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M.Tech in Autonomous Vehicle Engineering

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

Why Choose M.Tech in Autonomous Vehicle Engineering at Pohang University of Science and Technology (POSTECH), South Korea

Choosing the M.Tech in Autonomous Vehicle Engineering at POSTECH offers an exceptional opportunity to study at one of South Korea’s top universities, renowned for its cutting-edge research and innovation in engineering. POSTECH’s strong focus on interdisciplinary education combines AI, robotics, and advanced vehicle systems, providing students with hands-on experience in autonomous vehicle technologies. With access to state-of-the-art labs, world-class faculty, and industry partnerships, students are well-prepared for careers in the rapidly evolving field of autonomous vehicles. Additionally, the university’s global network and South Korea’s leading role in technology make it an ideal destination for aspiring engineers.


M.Tech in Autonomous Vehicle Engineering at Pohang University of Science and Technology (POSTECH), South Korea, Program Details

Category

Details

Program Name

M.Tech in Autonomous Vehicle Engineering

Degree Awarded

Master of Science (M.Tech) in Autonomous Vehicle Engineering

Course Duration

2 years (typically)

Language of Instruction

English

Yearly Tuition Fees

Approx. KRW 22,000,000 - 25,000,000 (Varies)

Total Tuition Fees

Approx. KRW 44,000,000 - 50,000,000 for the entire program

Total Program Cost

Approx. KRW 50,000,000 - 60,000,000 (includes living expenses and fees)

Eligibility

Bachelor's degree in engineering, computer science, robotics, or related fields.

Admission Requirements

 Completed application form
 Transcripts
 CV/Resume
 Statement of Purpose (SOP)
 Letters of Recommendation
 Proof of English proficiency (TOEFL/IELTS)
 GRE (optional)

Application Intake

Typically in Spring (March) and Fall (September)

Scholarships

Available for outstanding students; may include partial/full tuition waivers or research assistantships

Career Prospects

 Autonomous vehicle engineering companies
 Robotics & AI research institutes
 Automotive industry
 Tech companies focusing on AI, machine learning, and robotics

Curriculum Structure

1. Core Courses: Autonomous vehicle systems, AI for autonomous systems, robotics, machine learning.
2. Electives: Advanced topics in computer vision, deep learning, vehicle dynamics.
3. Research: Independent research and thesis.