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B.Sc in Data Science

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

Why Choose B.Sc in Data Science at Kyungpook National University (Daegu Campus), South Korea

Choosing a B.Sc in Data Science at Kyungpook National University (Daegu Campus), South Korea, offers a unique blend of academic excellence and practical experience. The program emphasizes cutting-edge technologies like AI, big data, and machine learning, guided by expert faculty. With strong industry connections and research opportunities, students gain real-world insights and hands-on skills. The university's global partnerships and supportive campus environment enhance cultural exchange and career prospects. Located in Daegu, a tech-driven city, students benefit from innovation-focused surroundings. This program is ideal for those seeking a strong foundation in data science and a competitive edge in the global job market.


B.Sc in Data Science at Kyungpook National University (Daegu Campus), South Korea, Program Details
 

Category

Details

Program Name

B.Sc in Data Science

Degree Awarded

Bachelor of Science (B.Sc)

Course Duration

4 Years (8 Semesters)

Language of Instruction

English (some courses may be in Korean)

Yearly Tuition Fees

Approx. KRW 4,000,000 – 5,000,000

Total Tuition Fees

Approx. KRW 16,000,000 – 20,000,000

Total Program Cost

Approx. KRW 22,000,000 – 26,000,000 (including living expenses, etc.)

Eligibility

High school graduate or equivalent; strong background in math and science

Admission Requirements

Online application, academic transcripts, proof of English/Korean proficiency, statement of purpose, recommendation letter, passport copy

Application Intake

Spring (March) and Fall (September)

Scholarship

Merit-based and need-based scholarships available for international students

Career Prospects

Data Analyst, Data Scientist, AI Engineer, Machine Learning Engineer, Business Intelligence Analyst, Researcher

Curriculum Structure

Core courses in statistics, programming, AI, machine learning, big data, data mining, with electives and capstone projects in later years