Department of Artificial Intelligence and Biomedical Engineering
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address
(14662) D212, Dasol Hall, 43, Jibong-ro, Bucheon-si, Gyeonggi-do, Republic of Korea -
hours of operation
9:00 am-5:00 pm (lunch 12:00-1:00 pm) -
tel
+82 2 2164 4991 -
e-mail
bmce@catholic.ac.kr
About the Department
The Department of Artificial Intelligence and Biomedical Engineering is a new advanced academic department scheduled to launch in 2026. It is built on the infrastructure of the Catholic Medical Center, the largest medical network in Korea, comprising eight affiliated hospitals. The department aims to cultivate next-generation experts by integrating AI technologies with biomedical engineering expertise. The curriculum is designed to meet the growing demand for AI-based advanced medical technologies, including intelligent medical imaging systems, advanced neuroengineering, bioinformatics, biochips, medical-grade advanced materials, robotics, and sensor-based digital diagnostic and therapeutic technologies. Through a specialized and structured program, the department nurtures future-oriented, human-centered engineers who possess convergence thinking, problem-solving skills, and collaborative competencies across ICT and biomedical fields—key traits in the era of the Fourth Industrial Revolution.
Curriculum
| Year 1 | Computer and Programming 1/2, General Physics and Lab 1/2, General Biology 1/2, General Biology Lab 1/2, Foundational Mathematics for AI, Introduction to AI Biomedical Engineering |
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| Year 2 | Object-Oriented Programming, Introduction to Healthcare Instrumentation, Signals and Systems, Probability and Statistics, Digital Signal Processing, Machine Learning, Healthcare Statistics, Data Analysis and Visualization, Engineering Mathematics 1/2 |
| Year 3 | Medical Image Processing, Deep Learning, Biochips and Sensors, Artificial Intelligence, AI-Based Medical Device Design, Nanobiotechnology, 3D Bioprinting and Lab, Smart Biomaterials, BioMEMS and Semiconductor Processes |
| Year 4 | Bioimage Processing, Biosignal Processing, Neuroengineering, AI Analysis of Biomaterials, Neuroscience, Clinical Research Methodology, Smart Management Systems for Medical Devices, Regulatory Science, AI-BME Capstone Design 1/2 |
About the Featured Courses
Year 1 │ Computer and Programming 1/2
This course introduces foundational knowledge of artificial intelligence and programming languages (Python, C++) suitable for developing AI applications.
Year 2 │ Introduction to Healthcare Instrumentation
Students learn the principles behind biological signals generated by the human body and gain basic knowledge in sensor technology, circuit design, and signal processing for measuring and analyzing such signals.
Year 3 │ AI-Based Medical Device Design
This project-based course covers the full process of developing AI-powered medical devices, including design principles, integration of hardware and software, prototyping, and addressing clinical needs.
Year 4 │ AI Analysis of Biomaterials
Students quantitatively analyze properties of biomaterials—such as mechanical behavior, biocompatibility, and functionality—using AI-based analytics. The course covers development, evaluation, and optimization of biomaterials through AI.
Department Activities
1) AI-BME Frontier Symposium
An annual flagship event where students present and share the latest research outcomes in digital healthcare and biomedical engineering. Faculty and industry experts provide in-depth feedback, helping students enhance their research skills and deepen their academic knowledge.
2) AI-BME Industry Field Exploration Program
Students visit advanced medical device companies and research institutions to observe firsthand the industrial processes involved in design, development, optimization, and R&D. These experiences enhance practical understanding and help students define their career paths.
3) Global AI-BME Career & Insight Forum
This is a special lecture and mentoring program that invites professionals and industry practitioners currently active in cutting-edge biomedical engineering fields. Employees from companies specializing in AI and biomedical engineering share firsthand insights from the field and offer practical strategies for job preparation, helping students explore a wide range of career paths available after graduation. Through this seminar, students gain clarity in their career planning and have an opportunity to enhance their competitiveness in the job market.
Career Opportunities After Graduation
| Academia & Research | Graduate studies in AI or biomedical engineering in Korea or abroad; researcher positions at medical research institutes and government-funded institutions |
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| Corporate Sector | Big tech companies specializing in digital healthcare; major corporations and professional medical equipment companies specialized in medical device development and medical equipment; industries related to electronics, biotechnology, electrical engineering, and computer technology |
| Institutions & Organizations | Researchers at university hospitals or tertiary care hospitals; inspectors or quality assurance professionals for medical device safety |
| Professional Careers | R&D researchers at government agencies (e.g., Ministry of Food and Drug Safety); health information managers or medical data analysts; university pro/td> |
| Others | Founders of digital healthcare startups, etc. |
Certifications Available
Clinical Engineer, Medical Electronics Technician, Medical Device Regulatory Affairs Specialist, Big Data Analyst, Certified Data Analysis Professional
Ideal Candidate Profile
1) Creative individuals with a multidisciplinary mindset
2) Ethical professionals who value human life and dignity
3) Globally aware individuals with strong collaboration skills
Recommended High School Subjects
| General Elective Courses | Mathematics I, Mathematics II, Calculus, Probability and Statistics, Physics I, Life Science I, Health, Information Science |
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| Career Elective Courses | Physics II, Life Science II, Integrated Science, General Engineering |