Public Policy Analysis

787 Public Policy Analysis

  • Study programme and level: University degree programme Public sector governance 1st Cycle
  • 1st year
  • 6 ECTS
  • Course type: Core
  • Lectures: 45
  • Tutorial: 30
  • Other forms of study: 15
  • Individual work: 90
  • Lecturer: Mitja Durnik, PhD


1. Objectives and competences


  • comprehension of the policy analysis in relation to studying the public administration and possible integration of the disciplines;
  • capability to choose and apply theoretical concepts and methods of policy analysis in resolving expert and working problems;
  • ability to align policy analysis with other academic disciplines and understanding the way how they are included in basic research approach in policy analysis;
  • awareness of the issue how crucial is the ongoing training and new knowledge in policy analysis field for development of the future career in public administration, public sector and wider.


  • understanding of the role of values in research;
  • understanding the structure of the policy problem
  • basic knowledge of using computer software in policy analysis (policy network analysis  - »Discourse Network Analyzer DNA« discourse analysis -  »QD Miner«, statistics-SPSS);
  • distinction between qualitative and quantitative methods and understanding of the use of combined methods in policy analysis
  • analysis and comprehension of more basic problems from everyday praxis
  • understanding of policy problems:  multi-level and multi-dimensional parameters.

2. Content

  • Public policy: basic definitions, models and principles;
  • Actors in public policy making (special emphasis on the role of bureaucracy);
  • Policy process and policy cycle (macro, meso, and micro level analysis);
  • Theories of power in policy analysis;
  • Policy paradigms and policy changes
  • Methodology for policy analysis: quantitative analysis and positivism; the role of argument and interpretive concepts; mixed methods in policy analysis;
  • Policy Networks;
  • The role of values in policy analysis;
  • The role of evaluation techniques in policy analysis;
  • Case studies: health policy, development policy;
  • Power of multidisciplinary approach: policy analysis and political economy;
  • Basic usage of computer software for policy analysis (policy network analysis  - »Discourse Network Analyzer DNA« discourse analysis -  »QD Miner«, statistics-SPSS).

3. Readings

  • Fink-Hafner, Danica (ur.). 2007. Uvod v analizo politik : teorije, koncepti, načela. Fakulteta za družbene vede  (celotna knjiga 217 strani; izbrana poglavja cca. 100 strani).
  • Dunn, William N. 2012. Public Policy Analysis (international edition). Pearson Education, Limited (celotna knjiga 480 stani, izbrana poglavja cca. 150 strani).
  • Wiemer, David L. in Aidan R. Wining. 2008. 2011. Policy Analysis. Longman (celotna knjiga 473 strani; izbrana poglavja cca. 150 strani).
  • Howlett, Michael, Anthony Perl in M. Ramesh. Studying Public Policy: Policy Cycles and Policy Subsystems.  Oxford University Press. (celotna knjiga 298 strani; izbrana poglavja cca. 150 strani).

4. Intended learning outcomes

Knowledge and understanding:

  • proper use of methodological approaches;
  • scientific writing at the elementary level
  • proper use of resources for the study and analysis;
  • understanding of the basic concepts and models of policy analysis.

5. Learning and teaching methods

  • lecture;
  • practical work;
  • e-learning;
  • use of e-communication tools to solve practical problems;
  • field trip (visiting institutions at the national and European level);
  • seminar paper;
  • group presentations;
  • problem based learning.

6. Assessment

  • written exam(50%)
  • coursework and active class participation (20%)
  • seminar work paper (30%)