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M.Tech in Computer Engineering

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

Why Choose M.Tech in Computer Engineering at Pusan National University, South Korea

Choosing an M.Tech in Computer Engineering at Pusan National University (PNU) offers a unique opportunity to study at one of South Korea's leading institutions. PNU provides cutting-edge research facilities, a robust curriculum, and a global perspective on technology. The program emphasizes practical experience, innovation, and industry connections, which are essential for a successful career in tech. With its strong faculty, diverse student body, and collaborations with top companies, PNU offers an environment conducive to academic and professional growth. Additionally, studying in South Korea allows exposure to a thriving tech hub, enhancing future career prospects.


M.Tech in Computer Engineering at Pusan National University, South Korea, Program Details
 

Program Name

M.Tech in Computer Engineering

Degree Awarded

Master of Technology (M.Tech) in Computer Engineering

Course Duration

2 years (4 semesters)

Language of Instruction

English

Yearly Tuition Fees

Approx. USD 3,000 - USD 4,000 per year

Total Tuition Fees

Approx. USD 6,000 - USD 8,000 for the entire program

Total Program Cost

Approx. USD 10,000 - USD 12,000 (including living expenses)

Eligibility

Bachelor's degree in Computer Engineering or related fields

Admission Requirements

 Completed application form
 Transcripts
 English proficiency (TOEFL/IELTS)
 Statement of Purpose (SOP)
 Recommendation letters

Application Intake

Spring (March) and Fall (September)

Scholarship

Available for outstanding students, covering partial to full tuition

Career Prospects

Opportunities in IT companies, software development, research labs, and academia, with roles such as software engineer, system architect, and data scientist

Curriculum Structure

 Core courses in Computer Architecture, Data Structures, Algorithms, and AI
 Elective courses in Machine Learning, Cloud Computing, and Cybersecurity
 Research Project/Thesis
 Internship opportunities with industry partners