Twin Cities campus

This is archival data. This system was retired as of August 21, 2023 and the information on this page has not been updated since then. For current information, visit catalogs.umn.edu.

 
Twin Cities Campus

Public Affairs Ph.D.

HHH Administration
Hubert H. Humphrey School of Public Affairs
Link to a list of faculty for this program.
Contact Information
Hubert H. Humphrey School of Public Affairs, University of Minnesota, 301 19th Avenue S, Minneapolis, MN 55455 (612-624-3800; fax: 612-626-0002)
Email: hhhphd@umn.edu
Website: http://www.hhh.umn.edu/degrees/phd/
  • Program Type: Doctorate
  • Requirements for this program are current for Spring 2023
  • Length of program in credits: 66
  • This program does not require summer semesters for timely completion.
  • Degree: Doctor of Philosophy
Along with the program-specific requirements listed below, please read the General Information section of this website for requirements that apply to all major fields.
The Public Affairs PhD offers students opportunities for rigorous, advanced study in the areas of public affairs, policy analysis, and planning. The goal of the PhD program is to train researchers who will enter academia or join highly respected public or nonprofit institutions involved in cutting edge research in public affairs, policy, planning, and management. Students pursue one of the following tracks: public policy; urban planning; management and governance; or science, technology, and environmental policy.
Program Delivery
  • via classroom (the majority of instruction is face-to-face)
Prerequisites for Admission
The preferred undergraduate GPA for admittance to the program is 3.50.
Other requirements to be completed before admission:
Applicants are recommended to have completed undergraduate coursework in microeconomics and mathematics (calculus, statistics, or algebra).
Special Application Requirements:
A complete application will include a University of Minnesota application, a personal statement that includes motivation for pursuing doctoral studies and research interests, a resume or C.V., transcripts, GRE scores, a writing sample, TOEFL scores (if applicable), and at least three letters of recommendation. For Public Affairs Ph.D. applicants applying for the Fall 2023 cohort, GRE scores are not required. We request that applicants not submit them as they will not be weighed as part of the admissions process.
Applicants must submit their test score(s) from the following:
  • GRE
International applicants must submit score(s) from one of the following tests:
  • TOEFL
    • Internet Based - Total Score: 100
    • Paper Based - Total Score: 600
  • IELTS
    • Total Score: 7.0
The preferred English language test is Test of English as Foreign Language.
Key to test abbreviations (GRE, TOEFL, IELTS).
For an online application or for more information about graduate education admissions, see the General Information section of this website.
Program Requirements
42 credits are required in the major.
24 thesis credits are required.
This program may be completed with a minor.
Use of 4xxx courses towards program requirements is not permitted.
A minimum GPA of 3.00 is required for students to remain in good standing.
At least 1 semesters must be completed before filing a Degree Program Form.
Practical teaching experience: Doctoral students must complete training in pedagogy and a teaching experience as a course instructor or teaching assistant (TA) with instructional responsibilities. The pedagogical training may take place prior to or concurrent with the teaching experience. For international students, evidence of English-speaking proficiency is required prior to the teaching experience.
Core Coursework (12 credits)
Take the following courses. Take PA 8006 twice for a total of 3 credits.
PA 8003 - Integrative Doctoral Seminar in Public Affairs I (3.0 cr)
PA 8004 - Integrative Doctoral Seminar in Public Affairs II (3.0 cr)
PA 8005 - Doctoral Research Seminar in Public Affairs (3.0 cr)
PA 8006 - Current Research in Public Affairs: Topics, Approaches, and Cultures (1.5 cr)
Research Methods Coursework (12 credits)
Select 12 credits from the following in consultation with the advisor. Other courses may be selected with approval of the advisor and director of graduate studies.
Qualitative Methods Courses (3 credits)
Select at least 3 credits from the following in consultation with the advisor.
EPSY 5247 - Qualitative Methods in Educational Psychology (3.0 cr)
NURS 8171 - Qualitative Research Design and Methods (3.0-4.0 cr)
OLPD 5056 - Case Studies for Policy Research (3.0 cr)
PA 5041 - Qualitative Methods for Policy Analysts (4.0 cr)
PUBH 6636 - Qualitative Research Methods in Public Health Practice (2.0 cr)
PUBH 7250 - Designing and Conducting Focus Group Interviews (1.0 cr)
SOC 8851 - Advanced Qualitative Research Methods: In-Depth Interviewing (3.0 cr)
Quantitative Methods Courses (3 credits)
Select at least 3 credits from the following in consultation with the advisor.
APEC 5031 - Methods of Economic Data Analysis (3.0 cr)
APEC 5032 - Economic Data Analysis for Managerial and Policy Decisions (3.0 cr)
APEC 8001 - Applied Microeconomic Analysis of Consumer Choice and Consumer Demand (2.0 cr)
APEC 8002 - Applied Microeconomic Analysis of Production and Choice Under Uncertainty (2.0 cr)
APEC 8003 - Applied Microeconomic Analysis of Game Theory and Information (2.0 cr)
APEC 8004 - Applied Microeconomic Analysis of Social Choice and Welfare (2.0 cr)
APEC 8206 - Dynamic Optimization: Applications in Economics and Management (3.0 cr)
APEC 8211 - Econometric Analysis I (2.0 cr)
APEC 8212 - Econometric Analysis II (2.0 cr)
APEC 8221 - Programming for Econometrics (2.0 cr)
APEC 8222 - Big Data Methods in Economics (2.0 cr)
EPSY 5244 - Survey Design, Sampling, and Implementation (3.0 cr)
EPSY 5261 - Introductory Statistical Methods (3.0 cr)
EPSY 5262 - Intermediate Statistical Methods (3.0 cr)
EPSY 8266 - Statistical Analysis Using Structural Equation Methods (3.0 cr)
EPSY 8268 - Hierarchical Linear Modeling in Educational Research (3.0 cr)
EPSY 8282 - Statistical Analysis of Longitudinal Data (3.0 cr)
GEOG 8292 - Seminar in GIS: Spatial Analysis and Modeling (3.0 cr)
HIST 8970 - Advanced Research in Quantitative History (3.0 cr)
OLPD 5521 - Cost and Economic Analysis in Educational Evaluation (3.0 cr)
PA 5021 - Microeconomics for Policy Analysis (3.0 cr)
PA 5022 - Applications of Economics for Policy Analysis (1.5-3.0 cr)
PA 5031 - Statistics for Public Affairs (4.0 cr)
PA 5032 - Applied Regression (2.0 cr)
PA 5033 - Multivariate Techniques (2.0 cr)
PA 5044 - Applied Regression, Accelerated (2.0 cr)
PA 8302 - Applied Policy Analysis (4.0 cr)
PA 8312 - Analysis of Discrimination (4.0 cr)
PA 8331 - Economic Demography (3.0 cr)
PA 8390 - Advanced Topics in Advanced Policy Analysis Methods (1.0-3.0 cr)
POL 8160 - Topics in Models and Methods (2.0-3.0 cr)
PUBH 6341 - Epidemiologic Methods I (3.0 cr)
PUBH 6450 - Biostatistics I (4.0 cr)
PUBH 6810 - Survey Research Methods (3.0 cr)
PUBH 7461 - Exploring and Visualizing Data in R (2.0 cr)
PUBH 7462 - Advanced Programming and Data Analysis in R (2.0 cr)
PUBH 7475 - Statistical Learning and Data Mining (3.0 cr)
PUBH 8401 - Linear Models (3.0 cr)
PUBH 8472 - Spatial Biostatistics (3.0 cr)
SOC 8811 - Advanced Social Statistics (4.0 cr)
STAT 5021 - Statistical Analysis (4.0 cr)
STAT 5201 - Sampling Methodology in Finite Populations (3.0 cr)
STAT 5302 - Applied Regression Analysis (4.0 cr)
STAT 5421 - Analysis of Categorical Data (3.0 cr)
STAT 8101 - Theory of Statistics 1 (3.0 cr)
STAT 8102 - Theory of Statistics 2 (3.0 cr)
Other Methods Courses
Select credits from the following as needed, in consultation with the advisor, to complete the 12- credit Methods requirement:
HIST 8015 - Scope and Methods of Historical Studies (3.0 cr)
MGMT 8101 - PhD Seminar: Theory Building (2.0 cr)
PSY 8209 - Research Methods in Social Psychology (3.0 cr)
PUBH 6035 - Evaluation II: Planning & Evaluation (3.0 cr)
SOC 8801 - Sociological Research Methods (4.0 cr)
SOC 8890 - Advanced Topics in Research Methods (2.0-3.0 cr)
STAT 5303 - Designing Experiments (4.0 cr)
Thesis Credits
Take 24 doctoral thesis credits.
PA 8888 - Thesis Credit: Doctoral (1.0-24.0 cr)
Program Sub-plans
Students are required to complete one of the following sub-plans.
Students may not complete the program with more than one sub-plan.
Public Policy
Coursework (18 credits)
Select credits from 5000 and 8000-level courses in consultation with the advisor and the consent of faculty in the sub-plan area.
Urban Planning
Coursework (18 credits)
Select 18 credits of 5000 and 8000-level courses in consultation with the assigned advisor or co-advisor from the Urban and Regional Planning area.
Management and Governance
Coursework (18 credits)
Select 18 credits of 5000 and 8000-level courses in consultation with the advisor and the consent of faculty in the sub-plan area.
Science, Technology, and Environmental Policy
Coursework (18 credits)
Select 18 credits of 5000 and 8000-level courses in consultation with the advisor and the consent of faculty in the sub-plan area.
 
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View college catalog(s):
· Hubert H. Humphrey School of Public Affairs

View future requirement(s):
· Fall 2023


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· Public Affairs Ph.D.
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PA 8003 - Integrative Doctoral Seminar in Public Affairs I
Credits: 3.0 [max 6.0]
Grading Basis: A-F only
Typically offered: Every Fall
Lays foundation for doctoral-level study of public affairs through introduction of key concepts, literature, research questions of public affairs. Critically examines paradigms/methodologies through readings, discussions, writing assignments, research presentations. Facilitates development of dissertation research ideas. prereq: Public Affairs doctoral student
PA 8004 - Integrative Doctoral Seminar in Public Affairs II
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Spring
Continues PA 8003. Lays foundation for doctoral-level study of public affairs through introduction of key concepts, literature, research questions of public affairs. Critically examines paradigms/methodologies through readings, discussions, writing assignments, research presentations. Facilitates development of dissertation research ideas. prereq: Public Affairs doctoral student
PA 8005 - Doctoral Research Seminar in Public Affairs
Credits: 3.0 [max 3.0]
Prerequisites: Public Affairs doctoral student
Grading Basis: A-F only
Typically offered: Every Spring
Conduct of research, including ethics. Students develop and refine their research ideas. Facilitates development of dissertation research prospectus. prereq: Public Affairs doctoral student
PA 8006 - Current Research in Public Affairs: Topics, Approaches, and Cultures
Credits: 1.5 [max 3.0]
Grading Basis: S-N only
Typically offered: Every Fall & Spring
Students participate in research seminars exploring current topics, approaches, and cultures in public affairs. Students responsible for discussion, presentation, and evaluation of research, including peer review of papers and presentations. Discussion of research ethics and skills, including literature reviews, research design, data visualization, public engagement, presentation, and project management.
EPSY 5247 - Qualitative Methods in Educational Psychology
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Introduction to qualitative methods of inquiry. Contrasting different research traditions (e.g., case study, phenomenology, ethnography, social interactionism, critical theory). Practice with field notes, observations, and interviewing. Use of NVIVO to track/code data. prereq: Graduate student or Applied Psychology in Educational and Community Settings Minor
NURS 8171 - Qualitative Research Design and Methods
Credits: 3.0 -4.0 [max 4.0]
Typically offered: Every Spring
Overview and comparative analysis of selected qualitative research methods and analytic strategies. Focuses on developing rigorous qualitative designs that contribute to development of nursing and health care knowledge for diverse populations. prereq: 8170 or equiv
OLPD 5056 - Case Studies for Policy Research
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall, Spring & Summer
This course introduces students to knowledge and skills appropriate for the conduct of rigorous case study research in educational, organizational, and other social settings. Underlying purposes and assumptions of case study methods will be examined as well as a variety of methodological approaches. The course focuses on the use of qualitative and mixed-methods approaches as these are the predominant strategies employed in contemporary case study research. Accordingly, it emphasizes links between research purposes, the conceptualization of case study projects, and the development of researchable questions. It also takes up a variety of ethical and political issues related to working with participants during the research process, as well as contemporary trustworthiness criteria for case study reports. The bulk of the course is given to training in observation, generating field notes, interviewing, collecting material cultural artifacts, using surveys, and analyzing, interpreting, and writing up case study data. The first segment of the course focuses on a critical discussion of research paradigms and epistemological assumptions of a variety of case study approaches. Students choose and critique a published case study from their field of interest. The second part of the course is devoted to a very small scale case study project which students design and carry out themselves. This project is supported by relevant readings and in-class activities (including peer review) related to the actual conduct of case study research.
PA 5041 - Qualitative Methods for Policy Analysts
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
Qualitative analysis techniques, examples of application. Meet with researcher. Hands-on experience in designing, gathering, analyzing data.
PUBH 6636 - Qualitative Research Methods in Public Health Practice
Credits: 2.0 [max 2.0]
Grading Basis: OPT No Aud
Typically offered: Every Fall & Spring
Qualitative inquiry, selected data collection, management, analysis methods for qualitative research in public health. Current approaches to assess strength of evidence of qualitative studies in public health. Provision of practical skills that can be applied in public health settings.
PUBH 7250 - Designing and Conducting Focus Group Interviews
Credits: 1.0 [max 1.0]
Grading Basis: OPT No Aud
Typically offered: Every Spring & Summer
Interactive, intensive overview of focus group procedures for public/non-profit environments. Practical approaches to determining appropriate use of focus groups. Design options, developing questions, recruiting participants, moderating. Analyzing/reporting results.
SOC 8851 - Advanced Qualitative Research Methods: In-Depth Interviewing
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Spring Odd Year
Interviewers have opened up other worlds to the sociological imagination and taught us much about the way people think, feel, and make sense of the world as well as of their own identities. We will conduct interviews; transcribe, code, and analyze interview data; and write up interview- based research. We will also consider a range of epistemological, practical, and ethical issues related to interviewing as a research method, reading materials drawn from a broad range of substantive sociological subfields as well as from geography. This course is best suited to graduate students who have an interview-based project in mind and want to acquire the skills for carrying out their research, and students who are considering using interviews in their dissertation research and want to try their hand at interviewing before making a decision. Because this is a hands-on, fieldwork-based course, no auditors are permitted.
APEC 5031 - Methods of Economic Data Analysis
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
The course introduces linear statistical economic (econometric) models with and without independent errors. It also introduces econometric models for analyzing discrete response variables, censored response variables, and non-random data samples. It shows how these econometric models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. prereq: APEC 3001, Math 1142 or Math 1272, Stat 3001 or Sco 2550 or grad student or instructor consent
APEC 5032 - Economic Data Analysis for Managerial and Policy Decisions
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
The course covers statistical and econometric methods for the analysis of data to support managerial and policy decisions. It includes methods for organizing, accessing, and ensuring the quality of data. The econometric methods covered by the course are applicable to panel, discrete response, duration, and time series data. prereq: 5031 or instr consent
APEC 8001 - Applied Microeconomic Analysis of Consumer Choice and Consumer Demand
Credits: 2.0 [max 2.0]
Course Equivalencies: ApEc 8001/Econ 8001/Econ 8101
Grading Basis: A-F or Aud
Typically offered: Every Fall
The course provides a rigorous mathematical treatment of cost-benefit analysis in terms of the theory of how prices, income, preferences, and other factors affect consumer choices and the demand for goods and services. The optimization theories and economic models are developed with and without uncertainty. Part of four-course, year-long sequence (APEC 8001-2-3-4) prereq: [[5151 or ECON 3101 or ECON 5151 or intermediate microeconomic theory], [[MATH 2243, MATH 2263] or equiv]] or instr consent
APEC 8002 - Applied Microeconomic Analysis of Production and Choice Under Uncertainty
Credits: 2.0 [max 2.0]
Course Equivalencies: ApEc 8002/Econ 8002/Econ 8102
Grading Basis: A-F or Aud
Typically offered: Every Fall
The course provides a rigorous mathematical treatment of cost-benefit analysis in terms of the theory of how prices, technology, and other important factors affect producer decisions, the supply of goods and services, and the demand for productive resources. The optimization theories and economic models are developed with and without uncertainty. The course also explores the theory of price determination in competitive, monopoly, and monopsony markets. Part of four-course, year-long sequence (APEC 8001-2-3-4) prereq: [[8001 or ECON 8001 or ECON 8101], [[MATH 2243, MATH 2263] or equiv]] or instr consent
APEC 8003 - Applied Microeconomic Analysis of Game Theory and Information
Credits: 2.0 [max 2.0]
Course Equivalencies: ApEc 8003/Econ 8003/Econ 8103
Grading Basis: A-F or Aud
Typically offered: Every Spring
The course provides a rigorous mathematical treatment of cost-benefit analysis in terms of the theory of how strategic interactions between consumers and producers (game theory) and information affect prices, resource allocation, and welfare. The optimization theories and economic models are developed in the contexts of both market and nonmarket goods and services. Part of four-course, year-long sequence (APEC 8001-2-3-4). prereq: [[8002 or ECON 8002 or ECON 8102], [[MATH 2243, MATH 2263] or equiv]] or instr consent
APEC 8004 - Applied Microeconomic Analysis of Social Choice and Welfare
Credits: 2.0 [max 2.0]
Course Equivalencies: ApEc 8400/Econ 8400/Econ 8104
Grading Basis: A-F or Aud
Typically offered: Every Spring
The course provides a rigorous mathematical treatment of cost-benefit analysis in terms of the theory of how prices of goods and services are determined in competitive markets, and the implications of these prices on social welfare. It shows what happens to the prices of goods and services and social welfare when competitive markets fail. Part of four-course, year-long sequence (APEC 8001-2-3-4). prereq: [[8003 or ECON 8003 or ECON 8103], [[MATH 2243, MATH 2263] or equiv]] or instr consent
APEC 8206 - Dynamic Optimization: Applications in Economics and Management
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Formulation and solution of dynamic optimization problems using optimal control theory and dynamic programming. Analytical and numerical solution methods to solve deterministic and stochastic problems for various economic applications. prereq: 5151 or equiv or instr consent
APEC 8211 - Econometric Analysis I
Credits: 2.0 [max 4.0]
Typically offered: Every Fall
The course introduces the foundations for statistical economic (econometric) models, linear econometric models, and inference with linear econometric models when observations are independent and the sample size is large. it shows how linear models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. Part of four-course, year-long sequence (APEC 8211-2-3-4). prereq: ApEc 5031 or equiv OR Ph.D. student OR instr consent
APEC 8212 - Econometric Analysis II
Credits: 2.0 [max 4.0]
Typically offered: Every Fall
The course introduces the foundations for statistical economic (econometric) models, linear econometric models, and inference with linear econometric models when observations are dependent because individual units are sampled over regular time intervals (panel data) as well as for other reasons. It shows how these linear models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. Part of four-course, year-long sequence (APEC 8211-2-3-4). prereq: 8211 or equiv or instr consent
APEC 8221 - Programming for Econometrics
Credits: 2.0 [max 2.0]
Typically offered: Fall Even Year
Applications of computer programming in econometrics. Introduction to and best practices in programming, including writing functions, organizing and commenting code, vectorization and other performance tips. Programmatic acquisition of novel economic datasets through Application Programming Interfaces (APIs), web scraping, and databases. Efficient cleaning and merging of datasets. Finally, a survey of common computational challenges in econometric estimation and potential solutions. prereq: APEC 5031 or equivalent
APEC 8222 - Big Data Methods in Economics
Credits: 2.0 [max 2.0]
Typically offered: Fall Even Year
Challenges, techniques, and opportunities presented by data that has one or more of the following characteristics: large, unstructured, high frequency, variable quality. The course will consist of three parts: 1) computational tools for applying standard econometric techniques on large datasets, 2) extracting summary information from unstructured data (e.g. images, text) for use in econometric analysis, 3) application of statistical learning techniques (e.g. classifiers, regression trees, machine learning) and the role of such techniques in causal inference. prereq: APEC 5031 or equivalent; APEC 8221 or equivalent programming experience.
EPSY 5244 - Survey Design, Sampling, and Implementation
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Survey methods, including mail, phone, and Web-based/e-mail surveys. Principles of measurement, constructing questions/forms, pilot testing, sampling, data analysis, reporting. Students develop a survey proposal and a draft survey, pilot the survey, and develop sampling/data analysis plans. prereq: [5221 or 5231 or 5261 or equiv], [CEHD grad student or MEd student]
EPSY 5261 - Introductory Statistical Methods
Credits: 3.0 [max 3.0]
Course Equivalencies: EPsy 3264/5231/5261/5263
Typically offered: Every Fall, Spring & Summer
EPSY 5261 is designed to engage students in statistics as a principled approach to data collection, prediction, and scientific inference. Students first learn about data collection (e.g., random sampling, random assignment) and examine data descriptively using graphs and numerical summaries. Students build conceptual understanding of statistical inference through the use of simulation-based methods (bootstrapping and randomization) before going on to learn parametric methods, such as t-tests (one-sample and two-sample means), z-tests (one-sample and two-sample proportions), chi-square tests, and regression. This course uses pedagogical methods grounded in research, such as small group activities and discussion. Attention undergraduates: As this is a graduate level course, it does not fulfill the Mathematical Thinking Liberal Education requirement. If you would like to take a statistics course in our department that fulfills that requirement, please consider EPSY 3264.
EPSY 5262 - Intermediate Statistical Methods
Credits: 3.0 [max 3.0]
Typically offered: Every Fall & Spring
Application of statistical concepts/procedures. Analysis of variance, covariance, multiple regression. Experimental design: completely randomized, block, split plot/repeated measures. prereq: 3264 or 5261 or equiv
EPSY 8266 - Statistical Analysis Using Structural Equation Methods
Credits: 3.0 [max 3.0]
Prerequisites: 8265, [8252 or equiv]
Typically offered: Periodic Spring
Quantitative techniques using manifest/latent variable approaches for analysis of educational/social science data. Introduction to structural equation modeling approaches to multiple regression, factor analysis, path modeling. Developing, estimating, interpreting structural equation models. prereq: 8265, [8252 or equiv]
EPSY 8268 - Hierarchical Linear Modeling in Educational Research
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Conceptual framework of hierarchical linear models for nested data, their application in educational research. Nature/effects of nested data, logic of hierarchical models, mixed-effects models. Estimation/hypothesis testing in these models, model-checking, nonlinear models. prereq: [8252 or equiv]
EPSY 8282 - Statistical Analysis of Longitudinal Data
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Traditional/modern approaches to analyzing longitudinal data. Dependent t-test, repeated measures ANOVA/MANOVA. Linear mixed models, multilevel models, generalized models. prereq: [8252 or equiv]
GEOG 8292 - Seminar in GIS: Spatial Analysis and Modeling
Credits: 3.0 [max 3.0]
Typically offered: Spring Even Year
Overview of Geographic Information Systems (GIS) and spatial analysis/modeling of human/environmental systems. Spatial statistics, modeling spatiotemporal processes, simulation techniques, visualization, complex systems/complexity. Guidance in thesis/dissertation research. prereq: 3511 [or equiv statistics course], [3561 or 5561 or equiv intro GIS course] or instr consent
HIST 8970 - Advanced Research in Quantitative History
Credits: 3.0 [max 12.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall & Spring
Students carry out publishable-quality research on quantitative history topic. prereq: Grad student
OLPD 5521 - Cost and Economic Analysis in Educational Evaluation
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Use and application of cost-effectiveness, cost-benefit, cost-utility, and cost-feasibility in evaluation of educational problems and programs.
PA 5021 - Microeconomics for Policy Analysis
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Introduction to tools useful for public policy. Intermediate microeconomics.
PA 5022 - Applications of Economics for Policy Analysis
Credits: 1.5 -3.0 [max 9.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Application of economic reasoning to a wide range of contemporary public policy issues. The following topically-focused courses also fulfill the MPP economics requirement: PA 5431: Public Policies on Work and Pay, PA 5503: Economics of Development, PA 5521: Development Planning and Policy Analysis, PA 5722: Economics of Natural Resource and Environmental Policy, and PA 5805: Global Economics. prereq: 5021 or equiv
PA 5031 - Statistics for Public Affairs
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.
PA 5032 - Applied Regression
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Bivariate/multivariate models of regression analysis, assumptions behind them. Problems using these models when such assumptions are not met.
PA 5033 - Multivariate Techniques
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Use of bivariate and multivariate statistical approaches for analyzing and evaluating public affairs issues and the assumptions behind the analytical approaches. Designed to help students read, understand, interpret, use, and evaluate empirical work used in social sciences by policy analysts and policy makers. prereq: Students who register for PA 5033 must take PA 5044 and PA 5033 in the same semester. The same grade will be issued for PA 5044 and PA 5033 after PA 5033 is completed.
PA 5044 - Applied Regression, Accelerated
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Spring
Bivariate/multivariate models used in regression analysis, including assumptions behind them/problems that arise when assumptions are not met. Course covers similar topics as PA 5032 but delves deeper into theory/application of methods. prereq: Students who register for PA 5044 must take PA 5044 and PA 5033 in the same semester. The same grade will be issued for PA 5044 and PA 5033 after PA 5033 is completed.
PA 8302 - Applied Policy Analysis
Credits: 4.0 [max 4.0]
Typically offered: Periodic Fall & Spring
Design/evaluation of public policies. Emphasizes market/non-market contexts. Microeconomics and welfare economics of policy analysis. Econometric tools for measurement of policy outcomes. Applications to policy problems. prereq: Intermediate microeconomics, introduction to econometrics
PA 8312 - Analysis of Discrimination
Credits: 4.0 [max 4.0]
Typically offered: Periodic Fall & Spring
Policy analysis/other applied social sciences as tools for measuring/detecting discrimination in market/nonmarket contexts. Application of modern tools of labor econometrics/race relations research to specific problems of market/nonmarket discrimination.
PA 8331 - Economic Demography
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Spring
Classical theory, advanced econometric methods, recent empirical work, and available datasets for research in economic demography. Topics include the economics of mortality, fertility, migration, marriage, women's labor supply, intra-family bargaining, and age structure. Students develop critical analysis and academic discourse skills through in-depth discussions and replications of papers, presentations, referee-style writing assignments, and a term paper. prereq: Grad-level economic theory (PA 5021 or equiv) and econometrics (PA 5033 or equiv) and instructor permission
PA 8390 - Advanced Topics in Advanced Policy Analysis Methods
Credits: 1.0 -3.0 [max 6.0]
Typically offered: Periodic Fall & Spring
Selected topics.
POL 8160 - Topics in Models and Methods
Credits: 2.0 -3.0 [max 12.0]
Typically offered: Every Fall & Spring
Seminars on selected topics, as specified in Class Schedule.
PUBH 6341 - Epidemiologic Methods I
Credits: 3.0 [max 3.0]
Course Equivalencies: PubH 6320PubH /6341
Grading Basis: A-F only
Typically offered: Every Fall
Introduction to epidemiologic concepts and methods: (1) Study design (randomized trials and observational studies); (2) Measures of exposure-disease association; (3) Casual inference and bias; (4) Confounding and effect modification.
PUBH 6450 - Biostatistics I
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
This course will cover the fundamental concepts of exploratory data analysis and statistical inference for univariate and bivariate data, including: ? study design and sampling methods, ? descriptive and graphical summaries, ? random variables and their distributions, ? interval estimation, ? hypothesis testing, ? relevant nonparametric methods, ? simple regression/correlation, and ? introduction to multiple regression. There will be a focus on analyzing data using statistical programming software and on communicating the results in short reports. Health science examples from the research literature will be used throughout the course. prereq: [College-level algebra, health sciences grad student] or instr consent
PUBH 6810 - Survey Research Methods
Credits: 3.0 [max 3.0]
Grading Basis: OPT No Aud
Typically offered: Every Spring
Theory/application of survey research in data collection. Sampling, item development, instrument design/administration to conduct survey or be aware of issues related to design/implementation. Identification of sources of error in survey research.
PUBH 7461 - Exploring and Visualizing Data in R
Credits: 2.0 [max 2.0]
Typically offered: Every Fall
This course is intended for students, both within and outside the School of Public Health, who want to learn how to manipulate data, perform simple statistical analyses, and prepare basic visualizations using the statistical software R. While the tools and techniques taught will be generic, many of the examples will be drawn from biomedicine and public health.
PUBH 7462 - Advanced Programming and Data Analysis in R
Credits: 2.0 [max 2.0]
Typically offered: Every Spring
This course is intended for students who are relatively proficient with R, and are looking to improve their coding and data analysis skills. The emphasis will be on learning tools and techniques which are useful to students who will be doing non-trivial programming and/or data analysis in either a research or production environment.
PUBH 7475 - Statistical Learning and Data Mining
Credits: 3.0 [max 3.0]
Typically offered: Periodic Spring
Various statistical techniques for extracting useful information (i.e., learning) from data. Linear discriminant analysis, tree-structured classifiers, feed-forward neural networks, support vector machines, other nonparametric methods, classifier ensembles, unsupervised learning. prereq: [[[6450, 6452] or equiv], programming backgroud in [FORTRAN or C/C++ or JAVA or Splus/R]] or instr consent; 2nd yr MS recommended
PUBH 8401 - Linear Models
Credits: 3.0 [max 4.0]
Typically offered: Every Fall
This course is concerned with the theory and application of linear models. The first part of the course will focus on general linear model theory from a coordinate-free geometric approach. The second half of the course covers theory, applications and computing for linear models, and concentrates on modeling, computation and data analysis. It is intended as a core course for biostatistics PhD students and statistics PhD students. prereq: [[7405, concurrent registration is required (or allowed) in STAT 8101] or instr consent], calculus, familiar wtih matrix/linear algebra
PUBH 8472 - Spatial Biostatistics
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Spatial data, spatial statistical models, and spatial inference on unknown parameters or unobserved spatial data. Nature of spatial data. Special analysis tools that help to analyze such data. Theory/applications. prereq: [[STAT 5101, STAT 5102] or [STAT 8101, STAT 8102]], some experience with S-plus; STAT 8311 recommended
SOC 8811 - Advanced Social Statistics
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Statistical methods for analyzing social data. Sample topics: advanced multiple regression, logistic regression, limited dependent variable analysis, analysis of variance and covariance, log-linear models, structural equations, and event history analysis. Applications to datasets using computers. prereq: recommend 5811 or equiv; graduate student or instr consent
STAT 5021 - Statistical Analysis
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: college algebra or instr consent; credit will not be granted if credit has been received for STAT 3011
STAT 5201 - Sampling Methodology in Finite Populations
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Simple random, systematic, stratified, unequal probability sampling. Ratio, model based estimation. Single stage, multistage, adaptive cluster sampling. Spatial sampling. prereq: 3022 or 3032 or 3301 or 4102 or 5021 or 5102 or instr consent
STAT 5302 - Applied Regression Analysis
Credits: 4.0 [max 4.0]
Typically offered: Every Fall, Spring & Summer
Simple, multiple, and polynomial regression. Estimation, testing, prediction. Use of graphics in regression. Stepwise and other numerical methods. Weighted least squares, nonlinear models, response surfaces. Experimental research/applications. prereq: 3032 or 3022 or 4102 or 5021 or 5102 or instr consent Please note this course generally does not count in the Statistical Practice BA or Statistical Science BS degrees. Please consult with a department advisor with questions.
STAT 5421 - Analysis of Categorical Data
Credits: 3.0 [max 3.0]
Typically offered: Every Fall & Spring
Varieties of categorical data, cross-classifications, contingency tables. Tests for independence. Combining 2x2 tables. Multidimensional tables/loglinear models. Maximum-likelihood estimation. Tests for goodness of fit. Logistic regression. Generalized linear/multinomial-response models. prereq: STAT 3022 or 3032 or 3301 or 5302 or 4051 or 8051 or 5102 or 4102
STAT 8101 - Theory of Statistics 1
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Review of linear algebra. Introduction to probability theory. Random variables, their transformations/expectations. Standard distributions, including multivariate Normal distribution. Probability inequalities. Convergence concepts, including laws of large numbers, Central Limit Theorem. delta method. Sampling distributions. prereq: Statistics grad major or instr consent
STAT 8102 - Theory of Statistics 2
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Statistical inference. Sufficiency. Likelihood-based methods. Point estimation. Confidence intervals. Neyman Pearson hypothesis testing theory. Introduction to theory of linear models. prereq: 8101, Statistics graduate major or instr consent
HIST 8015 - Scope and Methods of Historical Studies
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Development of historical studies over time (especially in 19th and 20th centuries). Methodologies currently shaping historical research. Theoretical developments within the discipline during 19th and 20th centuries. prereq: instr consent
MGMT 8101 - PhD Seminar: Theory Building
Credits: 2.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Spring
Problem formulation, conceptual modeling, and theory building, in the social and behavioral sciences. prereq: Business admin PhD student or instr consent
PSY 8209 - Research Methods in Social Psychology
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Fall Odd Year
Experimental/quasi-experimental methods for research in social psychology. Statistical, interpretive, operational, and ethical issues. prereq: Psych PhD student
PUBH 6035 - Evaluation II: Planning & Evaluation
Credits: 3.0 [max 3.0]
Course Equivalencies: PubH 6035/PubH 6806
Typically offered: Every Fall
The course will prepare students to develop and apply evidence-based policy and program evaluation approaches in community health settings. The course is designed to guide students through planning and evaluating the impact of public health strategies using the RE-AIM Framework based on the Reach, Effectiveness, Adaptation, Implementation, and Maintenance/Sustainability. prereq: PubH 6034 or Instructor permission
SOC 8801 - Sociological Research Methods
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall & Spring
Multiple objectives of social research and how they inform research design. Conceptualization and measurement of complex concepts. Broad issues in research design and quantitative and qualitative approaches to data collection and management. prereq: Grad soc major or instr consent
SOC 8890 - Advanced Topics in Research Methods
Credits: 2.0 -3.0 [max 6.0]
Typically offered: Every Fall & Spring
Advanced Research Methods (e.g., multilevel models), historical/comparative, field, survey research. Topics specified in Class Schedule. prereq: 8801, 8811, or instr consent. Cr will not be granted if cr has been received for the same topics title
STAT 5303 - Designing Experiments
Credits: 4.0 [max 4.0]
Typically offered: Every Fall, Spring & Summer
Analysis of variance. Multiple comparisons. Variance-stabilizing transformations. Contrasts. Construction/analysis of complete/incomplete block designs. Fractional factorial designs. Confounding split plots. Response surface design. prereq: 3022 or 3032 or 3301 or 4102 or 5021 or 5102 or instr consent
PA 8888 - Thesis Credit: Doctoral
Credits: 1.0 -24.0 [max 100.0]
Grading Basis: No Grade
Typically offered: Every Fall, Spring & Summer
Doctoral thesis credit. prereq: [Max 18 cr per semester or summer], 24 cr required