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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 Ewha Womans University University, South Korea

Choosing the B.Sc. in Data Science at Ewha Womans University offers a unique blend of academic excellence and cutting-edge research in the heart of South Korea. Known for its strong focus on technology, innovation, and global perspectives, the program equips students with essential skills in data analytics, machine learning, and programming. With access to top-tier faculty and state-of-the-art facilities, students benefit from a rigorous curriculum and practical experience. Ewha’s supportive and empowering environment fosters personal growth, making it an ideal choice for women aspiring to lead in the rapidly evolving field of data science.


B.Sc in Data Science at Ewha Womans University University, South Korea, Program Details
 

Aspect

Details

Program Name

B.Sc. in Data Science

Degree Awarded

Bachelor of Science (B.Sc.)

Course Duration

4 years

Language of Instruction

English (and/or Korean, depending on the course)

Yearly Tuition Fees

Approx. KRW 6,000,000 - 8,000,000 (subject to change, please check for updates)

Total Tuition Fees

Approx. KRW 24,000,000 - 32,000,000 for the entire program

Total Program Cost

Approx. KRW 30,000,000 - 40,000,000 (including other fees and living expenses)

Eligibility

High school diploma or equivalent; strong background in mathematics or science is recommended

Admission Requirements

 Completed application form
 Academic transcripts
 Proof of English proficiency (TOEFL/IELTS)
 Recommendation letters
 Personal statement or essay
 SAT/ACT scores (if applicable)

Application Intake

Typically in Spring (March) or Fall (September)

Scholarship

Scholarships available based on merit and need; specific details available on the university website

Career Prospects

Graduates can pursue careers in data analysis, machine learning, AI, data engineering, business analytics, research, and more across various industries like tech, finance, and healthcare.

Curriculum Structure

 Core Courses: Programming, Data Analytics, Machine Learning, Databases, Statistics, Algorithms
 Elective Courses: AI, Big Data, Cloud Computing, Data Visualization
 Capstone Project: Industry-relevant project in the final year