KOREAN
CHINESE
Master’s in AI Business Management
Master’s in AI Business Management
The Master of Science in AI Business Management is designed for the leaders of tomorrow who want to excel in today’s marketplace. In this program you build on the skills and knowledge gained in your undergraduate studies preparing you for a broad range of fields and careers in both public and private sectors. Students develop a strong background in research fundamentals in order to complete a research thesis or comprehensive examination. Program graduates may qualify for managerial promotion opportunities within their existing job or may transition from a technical/engineering position to an advanced management position.
Overview
- IntakeSpring & Fall
- Duration2 years
- Credits27
- TypeFull-time
- FormatOffline
- LanguageEnglish
What makes our program unique?
Students gain an understanding of research theory and solidify their knowledge in management and practice through foundational subjects, including economics, strategy, marketing, organizational behavior, and management. Faculty provide insight into the latest management theories and best practices through case studies, group projects, lectures, and active learning experiences. Our program provides graduates with relevant skills that are in demand by employers and will set you up for success.
Structure
The Master’s program is divided into three parts: Core, Major Required, and Major Elective. The degree may be completed within two years and has an optional thesis component. Those electing the non-thesis option must complete 27 credits and a comprehensive exam to graduate. Students who elect the thesis option are required to complete 24 credits and a thesis course; see the credit breakdown below.
| Credit Classification |
Thesis | Non-thesis |
|---|---|---|
| Core | 9 | 9 |
| Major Required | 6 | 6 |
| Major Elective | 3 | 6 |
| General Elective* | 6 | 6 |
| Thesis |
* General Elective credits are any additional credits that can be earned in any category (Core, Major Required, or Major Elective)
Students are required to achieve a cumulative GPA of 3.0 or higher to graduate.
2026 Curriculum
| Study Area | Course | Credits |
|---|---|---|
| Common Required Course |
AI Literacy ▼
Course Description
This course aims to develop an understanding of the concepts, principles, and applications of AI and generative AI, foster critical thinking about the social impacts and ethical issues of AI, and cultivate the ability to solve problems and express ideas creatively using AI. |
3 |
| Generative AI & AI Programming ▼
Course Description
This course focuses on understanding the concepts of artificial intelligence, machine learning, deep learning, and generative AI. Students learn the basics of Scratch programming and develop AI programming skills using IBM’s Machine Learning for Kids platform to apply generative AI. |
3 | |
| Business Administration Studies ▼
Course Description
This course explores core theories of business administration and key issues in the contemporary business environment in depth. Students examine research trends across various fields such as organization, strategy, marketing, finance, and operations management, critically analyze major academic papers, and develop research capabilities to explain managerial problems through theoretical and empirical approaches. |
3 | |
| Major Elective Course |
Economics Studies ▼
Course Description
This course examines theoretical and empirical approaches to analyzing economic phenomena based on core concepts of microeconomics and macroeconomics. Through economic data interpretation, policy analysis, and market structure evaluation, students gain an understanding of key research methods in economics and enhance problem-solving skills. |
3 |
| Human Resource Management Studies ▼
Course Description
This course studies major theories and the latest trends in human resource management within organizations. It critically analyzes recruitment, training, performance evaluation, compensation, and organizational culture, and develops research capabilities for talent management strategies and organizational performance improvement. |
3 | |
| AI Marketing Strategy Studies ▼
Course Description
This course examines the impact of AI technologies on marketing strategy development and customer experience innovation. Students learn generative AI-based marketing planning, customer data analysis, and personalization strategies, and strengthen AI marketing competencies through real-world case analyses. |
3 | |
| Financial & Managerial Accounting Studies ▼
Course Description
This course covers core concepts and analytical methods of financial and managerial accounting, and examines their role in supporting managerial decision-making through financial statement analysis. Students develop the ability to formulate management strategies using accounting information such as financial performance evaluation, cost and budget management, and investment analysis. |
3 | |
| International Business Seminar ▼
Course Description
This course provides an in-depth exploration of strategic and organizational issues arising in the global business environment. Through case-based analysis of multinational enterprise strategies, global market entry, international negotiations, and management challenges stemming from cultural differences, students strengthen their expertise in international business. |
3 | |
| Studies on AI Automation Tools & Applications ▼
Course Description
This course focuses on learning the concepts and applications of various AI-based automation tools (such as RPA, generative AI, and workflow automation platforms) through case studies. It analyzes business process innovation, productivity enhancement, and automation process design to cultivate practical AI application skills. |
3 | |
| AI Management Information Systems ▼
Course Description
This course examines the structure and role of AI-integrated Management Information Systems (MIS) and studies data-driven decision-making processes. Topics include information system development, data analysis, and digital transformation strategies, fostering capabilities for AI-driven management innovation. |
3 | |
| AI-based Business Strategy Analysis ▼
Course Description
This course comprehensively analyzes corporate business strategies using generative AI and data analysis techniques. It covers industry structure analysis, competitive strategies, and business model innovation cases, and cultivates the ability to apply AI-based strategic decision-making. |
3 | |
| AI Capstone Project 1 ▼
Course Description
This course strengthens practical, integrated skills through problem-solving projects using AI technologies. Students experience topic selection, data collection, model design, and prototype development, while developing teamwork and AI-based solution development capabilities. |
3 | |
| Thesis Research ▼
Course Description
This course provides practical guidance throughout the entire research process, from selecting a research topic, theoretical exploration, research design, data analysis, to thesis writing. Students conduct original research based on academic research methodologies and develop the skills necessary for journal submission. |
3 | |
| Analysis of Railway Management Research ▼
Course Description
The modern railway management environment emphasizes creative and convergent management, requiring managers and employees to develop new response models. This course adopts a practical, problem-solving case-based approach to help students integrate their knowledge and present creative management analyses and marketing solutions. |
3 | |
| A Case Study on Railway Management ▼
Course Description
Students analyze the current status and characteristics of railway operators, examining the strengths and weaknesses of central public enterprises, local public enterprises, and private operators, to understand the overall railway management system. |
3 | |
| Case Study for Advanced Railroad Marketing ▼
Course Description
The railway industry, as a sector producing new added value, must operate in a consumer-centered market by developing, producing, and selling products according to diverse consumer needs. This course focuses on the necessity of railway marketing, customer-oriented systems, fare policies, service enhancement, discovering customer-centered services, and developing railway marketing products. Case studies from advanced countries are also included for strategy development. |
3 | |
| Railroad Logistics Research ▼
Course Description
This course examines the current status and challenges of domestic and international railway logistics and explores its development directions. Students study the characteristics and significance of railway logistics, compare its cost-effectiveness with road transport, and focus on promising areas such as container logistics. International examples include Japan, China, Russia, and the Netherlands, highlighting lessons for domestic railway development. |
3 | |
| Railroad Systems Research ▼
Course Description
Railways are integrated systems combining planning, mechanical, electrical, electronic, and civil engineering technologies. This course teaches a systemic understanding of railway components. Through comprehensive understanding, students develop foundational expertise and a creative, development-oriented mindset to nurture future global railway professionals. |
3 | |
| Railroad Strategy ▼
Course Description
Students learn about overall railway planning and strategy, examining current theoretical issues to develop practical problem-solving approaches for railway strategy. |
3 | |
| Railroad Policy Research ▼
Course Description
This course reviews the evolution of Korea’s transportation policies and the role of railway policy. It analyzes changes since the 1960s, focusing on railway investment, privatization, and operational efficiency, comparing with international cases such as Japan and the UK, as well as methods for estimating railway benefits and technology strategies for efficiency, drawing implications for Korea. |
3 | |
| Railroad Analytical Method ▼
Course Description
This course aims to teach various analytical methodologies in railway transportation research. Students learn efficient data collection and management for decision-making, understand analysis processes, and review modern analytical techniques for scientific data analysis. Practical projects using AI technologies further enhance problem-solving skills, including topic selection, data collection, model design, prototype development, teamwork, and AI-based solution implementation. |
3 | |
| Railroad Creativity Research ▼
Course Description
This course develops the ability and attitude to plan research for a thesis, review related literature, collect research data, conduct experiments or analyze content, interpret results, and write a research paper. It equips students with academic research skills, thesis-writing techniques, and the ability to present and communicate research findings effectively. |
3 | |
| Advanced Seminar on Tourism Research Method ▼
Course Description
This course pursues an in-depth exploration of research methodologies that form the foundation of tourism management studies as a social science. |
3 | |
| Tourism Trend Analysis & Case Studies ▼
Course Description
Students collect and examine data on trends in the tourism sector and analyze it to study contemporary tourism cases. |
3 | |
| Advanced Seminar for Tourism Marketing Strategy & Case Studies ▼
Course Description
This course investigates successful marketing strategies of various domestic and international tourism-related companies and organizations, aiming to integrate practical knowledge with theoretical understanding. |
3 | |
| Advanced Seminar for Hotel & Resort Business Management and Project Studies ▼
Course Description
This course covers the theory and practice of hotel and resort management strategies and marketing. Students create and present practical outputs based on various project cases in the hotel and tourism industry. |
3 | |
| Hotel & Tourism Strategy Management and Project Studies ▼
Course Description
Based on diverse project cases in the hotel and tourism sector, students develop practical outputs and presentations, learning and enhancing their practical management skills. |
3 | |
| Advanced Event & Convention Management ▼
Course Description
This course provides theoretical approaches to event and convention management, cultivating multidimensional management and marketing capabilities. |
3 | |
| Hotel Management Analysis ▼
Course Description
Students learn the functions and interrelationships of various hotel departments, understand overall hotel operations, and study the development, operation, and management of hotel products, analyzing and researching hotel sales and management capabilities. |
3 | |
| Tourism Management Analysis ▼
Course Description
This course provides an understanding of tourism as a social science, reviewing the components of tourism centers and attractions, and analyzing the social, cultural, environmental, and economic impacts of tourism. Students apply marketing concepts to the tourism industry, understand tourism-related organizations, and study industry trends and future developments. |
3 | |
| Tourism Management Comprehensive Research ▼
Course Description
This course covers theoretical review, research planning, data collection, analysis, and organization for tourism-related papers. Students develop skills in thesis writing and management strategy analysis. |
3 | |
| Business Korean Language I ▼
Course Description
This course aims to progressively improve Korean communication skills required in business environments. Students systematically learn from basic business expressions to intermediate practical activities such as meetings, emails, and report writing, and advance to high-level business communication including presentations, negotiations, and discussions, gaining the ability to use Korean professionally and effectively in real-world business situations. |
3 | |
| Business Korean Language II ▼
Course Description
This course aims to progressively improve Korean communication skills required in business environments. Students systematically learn from basic business expressions to intermediate practical activities such as meetings, emails, and report writing, and advance to high-level business communication including presentations, negotiations, and discussions, gaining the ability to use Korean professionally and effectively in real-world business situations. |
3 | |
| Business Korean Language III ▼
Course Description
This course aims to progressively improve Korean communication skills required in business environments. Students systematically learn from basic business expressions to intermediate practical activities such as meetings, emails, and report writing, and advance to high-level business communication including presentations, negotiations, and discussions, gaining the ability to use Korean professionally and effectively in real-world business situations. |
3 | |
| Business Korean Language IV ▼
Course Description
This course aims to progressively improve Korean communication skills required in business environments. Students systematically learn from basic business expressions to intermediate practical activities such as meetings, emails, and report writing, and advance to high-level business communication including presentations, negotiations, and discussions, gaining the ability to use Korean professionally and effectively in real-world business situations. |
3 |
Connect with Woosong
Contact Us
Get in touch with our team