Introduction

The department of global Big Data Artificial Intelligence in the Division (School) of Smart Medical Informatics is advancing the development of new technologies by integrating various innovative technologies. In particular, it cultivates experts in artificial intelligence-based software, which can bring innovation to human life, especially in the era of the Fourth Industrial Revolution as well as experts in big data analysis, a key component of AI technology.In addition, the department of global Big Data Artificial Intelligence seeks to break down the boundaries between the disciplines of humanities and natural sciences, aiming to establish an educational system where anyone can easily learn and utilize the capabilities of artificial intelligence technology. In particular, by providing fundamental and core education in artificial intelligence to cultivate key professionals who can grow into big data experts in various fields, including the medical field, students will acquire applied knowledge in areas such as healthcare, robotics, security, and communications. The program aims to produce talents with the ability to actively respond to the societal demands and technological changes of the AI era, equipped with the understanding and problem-solving skills necessary for this purpose.

Educational Goals

There is a growing demand for systematic educational programs to train experts who are capable of collecting, analyzing, and processing the overwhelming data in various industrial fields. Through specialized education in IoT, artificial intelligence, u-Healthcare, and big data processing, the program aims to foster creative talents with innovative convergence capabilities in the field of big data artificial intelligence industry. The program aims to cultivate talents capable of multidisciplinary convergence research based on medical IT knowledge and leading AI-based big data technology, fostering creative individuals who can lead advanced core technologies and create new value through convergence.

Career Path after Graduation

Public institutions related to domestic and international data collection, processing, analysis, utilization, storage, and management fields, the autonomous driving-related automotive industries, autonomous navigation-related aviation industries, robotics-related companies, medical device design, data analysis, search engine research, medical image recognition, as well as other fields including medical robotics and bio data analysis.

FAQ

Q1. What do we learn in our major?

In our major, you will learn medical terminology to understand the medical field, as well as Hospital Information System (HIS) covering EMR/OCS and systems applied in healthcare. Additionally, you will study artificial intelligence and big data processing in the field of computer science to effectively handle and analyze big data, along with sensor fusing technology for data collection and IoT platform-based technology.

Q2. What is the career path after majoring in Big Data Artificial Intelligence?

Major career industry includes in AI companies such as Naver, Daum, Kakao, Samsung Electronics, SKT, and KT, as well as overseas companies like Google, Amazon, and Facebook. Additionally, job opportunities are available in the fields related to data collection, processing, analysis, utilization, storage, and management, public institutions, precision medical-based genomic research in the healthcare information utilization sector, AI-based new drug candidate analysis research, medical device design, data analysis and processing search engine research, medical imaging (PACS) recognition, data visualization for dashboard design, and other fields such as medical robotics and bio data analysis.

Q3. Is it difficult to study for transferred students from the humanities to the natural sciences?

Additional effort or time may be required for the acquisition of mathematics or programming skills. However, the field of Big Data Artificial Intelligence is highly diverse and complex, necessitating the convergence of various knowledge and skills. Through interdisciplinary application, acquiring knowledge from different fields enables the ability to approach problems from multiple perspectives and develop effective solutions.