Department of Biomedical Software Engineering
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address
(14662) D212, Dasol Hall, 43, Jibong-ro, Bucheon-si, Gyeonggi-do, Republic of Korea -
hours of operation
8:30 am-5:30 pm -
tel
+82 2 2164 4991 -
e-mail
cukbmsw@catholic.ac.kr
About the Department
The Department of Biomedical Software was established in 2023 to foster convergent talents with engineering skills and clinical knowledge by utilizing the strengths of Catholic University, which has eight affiliated hospitals. As a high-tech convergence department along with the Department of Artificial Intelligence and the Department of Data Science, the department aims to nurture the skills needed for medical services and technology support, such as precision diagnosis, digital treatment, and applying medical big data to healthcare, based on computer science-related subjects. The curriculum is divided into the Digital Healthcare Track/Medical Software Engineering Track to foster talents with the necessary convergent thinking and collaboration capabilities between IT and bio-industry fields for the era of the Fourth Industrial Revolution, in preparation for a qualitative leap in future medical technology.
Curriculum
| Year 1 | Understanding Computers and Programming, The Math Behind AI and Biotechnology, Introduction to Biomedical Engineering |
|---|---|
| Year 2 | Artificial Intelligence Programming, Probability and Statistics, Linear Algebra, Introduction to Healthcare Instrumentation |
| Year 3 | Machine Learning, Deep Learning, Healthcare Artificial Intelligence, Healthcare Data Analytics, Biosignal Processing, Capstone Design, Introduction to Clinical Research Methodology |
| Year 4 | Medical Imaging, Precision Medicine, BMS Development & Design, BMS Research Projects, Clinical Research Design |
Major Course Guide
| Year 1 | Computers & Programming | In this course, you will develop programming skills in Python, C, and other languages to work with healthcare big data before moving on to AI programming. |
|---|---|---|
| Year 2 | Artificial Intelligence Programming | Learn basic machine learning theory to design artificial intelligence models and programming skills to design AI models based on the Python language. |
| Year 3 | Healthcare Artificial Intelligence | Develop artificial intelligence programs to process healthcare data using clinical big data. Develop problem-solving skills. |
| Year 4 | Clinical Research Design | Learn a variety of clinical research design techniques to solve real-world challenges and apply them to healthcare problems. |
Academic Activities
The Department of Biomedical Software, along with the Department of Artificial Intelligence and the Department of Data Science, which together are our high-tech convergence departments, holds various events such as data analysis competitions and artificial intelligence colloquiums. and special lectures by inviting experts in various fields. We also organize activities to broaden students' perspectives. In addition, multiple clubs and organizations are organized by the student government.
Subject-Related Certifications
Big data analyst, data analytics specialist, etc.
Departmental Talent
- The next generation of leaders in the 21st century's advanced society Curious about social issues
- People who are open to acquiring new knowledge and possess diverse problem-solving skills
- Self-motivated and capable of self-directed learning
High School Courses Related to Major
| General Electives | Career Electives |
|---|---|
| Math I, Math II, Calculus, Probability and Statistics, Information, Physics I, Life Sciences I | PhysicsⅡ, Life Science II, Interdisciplinary Science, Engineering, general |
Careers after Graduation
| Education & research | AI, databases, biohealthcare, and more Researchers |
|---|---|
| Enterprise | Product or program developers and technical support professionals in the biohealth space who have the ability to manage, leverage, and analyze big data |
| Institutions & organizations | Inspect and manage the stability of medical device production |
| Other | Healthcare professionals utilizing medical database analytics, Systems and programs related to medical device selection and use Developers |