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B.Tech in Data Technology

Course Level: Bachelor's
Course Duration: 4 Years
Course Language English
Required Degree Class 12th
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Why Choose B.Tech in Data Technology at Pohang University of Science and Technology (POSTECH), South Korea

Choosing B.Tech in Data Technology at Pohang University of Science and Technology (POSTECH) offers students a world-class education in a globally recognized institution. POSTECH is known for its cutting-edge research and strong emphasis on innovation in technology. The program equips students with essential skills in data science, machine learning, and big data analytics, preparing them for high-demand roles in the tech industry. With access to state-of-the-art facilities and collaborations with leading companies, POSTECH provides ample opportunities for hands-on learning, internships, and research, ensuring graduates are well-prepared for success in a rapidly evolving digital world.


B.Tech in Data Technology at Pohang University of Science and Technology (POSTECH), South Korea, Program Details
 

Aspect

Details

Program Name

B.Tech in Data Technology

Degree Awarded

Bachelor of Technology (B.Tech)

Course Duration

4 years

Language of Instruction

English

Yearly Tuition Fees

Approx. USD 9,000 - 12,000 (varies based on specific program fees)

Total Tuition Fees

Approx. USD 36,000 - 48,000 (for the entire program)

Total Program Cost

Approx. USD 40,000 - 55,000 (including living expenses)

Eligibility

High school diploma or equivalent; Strong background in Mathematics and Science

Admission Requirements

High school transcripts, English proficiency test (TOEFL/IELTS), SAT/ACT (optional), Statement of Purpose, Letters of Recommendation

Application Intake

Fall Semester (usually September)

Scholarship

Available (merit-based and need-based scholarships)

Career Prospects

Data Scientist, Data Analyst, Machine Learning Engineer, Software Developer, Business Intelligence Analyst, Researcher in Data Science

Curriculum Structure

Core courses in Data Science, Machine Learning, Big Data, Algorithms, Statistics, and Electives in Artificial Intelligence, Data Mining, and Cloud Computing. Includes practical training, internships, and research projects.