Courses
Course Requirements
Common Required Courses
| Classification | Credits | Courses | Remarks |
|---|---|---|---|
| Common | 3 | Transdisciplinary Innovations and My Future 1: Exploration | |
| 1 | Transdisciplinary Innovations and My Future 2: Experience in Digital Healthcare | Must earn at least 2 credits | |
| 1 | Transdisciplinary Innovations and My Future 2: Experience in Integrative Data Science | ||
| 1 | Transdisciplinary Innovations and My Future 2: Experience in Sustainable Technology | ||
| 1 | Transdisciplinary Innovations and My Future 2: Experience in Intelligent Semiconductor System | ||
| 1 | Transdisciplinary Innovations and My Future 2: Experience in Innovative Pharmaceutical Sciences | ||
| 2 | Transdisciplinary Innovations and My Future 3: Tracks |
Major Required Courses
| Classification | Credits | Courses |
|---|---|---|
| Digital Healthcare | 3 | Understanding the human body for Digital Healthcare Majors |
| 3 | Biomedical Artificial Intelligence and Software System | |
| 3 | Design and Practice of Digital Healthcare | |
| 3 | Digital Healthcare Internship | |
| Integrative Data Science | 3 | Introduction to Probability Theory |
| 3 | Principles of Data Structures | |
| 3 | Mathematical Statistics | |
| 3 | Introduction to Optimization | |
| 3 | Data Engineering | |
| 3 | Capstone Project | |
| Sustainable Technology | 3 | Physical Chemistry for Sustainable Technology |
| 3 | Introduction to Sustainable Technology | |
| 3 | Electrochemistry for Sustainable Technology | |
| 3 | Sustainable Technology Basic Lab. | |
| 2 | Sustainable Technology Applied Lab. | |
| 2 | Instrumental Analysis | |
| Intelligent Semiconductor System | 4 | Digital Logic Design and Lab. |
| 4 | Electronic Circuits Basics and Lab. | |
| 4 | Programming Methodology | |
| 3 | Semiconductor Devices | |
| Innovative Pharmaceutical Sciences | 2 | Basics of Medicinal Chemistry |
| 3 | Biochemistry | |
| 3 | Biologics | |
| 2 | Innovative Drug Discovery and Development Lab. 1 | |
| 3 | Rational Drug Design Based on Molecule |
Common and Major Elective Courses
| Classification | Credits | Courses | Remarks |
|---|---|---|---|
| Common | 3 | Transdisciplinary Innovations and Entrepreneurship | |
| 3 | Transdisciplinary Innovations and Entrepreneurship Simulation | Students who select Technology Foundation Track for the Certificate Program must complete at least 1 course | |
| 2 | Transdisciplinary Innovations Entrepreneurship Internship | ||
| 2 | Capstone Studies in Transdisciplinary Innovations | Students who select Creative Research Track for the Certificate Program must complete at least 1 course | |
| 2 | Transdisciplinary Innovations Research Internship | ||
| 2 | Transdisciplinary Innovations Policy Internship | Students who select Policy Leadership Track for the Certificate Program must complete at least 1 course | |
| 3 | Digital Leadership Development and Coaching | ||
| 3 | Introduction to Data Science | ||
| 3 | Principles of Data Structures | ||
| 3 | Data Mining and Machine Learning | ||
| 3 | Basics of Artificial Intelligence | ||
| 3 | Basics of Deep Learning | ||
| 3 | Regulatory Science for Innovative Pharmaceuticals and Medical Devices | ||
| 3 | Basics of Organic Chemistry | ||
| 3 | Basics of Physical Chemistry | ||
| 4 | Circuit Theory Basics and Practice | ||
| Digital Healthcare | 3 | Theories of Advanced Biomedical and Core Intelligent Systems | |
| 3 | Electrical and Electronic Circuits for Integrated Engineers | ||
| 3 | Basics of Digital Biomedical Signal Processing | ||
| 3 | Digital Healthcare Service Engineering | ||
| 3 | Biomedical Instrumentation | ||
| 3 | Understanding Disease Diagnosis and Therapy | ||
| 3 | Frontiers of Medical Devices in Diagnosis, Monitoring and Surgery | ||
| 3 | Medical Genomics | ||
| 3 | Healthcare Information System and Smart Healthcare | ||
| 3 | Advanced Studies in Digital Healthcare | ||
| Integrative Data Science | 3 | Data Visualization and Exploratory Data Analysis | |
| 3 | Regression Models 1 | ||
| 3 | Regression Models 2 | ||
| 3 | Statistical Methods for Public Health and Medical Research | ||
| 3 | Advanced Data Analysis | ||
| 3 | Creative Studies in Data Science | ||
| 3 | Data-driven Computer Vision | ||
| 3 | Data, Inference, and Decisions | ||
| 3 | LLM and RAG | ||
| Sustainable Technology | 3 | Materials Chemistry for Sustainable Technology | |
| 3 | Introduction to Polymer Materials | ||
| 3 | Understanding Solid-State Materials | ||
| 3 | Transport Phenomena in Sustainable Systems | ||
| 3 | Resources Recycling Engineering | ||
| 3 | Catalysis for Sustainable Technology | ||
| 3 | Introduction to Environmental Engineering | ||
| 2 | Current Trends of Sustainable Technology | ||
| 3 | Field Application of Sustainable Technology | Must complete at least 1 course | |
| 3 | Creative Studies in Sustainable Technology | ||
| 3 | Rechargeable Batteries Engineering | Must complete at least 3 courses | |
| 3 | Fuel Cell and Hydrogen Energy Engineering | ||
| 3 | Carbon Capture, Utilization, and Storage | ||
| 3 | Engineering for Solar Energy Utilization | ||
| 3 | Sustainability Assessment of Technologies | ||
| Intelligent Semiconductor System | 3 | Basics of Crystallography | |
| 3 | Basics of Electromagnetics | ||
| 3 | Quantum Physics | ||
| 3 | Basic Artificial Intelligence | ||
| 3 | Computer Organization | ||
| 3 | Semiconductor Physics | ||
| 3 | Analog Electronic Circuits | ||
| 4 | Digital Systems Design and Lab. | ||
| 3 | Organic and Inorganic Materials Chemistry | ||
| 3 | Integrated Circuit Processes of Semiconductor | ||
| 3 | Machine Learning and Deep Learning | ||
| 3 | Basics of Operating System | ||
| 3 | Semiconductor Materials and Fabrication Processes | ||
| 3 | Memory and Artificial Intelligence Device | ||
| 3 | Digital Integrated Circuits | ||
| 3 | Deep Learning Accelerators | ||
| 3 | Semiconductor Project | ||
| Innovative Pharmaceutical Sciences | 2 | Innovative Medicines that Saved Humanity | |
| 3 | Systems Biology for Biomedical Sciences | ||
| 3 | Cell Biology | ||
| 3 | Understanding Pathology | ||
| 3 | Mechanism of Drug Action | ||
| 3 | Pharmaceutical Analysis | ||
| 3 | New Approaches for New Drug Development | ||
| 2 | Frontiers of Biologics | ||
| 2 | Creative Leadership for Drug Development | ||
| 2 | Drug Delivery Technologies | ||
| 3 | Toxicology | ||
| 3 | Good Manufacturing Process and Analytics for Innovative Pharmaceuticals | ||
| 2 | Innovative Convergence Drug Development | ||
| 1 | Global Colloquium of Innovative Drug Discovery and Development | ||
| 2 | Basics of Drug Development | ||
| 2 | Patent & Intellectual Property for Pharmaceuticals: Theory & Practice | ||
| 3 | Innovative Drug Discovery and Development Lab. 2 | ||
| 2 | (Environments and Issues in Drug Development |
Cross-Listed Courses
- Overview: Courses with overlapping content offered jointly by our school and another department/school.
- Important Notes
- Students must register for the course under their own major.
- ※ Registration under the other department/school will count as a general elective.
- Students taking a course under another department/school due to their double major may have up to 9 credits approved as Major Course credits in SNUTI, per Article 5 of the SNU Undergraduate Major Course Requirements Regulations. Students should confirm with the other department/college whether SNUTI courses can be counted toward their major.
- To retake a cross-listed course, students must register under the same course number as the previously completed one.
- ※ For example, if a student completed course A of a cross-listed pair (A and B) and wishes to retake it, they must register for course A.
| No. | SNUTI | Other Departments/Schools | Semester | |||
|---|---|---|---|---|---|---|
| Major | Course (Course No.) | Major | Course (Course No.) | |||
| 1 | Common | Basics of Organic Chemistry (M3639.002200) | College of Natural Sciences Department of Chemistry | Basic Organic Chemistry (886.031) | All | |
| 2 | Integrative Data Science | Introduction to Probability Theory (M3635.000100) | College of Natural Sciences Department of Statistics | Concepts and Applications in Probability (326.211) | All | |
| 3 | Integrative Data Science | Data Visualization and Exploratory Data Analysis (M3635.000200) | College of Natural Sciences Department of Statistics | Data Analysis and Lab. (M1399.001400) | 2nd | |
| 4 | Intelligent Semiconductor System | Digital Logic Design and Lab. (M3637.000400) | College of Engineering Department of Electrical and Computer Engineering | Digital Logic Design and Lab. (430.201A) *Course 001 | 2nd | |
※ Cross-listed courses may be added or changed, so please check our website and the course registration website before enrolling.
※ Unless there are exceptional circumstances, SNUTI students should enroll SNUTI courses.
Credit Approval for Major Courses Taken Within/Outside SNUTI
- Up to 9 credits from courses in other majors within SNUTI or in other departments/schools can be approved as Major Electives.
- List of approved courses: Access via Information Systems of SNU → Class/Grade → Course → Courses from Other Departments/Schools Approved as Major Credits
- Requesting approval for courses not on the list
- Before enrollment: Confirm eligibility by emailing the administrative office with the course number, title, and syllabus.
- ※ Requests will be reviewed and approved by the director of the student’s major.
- After enrollment: Submit an approval request through Information Systems of SNU → Class/Grades → Grades → Change Course Classification. Print the Course Classification Change Form and submit it to the administrative office.
General Education Course Requirements
※ Detailed general education course requirements by admission year can be found on the SNU College website ( https://snuc.snu.ac.kr/)
| General Education | Credit Requirements (51 or more) | |||
|---|---|---|---|---|
| Areas | Required Courses | Credits | Remarks | |
| Foundation | Writing and Speaking | [1-1, 1-2] College writing 1 | 2 | |
| [3~4] College Writing 2: Writing in Science & Technology | 2 | Mandatory course for Certificate Programs Must be taken in the 3rd or 4th Year | ||
| Foreign Languages | 2 Courses | 6 | Students with a TEPS score of 900 (New TEPS 525) and below upon matriculation must take at least one English course | |
| Mathematics, Science, and Computing | [1-1] Completion of one course in each of the area of Mathematics, Science, and Computing (Total three courses) | 10 | Students who take courses in Mathematics must take special exam for freshmen, and register for courses appropriate to their level based on the results Students who take courses in Science should take special exam for freshmen, and register for courses appropriate to their level based on the results Students who take courses in Mathematics or Science should take corresponding practice or lab course at the same semester | |
| Completion of at least three additional subjects in the areas of Mathematics, Science, and Computing | 10 | |||
| Claves | Cultural Interpretation and Imagination | 3 | ||
| Historical Inquiry and Philosophical Thinking | 3 | |||
| Understanding Humans and Society | 3 | |||
| Scientific Reasoning and Applications | 3 | |||
| Veritas | Veritas Lecture 1 | [1-1] Veritas Lecture 1 | 3 | All 3 courses must be taken |
| Veritas Lecture 2 | [1-2] Veritas Lecture 2 | 3 | ||
| Veritas Practice | [3~4] Veritas Practice | 3 | ||
※ The semester listed for required courses is for guidance only.
Courses in the area of Mathematics, Science, or Computing admitted by SNUTI
- Mathematics
- Gen Ed: Calculus 1,2, Engineering Mathematics 1,2, Differential and Integral Calculus 1,2, Honor Calculus 1,2, Statistics, Biostatistics
Major: Introduction to Linear Algebra
- Science
- Gen Ed: Physics, Physics 1, Physics 2, Chemistry, Chemistry 1, Chemistry 2, Biology, Biology 1, Biology 2, Statistics, Biostatistics
Major: Basics of Organic Chemistry
- Computing
- Gen Ed: Basic Computing, Core Computing, Application of Computing, Digital Computer Concept and Practice
Major: AI and Bioengineering, Introduction to Data Science
※ [Statistics] and [Biostatistics] are not admitted simultaneously.
※ [Calculus 1], [Differential and Integral Calculus 1], and [Honor Calculus 1] are not admitted simultaneously.
※ [Calculus 2], [Differential and Integral Calculus 2], and [Honor Calculus 2] are not admitted simultaneously.
※ [Physics 1] and [Honor Physics 1] are not admitted simultaneously.
※ [Physics 2] and [Honor Physics 2] are not admitted simultaneously.
※ [Physics] is not admitted with [Physics 1] or [Physics 2], [Honor Physics 1] or [Honor Physics 2] simultaneously.
※ [Chemistry] is not admitted with [Chemistry 1] or [Chemistry 2], [Advanced Chemistry] simultaneously.
※ [Advanced Chemistry] is not admitted with [Chemistry 1] or [Chemistry 2] simultaneously.
※ [Biology] is not admitted with [Biology 1] or [Biology 2] simultaneously.
※ [Digital Computer Concept and Practice] is not admitted with [Basic Computing] or [Core Computing] simultaneously.
