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Graduate Studies
A PhD/Master’s in Management is a postgraduate program that provides advanced general management knowledge for students from diverse backgrounds, both cultural and academic, wishing to gain a general management education.
For students wishing to launch their career in management, this program will give you a foundation in the fundamentals of managing people and organizations within real-world environments.
The degree addresses the challenges and opportunities facing organizations in all industries.
In addition to the core management competencies, participants develop personal and professional skills in the areas of research, communication, teamwork and leadership. You’ll combine extensive academic research skills with the students own practical skills and personal interest to explore new industries and opportunities. You’ll gain functional understanding, professional presence, and an international network that supports your career.
The PhD/Master’s in Management degree is suited for career-driven individuals with an undergraduate degree who are seeking additional management credentials.
The Master and Doctorate programs at Endicott College of International Studies have been structured to provide a unique blend of strong conceptual foundations and practical skills. Students will be prepared to become well-rounded team players with cross-cultural competencies and a global perspective. Students may specialize in Global Management (Masters or Doctorate), International Studies (Masters) or Artificial Intelligence (Masters - Spring 2020).
MS in International Business Management
The Master of Science in International Business Management degree program is designed specifically for non-business majors who want to excel in today’s marketplace and builds on the skills and knowledge gained in your undergraduate studies preparing you for a broad range of fields and careers. This degree prepares you for leadership roles in both public and private sector organizations. With this degree, graduates will find a wide array of career opportunities in a diverse field of industries. 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.
In this program you will gain a solid grounding in management and research theory and practice through foundational subjects, including economics, strategy, marketing, organizational behavior, and management. Students will develop a strong background in research fundamentals in order to complete a research thesis or comprehensive examination.
Through the master’s degree in the field of global management you:
- Study the core elements of management knowledge and skill, including human resource management, organizational behavior and development, analytics, leadership, and change management.
- Gain insight into the latest management theories and practices through case studies, instructor lectures, group projects, and active learning experiences.
The International Business Management Master’s program is divided in three parts: Core, Departmental, and Specialization courses. Students who elect the thesis option are required to complete 24 credit hours (9 credits in Common Core courses and 15 credits in Combined Specialization &Departmental courses). Those electing the non-thesis option must complete 27 credit hours (9 credits in Common Core courses and 18 in Combined Specialization &Departmental courses). The degree may be completed within three or four semesters. Students are required to achieve a cumulative GPA of 3.0 or higher to graduate.
The components of the curriculum are:
| Classification | Courses | Credits/Hours |
|---|---|---|
| Core Courses (Mandatory) |
Organization Management | 3/3 |
| The Fourth Industrial Revolution and Application of Software | 3/3 | |
| Introduction to Research Methodology | 3/3 | |
| Department Courses | Economics | 3/3 |
| Human Resource Management | 3/3 | |
| Marketing Strategy | 3/3 | |
| Financial Management | 3/3 | |
| Specialization Courses | Special Topics in Applied Research (Capstone) | 3/3 |
| Special Topics in Digital Economy (Case Study) | 3/3 | |
| Special Topics in Advanced Technology | 3/3 | |
| Thesis Research | 3/3 |
MA in Global and Human Studies
As the world globalizes and digitalizes, there are a growing number of complicated issues that future leaders need to understand and address. Global and Human Studies online program focuses on providing an opportunity for future leaders to get to know about current global and human related issues in our society and learn by interacting with students and faculty from various regions in an online setting, without having physical space and time limitations. This online course will utilize high quality online class materials recorded by a global level of thoughts leaders and scholars, facilitator faculty will lead various discussion sessions and workshops so that students can digest in-depth knowledge and learn various perspectives resulting in developing their own views on each topic.
The interdisciplinary nature of the program emphasizes a broad understanding of global issues, philosophical perspectives, leadership and management strategies. It highlights diverse cultural, social and international cooperation in areas such as sustainability, economics, trade, politics and human behavior, preparing graduates for leadership roles in an ever-growing globalized world.
The duration of this program is 1 year (4 semesters) and it is divided into two parts: common required courses and elective courses. The program is made up of a total of 9 courses, totaling 27 credits. There is also a requirement to submit a research paper in the final semester; see the course/credit breakdown below.
Curriculum table
| Classification | Courses | Credits/Hours |
|---|---|---|
| Required | Global Citizenship and Sustainable Development | 3/3 |
| Global Flows | 3/3 | |
| Histories and Practices of Development | 3/3 | |
| International Cooperation | 3/3 | |
| International Trade, Finance and Management | 3/3 | |
| Building Personal Resilience | 3/3 | |
| Elective | Management: The Survival Strategy | 3/3 |
| Economics in International Affairs | 3/3 | |
| Global Leadership via Arts-related World Leaders | 3/3 | |
| The Philosophy of Living | 3/3 |
Course inquiries : Program Coordinator, Dr. Liz White
elizabethwhite@woosong.org
MS in Artificial Intelligence
Artificial Intelligence (AI) and big data analytics are widely recognized as core technologies of Industry 4.0, creating strong global demand for skilled AI professionals. In response, Endicott College of International Studies (ECIS), Woosong University offers the Master of Science in Artificial Intelligence, designed to develop advanced knowledge and practical expertise in modern AI systems.
The program provides a balanced curriculum combining university-required courses (including Ethical AI / Decision-Making, Principles of AI, and Generative AI for Business) with specialized graduate training in deep learning, NLP, computer vision, multi-agent systems, reinforcement learning, and large language models (LLMs).
Courses are organized by semester, and only a limited number of courses are opened each semester depending on demand and academic scheduling. Therefore, students do not need to register for all courses at the same time.
| Credit type | Semester | Name of the Course | Credits |
|---|---|---|---|
| University Required Courses | Every Semester | Ethical AI / Decision-Making | 3 |
| Principles of AI | 3 | ||
| Generative AI for Business | 3 | ||
| Department Required Courses | 1st semester | Computer Vision | 3 |
| Data Analysis | 3 | ||
| Neural Network Architectures | 3 | ||
| Cloud AI Solutions | 3 | ||
| 2nd semester | Deep Learning | 3 | |
| Advanced Statistics | 3 | ||
| Multi-Agent Systems | 3 | ||
| Natural Language Processing | 3 | ||
| 3rd semester | Capstone Project | 3 | |
| Robotics | 3 | ||
| AI-Based Data Mining | 3 | ||
| Reinforcement Learning | 3 | ||
| 4th semester | Large Language Model | 3 | |
| AI System Design | 3 | ||
| Thesis Research | 3 | ||
| Social Media Analytics | 3 | ||
| AI and Law | 3 |
*Courses are offered on a semester basis. In each semester, only a limited number of courses are opened, depending on demand and other practical considerations. As a result, students are not required to register for all courses at the same time.
Course Inquiries : Dr. Hasan Tinmaz, Program Coordinator of the AI Master’s and PhD Programs
htinmaz@endicott.ac.kr
Doctor of Philosophy in Management
The Doctor of Philosophy in Management degree program is designed for advanced degree graduates by combining rigorous research training with the skills and knowledge to address meaningful problems facing consumers, employees, managers, organizations and industries. Doctoral students take a series of PhD-level courses that provide an overview of theory and research across the entire field of management.
This program is designed specifically for non-business majors with a Master’s degree who want to excel in today’s marketplace and builds on the skills and knowledge gained in your undergraduate studies preparing you for a broad range of fields and careers. This degree prepares you for leadership roles in both public and private sector organizations. With this degree, graduates will find a wide array of career opportunities in a diverse field of industries. 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.
In this program you will gain a solid grounding in management and research theory and practice through foundational subjects, including economics, strategy, marketing, organizational behavior, and management. Students will develop a strong background in research fundamentals order to complete a research thesis or comprehensive examination.
Through the Doctorate degree in the field of management you:
- Study the core elements of management knowledge and skill, including human resource management, organizational behavior and development, analytics, leadership, and change management.
- Gain insight into the latest management theories and practices through case studies, instructor lectures, group projects, and active learning experiences.
The Doctorate program in Management is also divided in three parts: Core, Specialization, and Departmental. Students are required to complete 36 credit hours including a thesis (9 credits in Common Core and 27 credits in combined Specialization &Departmental courses). Each Doctorate candidate should achieve a cumulative GPA of 3.0 or higher in order to graduate. The degree may be completed within five or six semesters.
The components of the curriculum are:
| Classification | Courses | Credits/Hours |
|---|---|---|
| Core Courses (Choose minimum of 3) |
Organization Management | 3/3 |
| Statistics for Decision making | 3/3 | |
| Qualitative Methodology | 3/3 | |
| Quantitative Methodology | 3/3 | |
| Introduction to Research Methodology | 3/3 | |
| Department Courses | Economics | 3/3 |
| Human Resource Management | 3/3 | |
| Marketing Strategy | 3/3 | |
| Financial Management | 3/3 | |
| Global Leadership | 3/3 | |
| Specialization Courses | Special Topics in Overseas Regional Study (case study) | 3/3 |
| Special Topics in Management in Industry 4.0 (case study) | 3/3 | |
| Special Topics in Applied Research (Capstone) | 3/3 | |
| Special Topics in Digital Economy (Capstone) | 3/3 | |
| Special Topics in Advanced Technology | 3/3 | |
| Thesis Research | 3/3 |
PhD of Science in Artificial Intelligence
Artificial Intelligence (AI) is transforming industries and society, creating an urgent need for advanced research and innovation. The PhD of Science in Artificial Intelligence at Endicott College of International Studies (ECIS), Woosong University is designed to develop high-level researchers and future academic and industry leaders who can contribute original research to emerging AI fields.
The program combines university-required courses offered every semester (such as Ethical AI / Decision-Making, Principles of AI, and Generative AI for Business) with an advanced sequence of departmental courses covering key areas including AI research methodology, advanced machine learning, intelligent databases, deep neural networks (deep reinforcement learning), large language models (LLMs), multimodal learning, optimization, and AI system evaluation and design.
Courses are organized by semester, and only a limited number of courses are opened each semester depending on demand and academic scheduling. Therefore, students do not need to register for all courses at the same time.
| Credit type | Semester | Name of the Course | Credits |
|---|---|---|---|
| University Required Courses | Every Semester | Ethical AI / Decision-Making | 3 |
| Principles of AI | 3 | ||
| Generative AI for Business | 3 | ||
| Department Required Courses | 1st semester | AI Research Methodology | 3 |
| Applications of Artificial Intelligence | 3 | ||
| Advanced Natural Language Processing | 3 | ||
| Intelligent Systems | 3 | ||
| 2nd semester | Advanced Statistics | 3 | |
| AI-Based Decision Making | 3 | ||
| Intelligent Databases | 3 | ||
| Advanced Machine Learning | 3 | ||
| 3rd semester | Data Science | 3 | |
| Algorithm Design | 3 | ||
| Cloud AI Solutions | 3 | ||
| Deep Neural Networks (Deep Reinforcement Learning) | 3 | ||
| 4th semester | AI Project Management | 3 | |
| AI and Economics (Social Impact of AI) | 3 | ||
| Data-Driven Decision Making | 3 | ||
| AI-Based Robotic Systems | 3 | ||
| 5th semester | AI and Law | 3 | |
| Large Language Model | 3 | ||
| Social Media Analytics | 3 | ||
| AI System Design (Evaluation) | 3 | ||
| 6th semester | (Advanced) Data Mining | 3 | |
| Artificial Intelligence Optimization | 3 | ||
| Multi-Agent Systems (Multimodal Learning) | 3 | ||
| Thesis Research | 3 |
*Courses are offered on a semester basis. In each semester, only a limited number of courses are opened, depending on demand and other practical considerations. As a result, students are not required to register for all courses at the same time.
Course Inquiries : Dr. Hasan Tinmaz, Program Coordinator of the AI Master’s and PhD Programs
htinmaz@endicott.ac.kr


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