KOREAN
CHINESE
Ph.D in Artificial Intelligence
Ph.D in Artificial Intelligence
The core technologies of the Fourth Industrial Revolution are AI and big data. Modern society requires new knowledge and skills due to the explosive growth of data and advancements in AI technology. The fields of AI and big data are driving innovation across various industries, leading to a surge in demand for specialized professionals. The establishment of this department aims to meet these societal needs and support students in becoming competitive talents by providing them with theories and practices based on the latest technologies.
Overview
- IntakeSpring & Fall
- Duration3 years
- Credits36
- TypeFull-time
- FormatOffline
- LanguageEnglish
What makes our program unique?
To achieve successful education centered on AI and big data in the current era, it is essential to harmonize theory and practice. The Department of AI and Big Data aims to cultivate in-depth research and practical skills in various fields, including data analysis, machine learning, and AI development. This program will not only provide theoretical education but also a practice-oriented curriculum that enables students to acquire the skills needed to solve real-world problems. Additionally, through collaboration with industry, we will offer field experience and create opportunities to apply research findings practically.
Structure
The program is divided into two parts: Common Required Courses and Major Elective Courses. Students are required to complete 36 credit hours, a comprehensive exam and a thesis to graduate.
| Credit Classification |
Credit Hours |
|---|---|
| Common Required | 12 |
| Major Elective | 24 |
| Thesis |
Curriculum
Common Required Courses
| Study Area | Course | Credits |
|---|---|---|
| Required | AI Research Methodology | 3 |
| AI Ethics | 3 | |
| Data Science | 3 | |
| Advanced Statistics | 3 |
Major Elective Courses
| Study Area | Course | Credits |
|---|---|---|
| Major Electives | Advanced Machine Learning | 3 |
| AI System Design (Evaluation) | 3 | |
| Advanced Natural Language Processing | 3 | |
| AI-Based Robotic Systems | 3 | |
| AI Project Management | 3 | |
| Deep Neural Networks (Deep Reinforcement Learning) | 3 | |
| AI and Law | 3 | |
| (Advanced) Data Mining | 3 | |
| Intelligent Systems | 3 | |
| Applications of Artificial Intelligence | 3 | |
| AI-Based Decision Making | 3 | |
| Data-Driven Decision Making | 3 | |
| Artificial Intelligence Optimization | 3 | |
| Intelligent Agents | 3 | |
| Multi-Agent Systems (Multimodal Learning) | 3 | |
| Social Media Analytics | 3 | |
| Intelligent Databases | 3 | |
| Cloud AI Solutions | 3 | |
| AI and Economics (Social Impact of AI) | 3 | |
| Algorithm Design | 3 | |
| Large Language Model | 3 |
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