• # Rating - 4.8 Points
  • # Accomodation #
  • # Scholarship #
  • # Part Time Work #

M.Tech in Artificial Intelligence

Course Level: Master's
Course Duration: 2 Years
Course Language English
Required Degree 4 Year Bachelor’s Degree

Why Choose M.Tech in Artificial Intelligence at Pohang University of Science and Technology (POSTECH), South Korea

Choosing an M.Tech in Artificial Intelligence at Pohang University of Science and Technology (POSTECH) offers a unique opportunity to study at one of South Korea's top research institutions. POSTECH provides a cutting-edge curriculum in AI, blending theory with hands-on experience. The university's strong ties to industry and its collaborative research environment foster innovation. Students benefit from state-of-the-art facilities, expert faculty, and a global network. POSTECH's emphasis on interdisciplinary learning and real-world problem-solving makes it an ideal choice for aspiring AI professionals seeking to make a significant impact in the rapidly evolving field of artificial intelligence.


M.Tech in Artificial Intelligence at Pohang University of Science and Technology (POSTECH), South Korea, Program Details

Category

Details

Program Name

M.Tech in Artificial Intelligence

Degree Awarded

Master of Science (M.Tech) in Artificial Intelligence

Course Duration

2 years (typically)

Language of Instruction

English

Yearly Tuition Fees

Approx. 15,000,000 KRW (subject to change)

Total Tuition Fees

Approx. 30,000,000 KRW (for 2 years)

Total Program Cost

Approx. 40,000,000 KRW (including living expenses and other fees)

Eligibility

Bachelor's degree in Computer Science, Engineering, or related fields

Admission Requirements

Academic transcripts, recommendation letters, statement of purpose, resume/CV, language proficiency (TOEFL/IELTS), GRE (may be required)

Application Intake

Fall intake (usually September)

Scholarship

Available (merit-based, needs-based, and specific research assistantships)

Career Prospects

Opportunities in AI research, machine learning, data science, robotics, software engineering, and more in industries like tech, healthcare, automotive, and finance

Curriculum Structure

Core AI courses (machine learning, deep learning, natural language processing), elective courses, thesis/project work, research-oriented study