Applied Statistics Certificate

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The Certificate in Applied Statistics combines basic work in statistics, which is required for many majors and graduate degree programs, with additional coursework in applied statistics. The coursework is designed to broaden the abilities of scientists and social scientists who already have degrees, but who need more training in applying statistics to their research and employment activities.

The minimum required GPA for the awarding of the certificate is 2.0. Consult an advisor in the Department of Statistics and Biostatistics for clarification and interpretation of requirements.

The certificate consists of 15 units, not including prerequisites. At least 4 units must be at the graduate level.

Applied Statistical Methodology

A total of 6-8 units are required from the following Methodology groups:

Choose one (1) of the following courses for 3-4 units:
STAT 303 - Statistical Methods in Biology Units: 3
STAT 310 - Statistical Methods in the Social Sciences Units: 3
STAT 316 - Statistics and Probability for Science and Engineering Units: 3
STAT 330 - Statistical Inference Units: 3
STAT 630 - Statistical Methods Units: 4
Choose one (1) of the following second-level courses for 3-4 units (note that STAT 631 has STAT 630 as a prerequisite):
STAT 331 - Introduction to Analysis of Variance Units: 3
STAT 401 - Analysis of Variance for Psychology Units: 3 ; G.E./G.R. Area: D4
STAT 631 - Analysis of Variance Models Units: 4

Data Analysis with Packages

Choose one (1) course from the following for 2-3 units:
STAT 450 - Introduction to R for Data Science Units: 3
STAT 451 - Introduction to Data Visualization Units: 3
STAT 495 - Data Analysis with SAS Units: 3
STAT 650 - Advanced R for Data Science Units: 2
STAT 651 - Data Visualization Units: 2
STAT 660 - Advanced SAS I Units: 2
STAT 671 - Advanced JMP Units: 2

Electives

Take 4-7 units from the list below to complete the minimum of 15 units for the certificate.

STAT 351 - Sampling Procedures for Surveys Units: 3
STAT 432 - Introduction to Linear Regression and Logistic Regression Units: 3
STAT 452 - Introduction to Statistical Learning Units: 3
STAT 473 - Introduction to Nonparametric Statistics Units: 3
STAT 632 - Linear and Logistic Regression Units: 4
STAT 652 - Statistical Learning Units: 2
STAT 653 - Statistical Natural Language Processing Units: 2
STAT 672 - Advanced Multivariate Statistics Units: 2
STAT 673 - Nonparametric Statistical Methods Units: 2
Or any of the statistical package courses not used above.