The Certificate in Public Affairs Leadership requires 12 semester credits, which can be earned through traditional classroom instruction or through a cohort learning community.
Students choosing the traditional classroom experience attend courses
on campus with other certificate and master's degree students.
The cohort learning community offers a unique combination of on campus and online sessions, making it convenient for students from outside of the Twin Cities area to participate. The program starts with an intensive, introductory week in August, followed by monthly Friday–Saturday meetings from September to April.
PA 5051 Cohort Leadership I (2 credits, fall semester)
Leadership theories, tools, and strategies in global context for the mid-career student.
PA 5053 Cohort Policy Analysis I (2 credits, fall semester)
Process of public policy analysis, including problem formulation,
problem-solving, and communication of findings. Commonly used analytical
methods. Use of multimedia mini-cases, including readings, cases, and
simulation exercises.
PA 5055 Cohort Quantitative Analytics I (2 credits, fall semester)
A problem-based learning approach to quantitative analysis.
Frequency distributions, descriptive statistics, elementary probability
and statistical inference. Hypothesis testing. Cross-tabulation,
analysis of variance, correlation. Simple/multiple regression analysis.
Data set development. Relevance to policy and leadership decision
making.
PA 5052 Cohort Leadership II (2 credits, spring semester)
Continues PA 5051: Leadership theories, tools, and strategies in global context for the mid-career student.
PA 5054 Cohort Policy Analysis II (2 credits, spring semester)
Continues PA 5053: Process of public policy analysis, including
problem formulation, problem-solving, and communication of findings.
Commonly used analytical methods. Use of multimedia mini-cases,
including readings, cases, and simulation exercises.
PA 5056 Cohort Quantitative Analytics II (2 credits, spring semester)
Continues PA 5055: A problem-based learning approach to
quantitative analysis. Frequency distributions, descriptive statistics,
elementary probability and statistical inference. Hypothesis testing.
Cross-tabulation, analysis of variance, correlation. Simple/multiple
regression analysis. Data set development. Relevance to policy and
leadership decision making.
Introductory Week (daily, 8:30 a.m.–4:30 p.m.): August 19-23, 2013
Weekend Sessions: Fridays 10a.m.–4:30 p.m. and Saturdays 8:30 a.m.–4:30 p.m.
Friday-Saturday, September 20-21
Friday-Saturday, October 18-19
Friday-Saturday, November 22-23
Friday-Saturday, January 10-11
Friday-Saturday, February 7-8
Friday-Saturday, March 7-8
Friday-Saturday, April 4-5
Friday-Saturday, May 2-3