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B.Sc in Statistics

Course Level: Bachelor's
Course Duration: 4 Years
Course Language English
Required Degree Class 12th

Why Choose B.Sc in Statistics at Sungkyunkwan University( SKKU), South Korea

Choosing a B.Sc. in Statistics at Sungkyunkwan University (SKKU) offers students a comprehensive, globally recognized education in one of South Korea's top institutions. SKKU combines rigorous academic programs with cutting-edge research opportunities and a strong focus on data science, analytics, and statistical methods. The university’s state-of-the-art facilities, experienced faculty, and strong industry connections provide a solid foundation for career growth in diverse fields like finance, healthcare, and technology. Additionally, SKKU's vibrant international community and strategic location in Seoul offer a dynamic learning environment, fostering both personal and professional development.


B.Sc in Statistics at Sungkyunkwan University( SKKU), South Korea, Program Details
 

Category

Details

Program Name

B.Sc. in Statistics

Degree Awarded

Bachelor of Science (B.Sc.) in Statistics

Course Duration

4 years

Language of Instruction

English

Yearly Tuition Fees

Approx. USD 6,000 - USD 8,000 (varies by program and specific student status)

Total Tuition Fees

Approx. USD 24,000 - USD 32,000 (over 4 years)

Total Program Cost

Approx. USD 28,000 - USD 36,000 (includes tuition and living expenses)

Eligibility

High school graduation or equivalent; strong background in mathematics and statistics

Admission Requirements

Academic transcripts, English proficiency (TOEFL/IELTS), recommendation letters, application essay

Application Intake

Fall (September) intake, Spring (March) intake (subject to changes)

Scholarships

Merit-based scholarships, SKKU Global Scholarships, Financial Aid options

Career Prospects

Data Scientist, Statistician, Actuary, Market Analyst, Researcher, Data Analyst, Biostatistician

Curriculum Structure

1st Year: Introductory courses in Mathematics, Statistics, and Programming 
2nd Year: Probability Theory, Linear Algebra, Statistical Inference 
3rd Year: Regression Analysis, Time Series, Multivariate Analysis 
4th Year: Advanced Topics, Research Project, Electives in Data Science and Applied Statistics