| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 3 Year Bachelor’s Degree | |
Pursuing an MS in Applied Mathematics at Korea University offers a world-class academic environment with a strong emphasis on research, innovation, and practical applications. The program equips students with advanced analytical and computational skills, preparing them to solve complex real-world problems across science, engineering, finance, and technology. Korea University, one of South Korea’s top institutions, provides access to distinguished faculty, cutting-edge facilities, and interdisciplinary collaboration opportunities. Located in Seoul, students also benefit from a dynamic global hub that fosters cultural exchange and career growth. This program is ideal for those seeking academic excellence and impactful career opportunities worldwide.
Category |
Details |
|---|---|
|
Program Name |
MS in Applied Mathematics |
|
Degree Awarded |
Master of Science (M.S.) |
|
Course Duration |
2 years (typically 4 semesters) |
|
Language of Instruction |
English / Korean (many graduate courses available in English) |
|
Yearly Tuition Fees |
Approx. USD 6,000 – 7,000 |
|
Total Tuition Fees |
Approx. USD 12,000 – 14,000 (for 2 years) |
|
Total Program Cost |
USD 15,000 – 18,000 (including living expenses) |
|
Eligibility |
Bachelor’s degree in Mathematics, Applied Mathematics, or related field |
|
Admission Requirements |
Online application, transcripts, proof of English/Korean proficiency (TOEFL/IELTS or TOPIK), statement of purpose, recommendation letters, CV, and research plan (if applicable) |
|
Application Intake |
Spring (March) & Fall (September) |
|
Scholarship |
Korea University Global Korea Scholarship (GKS), KU Graduate Scholarships, Research Assistantships |
|
Career Prospects |
Academia, Data Science, Finance, Engineering, Technology, Research Institutes, PhD programs |
|
Curriculum Structure |
Core courses (Advanced Analysis, Numerical Methods, Probability & Statistics), Electives (Computational Math, Mathematical Modeling, Optimization), Thesis research |
