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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 Gangneung-Wonju National University, South Korea

Choosing a B.Sc in Statistics at Gangneung-Wonju National University (GWNU), South Korea, offers a unique blend of rigorous academic training and practical skills development. The program emphasizes probability, data analysis, and statistical modeling, preparing students for careers in data science, finance, research, and government sectors. GWNU provides modern laboratories, experienced faculty, and collaborative projects, fostering analytical thinking and problem-solving abilities. Students benefit from international exposure, industry partnerships, and opportunities for research and internships. With South Korea’s growing focus on technology and data-driven decision-making, a statistics degree from GWNU equips graduates with competitive expertise for a global job market.


B.Sc in Statistics at Gangneung-Wonju National University, 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 (8 semesters)

Language of Instruction

English / Korean

Yearly Tuition Fees

Approx. KRW 4,000,000 – 5,000,000 (~USD 3,000–4,000)

Total Tuition Fees

Approx. KRW 16,000,000 – 20,000,000 (~USD 12,000–16,000)

Total Program Cost

Tuition + living expenses: ~KRW 35,000,000 (~USD 27,000)

Eligibility

High school graduate or equivalent with strong math background

Admission Requirements

Academic transcripts, English proficiency (TOEFL/IELTS if applicable), personal statement, recommendation letters

Application Intake

Spring (March) & Fall (September)

Scholarship

Merit-based scholarships available for international students (tuition reduction or full tuition)

Career Prospects

Data analyst, statistician, actuarial analyst, market researcher, data scientist, government or research institutions

Curriculum Structure

Core courses in probability, statistics, regression analysis, statistical computing, data mining, elective courses, capstone project, internship opportunities