| Course Level: | Bachelor's | |
|---|---|---|
| Course Duration: | 4 Years | |
| Course Language | English | |
| Required Degree | Class 12th | |
Choosing a B.Sc. in Statistics at Korea University offers an excellent opportunity to gain strong analytical, mathematical, and computational skills at one of South Korea’s top institutions. The program combines theory with practical applications, preparing students for diverse careers in data science, finance, research, and technology. Korea University is renowned for its world-class faculty, modern facilities, and global academic partnerships, providing students with international exposure. Studying in South Korea also opens doors to a vibrant culture and growing economy. This degree equips graduates with the knowledge and skills needed to thrive in today’s data-driven world.
Category |
Details |
|---|---|
|
Program Name |
Bachelor of Science (B.Sc.) in Statistics |
|
Degree Awarded |
Bachelor of Science |
|
Course Duration |
4 years (8 semesters, full-time) |
|
Language of Instruction |
Primarily Korean (some courses may be offered in English) |
|
Yearly Tuition Fees |
Approx. USD 7,000 – 8,000 (KRW 9 – 10 million) |
|
Total Tuition Fees |
Approx. USD 28,000 – 32,000 |
|
Total Program Cost |
USD 35,000 – 40,000 (including living expenses, books, and fees) |
|
Eligibility |
Completion of high school or equivalent; strong background in math preferred |
|
Admission Requirements |
Application form, academic transcripts, proof of language proficiency (TOPIK for Korean or TOEFL/IELTS for English), personal statement, recommendation letters |
|
Application Intake |
Spring (March) and Fall (September) |
|
Scholarship |
Korea University International Student Scholarship (partial/full tuition based on merit); Government of Korea scholarships (e.g., Global Korea Scholarship - GKS) |
|
Career Prospects |
Data Analyst, Statistician, Financial Analyst, Market Researcher, Data Scientist, Researcher in government/private institutions |
|
Curriculum Structure |
Core: Probability, Mathematical Statistics, Statistical Computing, Regression Analysis, Multivariate Analysis. Electives: Machine Learning, Big Data Analytics, Time Series, Econometrics. Includes general education courses and capstone project. |
