For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| CON4013 | Artificial Intelligence Data Analytics | 3 | 6 | Major | Bachelor/Master | Consumer Science | Korean | Yes | |
| This course covers advanced data analysis methodologies using modern artificial intelligence techniques, including machine learning and deep learning. Students will develop the ability to perform in-depth processing and analysis of data in various forms and scales, and derive meaningful insights. Through this course, students will acquire sophisticated analytical capabilities applicable to various research fields, including consumer studies, and cultivate problem-solving skills to propose solutions for real-world problems through hands-on programming exercises. | |||||||||
| CON4014 | Data Science for Causal Inference | 3 | 6 | Major | Bachelor/Master | Consumer Science | Korean | Yes | |
| This course covers advanced data analysis techniques for evaluating the causal effects of interventions designed to influence consumer behavior. Topics include the potential outcomes framework, causal analysis methods, model estimation and validation using data analysis tools, and real-world applications through replication studies. Students will gain an understanding of the causal inference in data-driven decision making and develop the skills to apply these concepts. | |||||||||
| CON4015 | Data-Based Quantitative Research Methods | 3 | 3 | Major | Bachelor/Master | Consumer Science | English | Yes | |
| Data-Based Quantitative Research Methods is a methodological course that introduces the core principles of quantitative research and the procedures of data-driven empirical analysis used across the social sciences. The course is designed to help students understand the full process through which quantitative research formulates research questions, organizes and analyzes data, interprets statistical results, and ultimately derives evidence-based conclusions. Students will learn essential concepts in quantitative inquiry, including research design, variable measurement, sampling strategies, and assessments of validity and reliability. Through hands-on work with Stata, they will conduct key stages of empirical analysis such as data cleaning, descriptive statistics, exploratory data analysis, and regression modeling. This practical engagement will enhance their applied research skills. By the end of the course, students will be able to recognize data structures and patterns, interpret analytical outputs, and use empirical evidence to explain social phenomena. The course focuses on building a strong conceptual understanding of quantitative research and developing students’ capacity to apply data effectively across a wide range of social science research contexts. | |||||||||
| COV7001 | Academic Writing and Research Ethics 1 | 1 | 2 | Major | Master/Doctor | SKKU Institute for Convergence | Korean | Yes | |
| 1) Learn the basic structure of academic paper writing, and obtain the ability to compose academic paper writing. 2) Learn the skills to express scientific data in English and to be able to sumit research paper in the international journals. 3) Learn research ethics in conducting science and writing academic papers. | |||||||||
| COV7003 | Academic Writing and Research Ethics 3 | 3 | 6 | Major | Master/Doctor | SKKU Institute for Convergence | Korean | Yes | |
| This course trains graduate students to become more effective, efficient, and confident writers. This is a hands-on course that emphasizes interactive examples and practice. In the first four weeks, we will review principles of effective writing, examples of good and bad writing, and tips for making the writing process easier. In the second four weeks, we will examine issues specific to scientific writing, including: authorship, peer review, the format of an original manuscript, and research ethics. Students will complete editing exercises, write two short papers, and edit each others’ work. The primary audience is graduate majors, graduate students in any disciplines, and professional scientists. | |||||||||
| ERP4001 | Creative Group Study | 3 | 6 | Major | Bachelor/Master | - | No | ||
| This course cultivates and supports research partnerships between our undergraduates and faculty. It offers the chance to work on cutting edge research—whether you join established research projects or pursue your own ideas. Undergraduates participate in each phase of standard research activity: developing research plans, writing proposals, conducting research, analyzing data and presenting research results in oral and written form. Projects can last for an entire semester, and many continue for a year or more. SKKU students use their CGS(Creative Group Study) experiences to become familiar with the faculty, learn about potential majors, and investigate areas of interest. They gain practical skills and knowledge they eventually apply to careers after graduation or as graduate students. | |||||||||
| GFP5025 | Policy Studies Seminar | 3 | 6 | Major | Master/Doctor | 1-4 | Future Policy Studies | - | No |
| This course provides an introduction to the political institutions and processes through which public policy is made and implemented in democratic political systems. The course also introduces students to the tools of policy analysis. It is designed to help you think creatively and critically about public policy issues and equip you with the necessary skills and insight to identify, address, and resolve public policy problems. The first half of the course presents models of policymaking and tools of policy analysis. The second half of the course applies these concepts to specific policy areas such as health care, environment, foreign affairs, and education, as illustrated by real-world case studies. The course emphasizes written and oral communication through the development of professional memo-writing and presentation skills. | |||||||||
| GSP4001 | Policy Science: Theory & Korean Smart Policy Framework | 3 | 6 | Major | Bachelor/Master | English | Yes | ||
| As the 21st century unfolds, we are living in a chaotic and turbulent society. Speed of thought becomes very important as information and knowledge is the most critical factor of national competitiveness. To achieve national competitiveness, thereby building a great and strong nation, effective policymaking is crucial to achieve government innovation and national transformation. How these kinds of enormous change and innovation, swirling from the high-technological environmental changes such as the SMART revolution and the INDUSTRIAL revolution, will impact the academic discipline of policy science, effective policy-making specifically? What should be the new theoretical principle and philosophy of policy science to break-away the so-called criticism of the ‘impoverished professionalism’ facing the science of public administration? And how could we then academically link the theoretical principles of the knowledge-created Smart e-Government with the traditional Policy Science? This lecture concentrates on the attempt to answer these kinds of academic as well as practical questions, searching for a new paradigm of the policy framework to presenting the most appropriate strategy facing the developing countries in this 21st century. | |||||||||
| GSP4002 | Case Study for the Collaborative Governance | 3 | 6 | Major | Bachelor/Master | - | No | ||
| This course aims to provide an opportunity to learn institutional diversity for solving new social problems and to critically explore its feasibility. We learn various theoretical lenses on the diversity of ‘wicked’ problems, governance, and collaborative governance. Based on this theoretical discussion, students have the opportunity to analyze the limitations of the current solution for social problems and present creative alternatives. It also offers students the chance to learn and practice research methods for governance, such as case studies, so that they can give presentations at academic conferences. | |||||||||
| GSP4003 | e-Government and Policy Development: A Case Study on the Local Development in Korea | 3 | 6 | Major | Bachelor/Master | - | No | ||
| The purpose of the seminar is to examine the main economic, political, cultural, legal and technical forces generated by Information and Knowledge Revolution, for which new e-Policy must be developed. In this seminar, we will discuss the theoretical as well as strategic dimensions of knowledge-based society, Information Policy and its Strategic implications. Also This lecture concentrates on the local development cases(Saemaul Undong etc.) in Korea. | |||||||||
| GSP4004 | Information Policy and Policy Development: A Case Study on the Local Development in Korea | 3 | 6 | Major | Bachelor/Master | - | No | ||
| This lecture concentrates on the rapid developments in the telecommunications and information fields that play a major role in shaping future political, economic and human dimensions in the 21st century. The purpose of the seminar is to examine the main economic, political, cultural, legal and technical forces generated by Information and Knowledge Revolution, for which new e-Governance must be developed. In this teaching, we will discuss the theoretical as well as strategic dimensions of knowledge-based society. And we will concentrates on the local development cases in Korea. | |||||||||
| GSP4005 | Regional Economy and Financial Management | 3 | 6 | Major | Bachelor/Master | - | No | ||
| This course is intended to explore strategies and policies for regional development in the area of fiscal management and educate students to be a competent policy maker. Drawn from microeconomic perspectives on revenue and expenditure, we introduce relevent theories and analytic frameworks. The topics include Tiebout model, cost-effectiveness analysis, rent seeking, median voter model, economic development. | |||||||||
| GSP4006 | Sustainable Community Development | 3 | 6 | Major | Bachelor/Master | Korean | Yes | ||
| This course aims to provide an understanding of methods to activate local communities in a sustainable manner. Students will discuss the concept of community and the significance of assets within the community. They will acquire knowledge of the sustainability of communities, the process of community development, and the roles of relevant organizations in community development. Additionally, students will engage in discussions about the impact and roles of essential human, social, physical, financial, environmental, political, and cultural capital in community development. They will explore various cases related to these community assets and strategies for activating sustainable local communities. | |||||||||
| GSP4007 | Artificial Intelligence and Government | 3 | 6 | Major | Bachelor/Master | English | Yes | ||
| This course aims to develop practical and analytical competencies for applying artificial intelligence (AI) in public administration and public policy by introducing core AI concepts and technical foundations and examining their applications in government and the public sector. The first half covers fundamental machine learning and deep learning methods-including supervised and unsupervised learning, regularization models (Lasso, Elastic Net), decision trees and ensemble methods (Random Forest), neural networks, recurrent neural networks (RNN), and support vector machines (SVM)-while the second half focuses on empirical studies and policy cases illustrating how these algorithms are used in governmental operations, public services, regulation, policy evaluation, and policy areas such as welfare, labor, and health. Throughout the course, students will engage in discussions on key issues at the intersection of government and AI, including decision-support systems, administrative efficiency, policy targeting, predictive analytics using public data, and concerns related to algorithmic bias and accountability. | |||||||||
| GSP4008 | AI Governance and Government Innovation | 3 | 6 | Major | Bachelor/Master | English | Yes | ||
| The rapid expansion of digital transformation and artificial intelligence (AI) constitutes an epochal shift that is fundamentally reshaping the structure and functioning of contemporary society. Governments and public sector organizations are undergoing accelerated and comprehensive innovation in response to this transformation. This course aims to examine diverse cases of public sector–led digital innovation critically within this global context. Digital innovation in government extends beyond the adoption of new technologies to the transformation of governance mechanisms, including institutional structures, operating principles, and patterns of interaction among actors. The course analyzes major innovation cases to derive theoretical insights into how digital governance affects public sector coordination and performance. This analysis facilitates in-depth discussions on future policy directions and key challenges for government innovation. Particular attention is given to the rapid advancement of AI and its implications for governance, supported by practical case studies. Through comparative analysis of global examples—including initiatives by Korea’s central government, local governments, and public institutions—the course explores the impacts, spillover effects, and future trajectories of digital governance and public sector innovation. | |||||||||