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B.Tech in Data Technology

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

Why Choose B.Tech in Data Technology at Korea Advanced Institute of Science & Technology, South Korea

Choosing B.Tech in Data Technology at Korea Advanced Institute of Science & Technology (KAIST) offers students a unique opportunity to study at one of the world’s leading research institutions. KAIST’s cutting-edge curriculum emphasizes data science, AI, machine learning, and big data analytics, preparing students for the evolving tech industry. With state-of-the-art facilities, collaboration with top global researchers, and a strong network in South Korea’s tech-driven economy, KAIST equips students with both practical and theoretical skills. Moreover, the multicultural environment and exposure to groundbreaking innovations make it an ideal place to advance in the field of data technology.


B.Tech in Data Technology at Korea Advanced Institute of Science & Technology, South Korea, Program Details
 

Category

Details

Program Name

B.Tech in Data Technology

Degree Awarded

Bachelor of Technology (B.Tech) in Data Technology

Course Duration

4 years

Language of Instruction

English

Yearly Tuition Fees

Approx. $20,000 – $22,000 (varies based on program specifics)

Total Tuition Fees

Approx. $80,000 – $88,000

Total Program Cost

Approx. $100,000 – $110,000 (including living expenses, etc.)

Eligibility

High school diploma or equivalent with strong academic background in math/science

Admission Requirements

Academic transcripts, standardized test scores (e.g., SAT/ACT), English proficiency (TOEFL/IELTS), recommendation letters, personal statement

Application Intake

Typically in Spring (March) and Fall (September)

Scholarship

KAIST offers various scholarships, including merit-based and need-based options

Career Prospects

Opportunities in data analysis, machine learning, AI, big data, and software development in industries like tech, finance, healthcare, and more

Curriculum Structure

Includes courses in programming, algorithms, machine learning, statistics, databases, AI, big data analytics, and electives in advanced data technologies