3 units from the following:

STAT 351 - Sampling Procedures for Surveys Units: 3
STAT 451 - Introduction to Data Visualization Units: 3
STAT 473 - Introduction to Nonparametric Statistics Units: 3

Department Courses Listed by Course Type

Statistics and Biostatistics Courses

Department of Statistics and Biostatistics

Go to information for this department.

Courses

Biostatistics: Graduate

• BSTA 661 - Categorical Data Analysis Units: 2
• BSTA 662 - Survival Analysis Units: 2
• BSTA 663 - Clinical Trials in the Pharmaceutical and Biomedical Industries Units: 2
• BSTA 665 - Survival Data Analysis using SAS Units: 4
• BSTA 668 - Longitudinal Data Analysis Units: 2
• BSTA 697 - Issues in Biostatistics Units: 1-3

Statistics

• STAT 100 - Elements of Statistics and Probability Units: 3 ; Breadth Area: GE-B4
• STAT 100A - Statistics Principles Units: 1
• STAT 101 - Statistics in Everyday Life Units: 3 ; Breadth Area: GE-B4
• STAT 101A - Everyday Statistics Principles Units: 1
• STAT 110 - Elements of Statistics for Business and Economics Units: 3
• STAT 206 - Public Health Informatics and Technology Units: 3
• STAT 215 - Introduction to Data Science Units: 3
• STAT 303 - Statistical Methods in Biology Units: 3
• STAT 303A - Biostatistics for Health Science Units: 3
• STAT 306 - Public Health Informatics: The Role of Data Units: 3
• STAT 310 - Statistical Methods in the Social Sciences Units: 3
• STAT 316 - Statistics and Probability for Science and Engineering Units: 3
• STAT 320 - Introduction to Probability Theory I Units: 3
• STAT 321 - Probability Through Simulation Units: 3
• STAT 330 - Statistical Inference Units: 3
• STAT 331 - Introduction to Analysis of Variance Units: 3
• STAT 351 - Sampling Procedures for Surveys Units: 3
• STAT 398 - Internship Units: 1-3
• STAT 432 - Introduction to Linear Regression and Logistic Regression Units: 3
• STAT 450 - Introduction to R for Data Science Units: 3
• STAT 451 - Introduction to Data Visualization Units: 3
• STAT 452 - Introduction to Statistical Learning Units: 3
• STAT 460 - Advanced Statistical Package Usage Units: 3
• STAT 473 - Introduction to Nonparametric Statistics Units: 3
• STAT 474 - Introduction to Time Series and Forecasting Units: 3
• STAT 475 - Introduction to Stochastic Processes Units: 3
• STAT 481 - Bayesian Statistics Units: 3
• STAT 490 - Independent Study Units: 1-4
• STAT 495 - Data Analysis with SAS Units: 3
• STAT 497 - Issues in Statistics Units: 3
• STAT 498 - Internship Units: 1-3

Statistics: Graduate

• STAT 620 - Probability and Statistical Theory Units: 4
• STAT 630 - Statistical Methods Units: 4
• STAT 631 - Analysis of Variance Models Units: 4
• STAT 632 - Linear and Logistic Regression Units: 4
• STAT 640 - Advanced Statistical Theory Units: 4
• STAT 641 - Bootstrapping Methods Units: 2
• STAT 650 - Advanced R for Data Science Units: 2
• STAT 651 - Data Visualization Units: 2
• STAT 652 - Statistical Learning Units: 2
• STAT 653 - Statistical Natural Language Processing Units: 2
• STAT 654 - Introduction to Applied Deep Learning Units: 2
• STAT 660 - Advanced SAS I Units: 2
• STAT 661 - Categorical Data Analysis Units: 2
• STAT 671 - Advanced JMP Units: 2
• STAT 672 - Advanced Multivariate Statistics Units: 2
• STAT 673 - Nonparametric Statistical Methods Units: 2
• STAT 674 - Time Series Units: 2
• STAT 675 - Advanced Stochastic Processes and Simulation Units: 2
• STAT 676 - Advanced Probability Units: 4
• STAT 681 - Bayesian Statistics Units: 2
• STAT 690 - Independent Study Units: 1-4
• STAT 692 - Comprehensive Exam Review Units: 2
• STAT 694 - Applied Research in Statistics and Biostatistics Units: 1-4
• STAT 697 - Issues in Statistics Units: 2-4
• STAT 698 - Internship Units: 1-3