Certification

 

SECONDARY CONCENTRATION IN QUANTITATIVE SOCIAL SCIENCE

A.  One of the following:

      Psyc 204    Quantitative Methods in Psychology

      Soc 204      Methods of Quantitative Analysis

      Educ 255    Intermediate Quantitative Methods

      Ling 280     Proseminar in Experimental Linguistics

 B.  Two of the following:

      Stat 202      Linear Models Using SAS

      Stat 204      Introduction to Statistical Data Analysis

      Psyc 205      Categorical Data Analysis

      Psyc 214A    Multivariate Techniques for Psychology

      Psyc 214B    Advanced Multivariate Techniques for Psychology

      Econ 216      Applied Econometrics I (or Econ 211A  Advanced Econometrics)

      Econ 217      Applied Econometrics II (or Econ 211B Advanced Econometrics)

      EEB 286       Experimental Design and Data Analysis

      Educ  256    Advanced Quantitative Methods in Education Research

 C.  Three of the following:

      Psyc 202R   Introduction to R

      Psyc 202M   Introduction to Matlab

      Psyc 210      The Experimental Method in Social Psychology

      Psyc 225AB Introduction to Developmental Research

      Psyc 248     Survey Research

      Psyc 255     Qualitative Inquiry in Psychology

      Psyc 261     Participatory Action Research

      Stat 266A   Data Visualization and Statistical Programming in R

      Stat 266C   Introduction to Data Wrangling

      Educ 266    Program Evaluation and Action Research in Educational Reform

      Soc 205      Field Research Methods
                           (or Psyc 249 Field Methods and Social Ethnography)    

      Poli 202      Fundamentals of Political Research

      Ling 245     Computational Methods of Discourse and Dialog
                          (same as Psyc 245/CMPS 245)

 D.  One Independent Study course.  The student will research a specialized topic in quantitative social science methods, write a tutorial paper on the topic, and present a tutorial seminar in the student’s home department.

                                                             --- or ---

Complete one additional course from Section B and one additional course from Section C.

Note:  The "Secondary Concentration" in Quantitative Social Science is not a formal credential and will not appear on the student's transcript or diploma.  This Secondary Concentration in Quantitative Social Science may be listed on the student’s curriculum vitae.

 

SECONDARY CONCENTRATION IN PROGRAM EVALUATION  

A.  One of the following:

      Psyc 204    Quantitative Methods in Psychology

      Soc 204      Methods of Quantitative Analysis

      Educ 255    Intermediate Quantitative Methods

      Poli 202      Fundamentals of Political Research

 B.  Three of the following:

      Psyc 205     Categorical Data Analysis

      Psyc 248     Survey Research

      Psyc 255     Qualitative Inquiry in Psychology

      Psyc 261     Participatory Action Research

      Educ 237    Qualitative Research Methods

      Educ 266    Program Evaluation and Action Research in Educational Reform

      Soc 205      Field Research Methods 
                        (or Psyc 249 Field Methods and Social Ethnography)    

 COne Independent Study course.  Tthe student will research a specific topic in program evaluation, write a tutorial paper on the topic, and present a tutorial seminar in the student’s home department. Alternatively, the student could work with a faculty member to conduct an actual program evaluation (on-campus program evaluation opportunities are available), prepare a written report of the program evaluation, and present the results in a departmental seminar.

 

Note:  The “Secondary Concentration" in Program Evaluation is not a formal credential and will not appear on a student's transcript or diploma. This Secondary Concentration in Program Evaluation may be listed on the student’s curriculum vitae.

Certified Students

Rose Grace Grose, Quantitative Social Science, Spring 2016           Paper

Giselle Laiduc, Quantitative Social Science, Fall 2019

 

DESIGNATED EMPHASIS IN STATISTICS

[Offered through the Department of Statistics]

A.  Both of the following: 

     Stat 203      Introduction to Probability Theory

     Stat 207      Intermediate Bayesian Statistical Models

B.  One of the following:

     Stat 206      Applied Bayesian Statistics

     Stat 206B    Intermediate Bayesian Inference

C. One of the following: 

     Stat 204      Introduction to Statistical Data Analysis

     Stat 205*    Introduction to Classical Statistical Learning

     Stat 205B*  Intermediate Classical Inference

     Stat 208      Linear Statistical Models

     Stat 209      Generalized Linear Models

     Stat 222      Bayesian Nonparametric Methods

     Stat 223      Time Series Analysis

     Stat 225      Multivariate Statistical Methods

     Stat 222      Bayesian Nonparametric Methods

     Stat 226      Spatial Statistics

     Stat 227      Advanced Bayesian Computation

     Stat 243      Stochastic Processes

     Stat 244      Bayesian Decision Theory

     Stat 246      Probability Theory with Markov Chains

     Stat 291      Advanced Topics in Bayesian Statistics

*Either Stat 205 or Stat 205B


DESIGNATED EMPHASIS IN DATA SCIENCE

[Offered through the Department of Statistics]

A.  All of the following:

Stat 204       Statistical Data Analysis

Stat 266A     Data Visualization and Statistical Programming in R

Stat 266C     Introduction to Data Wrangling

Stat 280       Seminar in Statistics and Data Science

CSE 242       Machine Learning

B.  One additional course from an approved list of electives

C.  The student will include one of the Data Science program faculty members who is not a member of the student's home department on the student's qualifying exam and dissertation committees.

 

Note: The “Designated Emphasis” is a formal credential and records will be kept of it on the student’s transcript in the Registrar’s office and on the student’s diploma.