| Course Level: | Bachelor's | |
|---|---|---|
| Course Duration: | 4 Years | |
| Course Language | English | |
| Required Degree | Class 12th | |
Choosing a B.Sc in Computer Science & Statistics at Jeju National University (JNU), South Korea offers a strong foundation in both data-driven decision-making and advanced computing. JNU provides a globally oriented curriculum combining statistical theory, programming, and data analysis, preparing students for careers in data science, AI, and software development. Located on the beautiful island of Jeju, the university offers a multicultural learning environment, affordable tuition, and opportunities for international collaboration and research. Graduates gain practical skills and global perspectives, making them highly competitive in the rapidly evolving fields of technology and data analytics.
Field |
Details |
|---|---|
|
Program Name |
B.Sc in Computer Science & Statistics |
|
Degree Awarded |
Bachelor of Science (B.Sc) |
|
Course Duration |
4 Years (8 Semesters) |
|
Language of Instruction |
English / Korean |
|
Yearly Tuition Fees |
Approximately USD 3,000 – 4,000 per year |
|
Total Tuition Fees |
Approximately USD 12,000 – 16,000 for the entire program |
|
Total Program Cost (including living expenses) |
Approximately USD 25,000 – 30,000 |
|
Eligibility |
Completion of high school or equivalent with strong background in mathematics and science; proof of English or Korean proficiency (e.g., TOEFL, IELTS, or TOPIK) |
|
Admission Requirements |
Online application, academic transcripts, personal statement, recommendation letter(s), language proficiency certificate, and passport copy |
|
Application Intake |
Spring (March) and Fall (September) |
|
Scholarship |
Merit-based and international student scholarships available (tuition reduction or full scholarship based on academic excellence) |
|
Career Prospects |
Data Analyst, Software Developer, Data Scientist, Statistician, AI Engineer, Research Analyst, Business Intelligence Specialist |
|
Curriculum Structure |
Core courses in Programming, Algorithms, Probability & Statistics, Data Analysis, Database Systems, Machine Learning, Artificial Intelligence, and Capstone Project in the final year |
