Data Science Minor

Introductory Core

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

• STAT 303 - Statistical Methods in Biology Units: 3
• STAT 310 - Statistical Methods in the Social Sciences Units: 3
• STAT 330 - Statistical Inference Units: 3

Interdisciplinary Electives

Choose two (2) courses for 6 units from the following:

• CS 100 - Programming for Everyone Units: 3
• CS 200 - Advanced Programming for Everyone Units: 3
• CS 211 - Discrete Structures Units: 3
• CS 350 - Website Development for Everyone Units: 3 ; G.E./G.R. Area: B6
• CS 370 - Databases for Social and Health Sciences Units: 3
• HSC 465 - Health Data and Information Management Units: 3
• MATH 210 - Linear Algebra with Differential Equations Units: 3
• MATH 211 - Discrete Structures Units: 3
• STAT 315 - Exploring and Analyzing Data Units: 3

Advanced Core

The following courses for 9 units are required as outlined below:

• 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

Department Courses Listed by Course Type

Statistics and Biostatistics Courses

Department of Statistics and Biostatistics

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: 3

Statistics

• •  STAT 100 - Elements of Statistics and Probability Units: 3 ; G.E./G.R. Area: B4
• •  STAT 100A - Statistics Principles Units: 1
• •  STAT 101 - Statistics in Everyday Life Units: 3 ; G.E./G.R. Area: B4
• •  STAT 101A - Everyday Statistics Principles Units: 1
• •  STAT 110 - Elements of Statistics for Business and Economics Units: 3
• •  STAT 303 - Statistical Methods in Biology Units: 3
• •  STAT 303A - Biostatistics for Health Science Units: 3
• •  STAT 305 - Statistics: From Data to Decisions Units: 3
• •  STAT 310 - Statistical Methods in the Social Sciences Units: 3
• •  STAT 311 - Data Analysis using Statistical Packages Units: 3
• •  STAT 315 - Exploring and Analyzing Data 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 401 - Analysis of Variance for Psychology Units: 3 ; G.E./G.R. Area: D4
• •  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