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B.Sc in Data Science

Course Level: Bachelor's
Course Duration: 3 Years
Course Language English
Required Degree Class 12th
First Year Total Fees: $ 7000(₹ 900000)
Total Course Fees: $ 21000(₹ 2700000)

Why Choose B.Sc in Data Science at Sejong University, South Korea

Choosing a B.Sc in Data Science at Sejong University, South Korea, offers a unique blend of cutting-edge education and global exposure. The program provides strong foundations in statistics, programming, machine learning, and big data analytics, preparing students for rapidly growing tech industries. Sejong University emphasizes hands-on projects, research opportunities, and industry collaborations, fostering practical skills alongside theoretical knowledge. With access to modern labs and experienced faculty, students gain insights into real-world data challenges. Additionally, studying in South Korea, a hub for technology and innovation, allows international students to experience a dynamic culture while building a competitive career in data science.


B.Sc in Data Science at Sejong University, 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 / Korean (depending on courses)

Yearly Tuition Fees

Approx. KRW 5,000,000 – 6,000,000 (~USD 3,800 – 4,600)

Total Tuition Fees

Approx. KRW 20,000,000 – 24,000,000 (~USD 15,000 – 18,400)

Total Program Cost

Tuition + Living expenses ~ KRW 50,000,000 (~USD 38,500)

Eligibility

High school graduate or equivalent with strong math background

Admission Requirements

High school transcripts, English proficiency (TOEFL/IELTS), personal statement, recommendation letters

Application Intake

Spring (March) & Fall (September)

Scholarship

Merit-based, need-based, international student scholarships covering 20–100% of tuition

Career Prospects

Data Analyst, Data Scientist, Machine Learning Engineer, Business Intelligence Specialist, AI Developer

Curriculum Structure

Core courses: Statistics, Programming, Machine Learning, Big Data, Data Visualization; Electives: AI, Database Systems, Cloud Computing; Capstone Project & Internship opportunities