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 24-25 units, plus 4-5 units of prerequisites. At least 4 units must be at the graduate level.

Prerequisites:

STAT 2010 - Elements of Statistics for Business and Economics Units: 5
STAT 3010 - Statistical Methods in the Social Sciences Units: 4
STAT 3031 - Statistical Methods in Biology Units: 4
STAT 3502 - Statistical Inference I Units: 4
STAT 3601 - Statistics and Probability for Science and Engineering I Units: 4

A. Core Courses (12-13 units)

Applied Statistical Methodology (8-9 units)

Choose one of the following five pairs of courses:

STAT 2010 - Elements of Statistics for Business and Economics Units: 5
and
STAT 4000 - Analysis of Variance in the Behavioral Sciences Units: 4
STAT 3010 - Statistical Methods in the Social Sciences Units: 4
and
STAT 4000 Analysis of Variance in the Behavioral Sciences Units: 4
or
STAT 6010 - Applied Analysis of Variance Units: 4
STAT 3031 - Statistical Methods in Biology Units: 4
and
STAT 4000 Analysis of Variance in the Behavioral Sciences Units: 4
or
STAT 6010 Applied Analysis of Variance Units: 4
STAT 3502 - Statistical Inference I Units: 4
and
STAT 3503 - Statistical Inference II Units: 4
STAT 3601 - Statistics and Probability for Science and Engineering I Units: 4
or
STAT 5601 - Introductory Statistics and Probability for Science and Engineering Units: 4
or cross-listed: ENGR 5601 Introductory Statistics and Probability for Science and Engineering Units: 4
and
STAT 3602 - Statistics and Probability for Science and Engineering II Units: 4
or cross-listed: ENGR 3602 Statistics and Probability for Science and Engineerring II Units: 4

Data Analysis Using Statistical Packages (4 units)

STAT 3900 - Data Analysis Using Statistical Packages Units: 4
or
STAT 4950 - Advanced Statistical Packages for Data Analysis Units: 4
A person skilled in statistical programming may provide evidence of such proficiency and substitute a course for one of these, with the approval of an advisor.

B. Electives (12 units)

Choose from the following courses not taken above:

ENGR 5300 - Quality Engineering Units: 4
or
STAT 5300 - Quality Engineering Units: 4
ENGR 6300 - Applied Quality Assurance Units: 4
or
STAT 6300 - Applied Quality Assurance Units: 4
STAT 3050 - Statistics: from Data to Decisions Units: 4
STAT 3510 - Sampling Procedures for Surveys Units: 4
STAT 3910 - Statistical Software Usage Units: 4
STAT 4515 - Applied Multivariate Analysis Units: 4
STAT 4601 - Regression Units: 4
STAT 4603 - Operations Research II Units: 4
STAT 4610 - Introduction to Nonparametric Statistical Methods Units: 4
STAT 4860 - Undergraduate Seminar Units: 4 - STAT 4869
STAT 6010 - Applied Analysis of Variance Units: 4
STAT 6011 - Statistical Modeling for Management and Economics Units: 4
STAT 6020 - Statistical Methods in Clinical Trials Units: 4