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MS in Computational Science and Engineering

Course Level: Master's
Course Duration: 2 Years
Course Language English
Required Degree 3 Year Bachelor’s Degree

Why Choose MS in Computational Science and Engineering at Pohang University of Science and Technology (POSTECH), South Korea

Choosing the MS in Computational Science and Engineering at POSTECH offers access to cutting-edge research and world-class faculty in a globally recognized institution. POSTECH’s strong emphasis on interdisciplinary education provides a solid foundation in computational methods, mathematical modeling, and scientific computing. Students benefit from state-of-the-art facilities, collaborative research opportunities, and a vibrant academic environment. Additionally, POSTECH's strong ties with industry foster connections and practical experience. The program’s rigorous curriculum and innovative approach equip graduates with the skills needed to tackle complex challenges in fields like engineering, data science, and artificial intelligence, making it an excellent choice for aspiring professionals.


MS in Computational Science and Engineering at Pohang University of Science and Technology (POSTECH), South Korea, Program Details
 

Category

Details

Program Name

MS in Computational Science and Engineering

Degree Awarded

Master of Science (MS)

Course Duration

2 years (typically)

Language of Instruction

English

Yearly Tuition Fees

Approx. KRW 17,000,000 (varies)

Total Tuition Fees

Approx. KRW 34,000,000

Total Program Cost

Approx. KRW 36,000,000 (including living expenses)

Eligibility

Bachelor's degree in related fields (Engineering, Computer Science, Mathematics)

Admission Requirements

 Completed application form
 Bachelor’s degree
 Transcripts
 Statement of Purpose
 Letters of Recommendation
 Proof of English proficiency (TOEFL/IELTS)

Application Intake

Spring (March) and Fall (September) intake

Scholarships

Various merit-based scholarships and financial aid available

Career Prospects

Graduates can pursue careers in academia, research, tech companies, AI, data science, and engineering industries

Curriculum Structure

Core courses in computational methods, scientific computing, and mathematical modeling, along with electives in areas such as machine learning, AI, and data science. Research thesis in the second year.