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MS/PhD

For more details on the courses, please refer to the Course Catalog

교육과정
Code Course Title Credit Learning Time Division Degree Grade Note Language Availability
DBA5105 Research Methods and Skills in MIS 3 9 Major Master/Doctor - No
The current business environment characterized by business transformation and the human-machine co-eixtence has made the creation of new knowledge in the field of management information systems (MIS) more important than ever. In response, this course is designed for students who seek to be equipped with necessary knowledge to plan, carry out, and report scholarly works. Paying special attention to research in MIS, a wide range of research designs and methods will be introduced and their applications for MIS research projects will be discussed. While MIS shares fundamental foundations in its methodological approach with other disciplines in business, it has unique characteristics in terms of research subject and design in that it focuses on the impact of information technology and its business implications. Through lectures and tutorials, this course aims to equip research students in MIS with the necessary foundations and skills to perform their research project at a postgraduate level. Students will learn how to design a research project, how to collect and analyze data, research ethics, and how to write a scholarly article, systematically. Students will also learn how to use software applications for literature management and data collection and analysis, which will aid them in the development of their own methodologies. Intended Learning Outcomes 1. Identify the nature and the trends in MIS research 2. Understand the research designs and methodological approaches
DBA5106 Research Methodology in Management 3 6 Major Master/Doctor English Yes
Thisisagraduate-level seminarcourseintroducingvariousbasicresearchmethodologyusedinmanagementresearch.Topicsincluderesearchdesign for primary and secondary data and various analysis models,such asregressionanalysis,structuralequationanalysis,andsoon.
DBA5107 Cross Management and Current Issues in management 3 6 Major Master/Doctor Korean Yes
This course is designed to explore new research topics in the academic field of management, including strategic management, organizational behavior, organization theory, and human resource management by exposing students to new research. Specifically, as the business environment is radically changing, it is required to study how to reinterpret the exiting theories and literature, and how to reapply them to such hyper-competitive environment. This enables students to develop new research topics and make their research stream more fruitful.
DBA5108 Special topics in Industry and Customer 3 6 Major Master/Doctor 2-8 Korean Yes
Daniel Bell developed three constructs in the context of the history of economic civilization: Pre-Industrial; Industrial; and Post-Industrial. He describes Pre-industrial society as a game against nature while goods-producing industrial societies as a game against fabricated. A post-industrial society is about the delivery of service. It is a game between people. As we power into 21st century, it is clear that the trends identified by Daniel Bell are accelerating. We are seeing a new convergence of technology vectors including elastic cloud computing, big data, AI, and the IoT, the confluence of which leads us to the digital transformation across industries today. This course will walk through the examples digital transformation across industries to bring new insights and layers to our understanding of customers and employees, which are so-called “digital customer experience (DCX)” and “digital employee experience (DEX),” respectively. The course begins with the understanding of the concept digital transformation (DT) in comparisons with the disruptive innovation. Next, the new research agenda in a digital world and/or the metaverse which is surroundings where DT is taking place, will be discussed. With this basic understanding of the external environment, we examine the concepts and research issues in DCX and DEX along with the measurements and methodology in depth. After finishing this first half of the course, students will be asked to submit a research proposal in eit
DBA5109 Special Topics in Industry and Culture 3 6 Major Master/Doctor English Yes
Robots and artificial intelligence (AI) are not tethered to labs and factories anymore and becoming commonplace in many facets of everyday lives. This seminar discusses the changes that robotics and AI will bring to corporate management and work environments from industry and cultural perspectives. First, the managerial and socio-technical implications of robots and AI will be discussed by understanding the current trends in such technologies becoming teammates rather than tools in the workplaces. In doing so, changes in several aspects of work will be discussed, such as teamwork, work process, decision-making, creativity, and leadership. Second, the course will examine how robots and AI transform the relationships between customers and companies from cultural standpoints. This will review and analyze robots and AI depicted and discoursed in commercials and mass media.
DBA5110 Digital Transformation and Business Model Innovation 3 6 Major Master/Doctor 1-4 - No
As AI and the Fourth Industrial Revolution permeated every aspect of modern firm management, Digital Transformation (DX) has emerged as a major digital trend. DX is the application of new digital technologies such as social media, mobile technology, analytics, or embedded devices to enable significant business improvements such as improved customer experiences, streamlined operations, or new business models. As a result, DX has the potential to significantly improve a company's BM (Business Model) performance or reach. Companies that successfully implement DX become more competitive in innovating their existing BMs or BMI (business model innovation), and they survive more effectively in their target markets. As a result, we must understand how the DX can help companies innovate their BMs. To that end, the following objectives are provided in this course: First, students will study in depth the detailed methods, theories, and related mechanisms embedded in the DX processes. Second, students will be asked to comprehend a variety of methods related to how BMI activities should be conducted by leveraging the effects of DX. Contents of this course are primarily based on a number of articles and cases. This course's pedagogical methods include 1) lectures, 2) case studies, 3) team discussions, and 4) class presentations. This course will help students to realize how DX and BMI could dramatically re-engineer management operations and improve business competitiveness.
DBA5111 Cross Management Seminar on Intelligent Supply Chain Management 3 6 Major Master/Doctor 1-4 English Yes
As the COVID pandemic overwhelms businesses worldwide, the global supply chain or GSC has been broken in a relatively short period of time. Its harmful repercussions continue to cause a worldwide economic recession. Once, prior to the COVID pandemic era, it was believed that GSC was always stable and normal, which is known as "PS-GSC" (Predictable and Stable GSC). However, such a simplistic assumption has just been debunked, resulting in the creation of the phrase "HUU-GSC" (Highly Uncertain and Unstable GSC). Utilizing all available managerial resources, modern businesses now face a critical struggle for survival. This course offers the use of AI techniques and intelligent GSC approaches so that modern businesses may conduct strategic management activities more effectively and survive. The following are among the primary topics to be explored in this course: - Defining GSC and its current trends - Reasons for HUU-GSC and Companies’ Strategies for HUU-GSC - Methods for Intelligent GSC Management (GSCM) - Intelligent GSCM by using Management Science techniques - Intelligent GSCM by using Management Statistical techniques - Intelligent GSCM by using Digital Technologies - Intelligent GSCM by using AI Machine Learning techniques - Intelligent GSCM by using AI Deep Learning techniques In addition, this course's pedagogical methods include 1) lectures, 2) case studies, 3) team discussions, 4) class presentations, and 5) term project.
DBA5112 Practice, Science and Scientific Methods 3 6 Major Master/Doctor 1-4 English Yes
This course familiarizes students with the principles and techniques underlying research in social science, particularly in organizations. Special attention will be given to the practical problems of scientific relevance (or the distinction between science and practice) and scientific methods, including measurement, data collection, various data analysis techniques (e.g., regression analysis, panel data analyses, instrumental variable, natural experiment, difference-in-difference, regression discontinuity), and interpretation, for conducting research in organizational settings. The course content will primarily focus on quantitative methodologies rather than qualitative approaches. Students are expected to have a working knowledge of elementary inferential statistics and are at least concurrently enrolled in a graduate-level course covering topics such as ANOVA and multiple regression.
DBA5113 AI Algorithm and Management 3 6 Major Master/Doctor - No
In the wake of the COVID-19 pandemic, there has been a dramatic transformation in the workplace. There has been a huge increase in the number of businesses around the world that use AAM (Artificial Intelligence Algorithm) to manage staff workloads and productivity. Most companies have already used AAM across their whole corporate business process with great success. For instance, more and more companies are using AAM-powered interviews to find and hire the best candidates for open positions. Furthermore, AAM is being increasingly used by companies to select promotion candidates based on real-time analysis of employee performance. In addition to using AAM to assign appropriate tasks in real time, organizations can continue to track an employee's performance in real time even after a work has been completed. In addition, AAM was used to formulate and execute business plans in the fields of marketing, production, finance, etc. As a result, AAM has become an integral part of the AI-based digital revolution taking place in today's businesses. Despite the fact that AAM is behind this major shift, there have been no formal lectures about how it might improve the efficiency of business operations. This course can significantly contribute to students' future professional development and advancement as more competent decision makers in a corporate environment driven by AAM. The results that can be expected from taking this course are as follows.
DBA5114 Special topics in Business Process Management and Machine learning 3 6 Major Master/Doctor 1-4 English Yes
Business process management, or BPM, aims to maintain corporate competitiveness by managing corporate management procedures so they may actively respond to changes in market conditions. Businesses need to adopt AI machine learning techniques in BPM to be competitive because the industry is changing swiftly and there is more rivalry than ever. Machine learning (ML) is responsible for a significant amount of the current achievements in artificial intelligence (AI). Machine learning can be broadly classified into two categories: single-label and ensemble approaches. Support Vector Machine (SVM), Neural Network (NN), Decision Tree (DT), Logistic Regression (LR), and Nave Bayesian Network (NBN) are among the single-label techniques. Ensemble techniques encompass a wide range of algorithms, such as Ada Boost (AB), Stacking (ST), Random Forest (RF), Bagging (BA), and Rotation of Forest (RoF). Furthermore, in the realm of natural language processing, deep learning techniques like Attention, Transformer, and BERT have gained popularity recently. CNN, LSTM, and RNN are a few examples of deep learning approaches that have grown in popularity. These advances in AI have demonstrated remarkable reasoning abilities. It currently demonstrates reasoning and problem-solving abilities that are superior to those of seasoned specialists with a high degree of experience and sophisticated BPM problem-solving capacity. It has proven to be successful and proficient in every area of modern BPM.
DBA5115 Special topics in AI Digital agent and management 3 6 Major Master/Doctor 1-4 English Yes
Following OpenAI's November 2022 launch of ChatGPT, business leaders have begun implementing "digital agents" or intelligent chatbots after realizing the profound impact these artificial intelligence (AI) tools have on organizational management. These chatbots are actively being used to improve the effectiveness of management. Using LLM (Large Language Model) technology, which leverages the capabilities of generative AI, or GAI, ChatGP is a digital agent. The aim of this course is to provide students with an understanding of the approaches and applications of artificially intelligent digital agents in order to handle decision-making difficulties in management and improve management efficacy in general. The aims and objectives of the course can be summed up as follows. With a focus on digital innovation, marketing, human resource management, finance, and accounting management, this course intends to give students a grasp of the training process for AI digital agents. The practical implementation of management practice procedures, or MLOPs (Machine Learning Operations), will be the main emphasis of the course. - The process of building chatbots using sLLM (small LLM) technology and pre-existing legacy databases will be taught to students. This strategy has become increasingly popular in multinational companies as a result of ChatGPT's outstanding accomplishments. - Students will also look at examples and noteworthy cases that show improved managerial efficacy.
FIT4001 FinTech Startups and Venture Financing 3 6 Major Bachelor/Master 3-4 FinTech - No
This is a course in FinTech Startups and Venture Financing for FinTech master or undergraduate students in business major. Students can learn how to develop business models in fintech area and how to raise capital from venture capital to grow fintech start-ups.
FIT4002 FinTech and Financial Law Practice 3 6 Major Bachelor/Master 1-4 FinTech Korean Yes
This course aims to help those students who seek to establish FinTech startup companies or engage in FinTech business, and the students are able to learn legal and regulatory issues and practices in the FinTech business and industry.
FIT4003 Financial Derivatives 3 6 Major Bachelor/Master 1-3 FinTech Korean Yes
The objective of this course is to introduce key building blocks of financial derivatives to FinTech-oriented students. By combining analytical models with numerical examples, exercises, and case studies, the course emphasizes practical applications of financial engineering tools. Main topics cover various aspects of forward contracts, futures, options and swaps. The course will focus on hedging and pricing of financial derivatives.
FIT5001 Python Programming 3 6 Major Master/Doctor FinTech Korean Yes
This is a basic course in python programming for FinTech Master or Ph.D. program. Today business professionals require basic knowledge of algorithms concepts and computer programming. These two concepts differ in their scope. An algorithm refers to a set of instructions to be followed to solve a problem. A computer program is as a set of instructions that a computer must follow. The aim of this course is to learn how to define algorithms and to use computer programs to implement them. This course will allow business students not only to communicate with computer science professionals and engineers but also to play an active role in the development of new digital products. The basic knowledge of Python programming is required. We discuss using algorithms and computer programming to solve problems in a business environment. The course consists of three modules. First, we discuss how to define a business problem and the requirements for its solution. Second, we review the principles and fundamental concepts of algorithms. Third, we use Python to translate a generic algorithm to a computer program. This will cover the software development basic cycle.