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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: $ 4000(₹ 1500000)
Total Course Fees: $ 12000(₹ 500000)

Why Choose B.Sc in Data Science at Ulsan National Institute of Science & Technology, South Korea

Choosing a B.Sc. in Data Science at Ulsan National Institute of Science & Technology (UNIST) offers a unique opportunity to study at a leading research-focused institution in South Korea. The program provides a comprehensive curriculum blending data analytics, machine learning, and computational techniques, taught by expert faculty. UNIST's state-of-the-art facilities and collaborative environment foster innovation, while its strong ties to industry ensure students gain practical experience. The university’s global reputation, combined with South Korea’s growing tech industry, equips graduates with the skills and networks needed for successful careers in data science and technology-driven fields.


B.Sc in Data Science at Ulsan National Institute of Science & Technology, South Korea, Program Details
 

Category

Details

Program Name

B.Sc. in Data Science

Degree Awarded

Bachelor of Science (B.Sc.) in Data Science

Course Duration

4 years

Language of Instruction

English

Yearly Tuition Fees

Approx. USD 5,000 - 6,000 (Subject to change)

Total Tuition Fees

Approx. USD 20,000 - 24,000 (for 4 years)

Total Program Cost

Approx. USD 25,000 - 30,000 (Including tuition, living, and other costs)

Eligibility

High school diploma or equivalent, with strong academic performance in mathematics and science

Admission Requirements

Completed application, academic transcripts, English proficiency (TOEFL/IELTS), recommendation letters, statement of purpose

Application Intake

Fall intake (September)

Scholarships

Merit-based scholarships, financial aid available for international students

Career Prospects

Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, Researcher in academia or industry

Curriculum Structure

 Year 1: Foundation in mathematics, programming, and data science basics
 Year 2: Intermediate courses in statistics, data analysis, and machine learning
 Year 3: Advanced topics in artificial intelligence, big data, and data visualization
 Year 4: Capstone project and specialized electives in data science