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MS in Artificial intelligence

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

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

Choosing the MS in Artificial Intelligence at POSTECH offers a unique opportunity to study at one of South Korea's top universities, renowned for its cutting-edge research and innovation in technology. POSTECH provides access to world-class faculty, advanced AI labs, and strong industry connections, fostering hands-on learning and research in AI. The program emphasizes interdisciplinary learning, combining AI with fields like robotics and data science, preparing graduates for a wide range of career opportunities. Additionally, POSTECH’s global network and focus on entrepreneurship ensure students are well-equipped to lead in the rapidly evolving AI landscape.


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

Category

Details

Program Name

MS in Artificial Intelligence

Degree Awarded

Master of Science (MS) in Artificial Intelligence

Course Duration

2 years (typically)

Language of Instruction

English

Yearly Tuition Fees

Approx. KRW 20,000,000 – KRW 30,000,000 (~$15,000 - $23,000 USD)

Total Tuition Fees

Approx. KRW 40,000,000 – KRW 60,000,000 (~$30,000 - $46,000 USD)

Total Program Cost

Includes tuition, living expenses, and additional fees (~$50,000 - $70,000 USD)

Eligibility

Bachelor’s degree or equivalent in a relevant field (e.g., computer science, engineering, mathematics)

Admission Requirements

 Transcripts
 Statement of Purpose
 Letters of Recommendation
 English proficiency test (TOEFL/IELTS)
 GRE scores (optional, but recommended)
 CV/Resume

Application Intake

Fall intake (typically in August/September)

Scholarship

Available for qualified students; includes merit-based and need-based scholarships

Career Prospects

Graduates pursue careers in AI, data science, machine learning, robotics, and software development in industries such as tech, finance, healthcare, and research institutions.

Curriculum Structure

The program includes core courses, electives, research projects, and a thesis or internship. Typical subjects include:
 Machine Learning
 Deep Learning
 Data Science
 Natural Language Processing
 Computer Vision
 Reinforcement Learning
 AI Ethics