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M.Tech in Applied Computer Science

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

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

Choosing M.Tech in Applied Computer Science at Pusan National University (PNU) offers a unique opportunity for advanced education in a globally recognized institution. PNU provides cutting-edge research in fields like AI, machine learning, and data science, fostering innovation and practical application. The program boasts world-class faculty, modern facilities, and strong industry connections, offering students access to real-world projects and internships. South Korea's growing tech industry also provides excellent career prospects, with potential job opportunities in leading companies. The multicultural environment and emphasis on research make PNU an ideal choice for aspiring computer science professionals.


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

Category

Details

Program Name

M.Tech in Applied Computer Science

Degree Awarded

Master of Technology (M.Tech) in Applied Computer Science

Course Duration

2 years (4 semesters)

Language of Instruction

English

Yearly Tuition Fees

Approximately KRW 4,500,000 - KRW 5,500,000

Total Tuition Fees

Approximately KRW 9,000,000 - KRW 11,000,000

Total Program Cost

Includes tuition fees, living expenses, and other fees

Eligibility

Bachelor’s degree in Computer Science or related fields

Admission Requirements

Academic transcripts, letters of recommendation, GRE (if applicable), English proficiency (TOEFL/IELTS), Statement of Purpose, CV

Application Intake

Spring (March) and Fall (September) intakes

Scholarship

Various scholarships available for international students (partial/full)

Career Prospects

Job opportunities in software development, AI, data science, cybersecurity, IT consulting in global tech companies, research, and academia

Curriculum Structure

Core Courses: Data Structures, Algorithms, Database Systems, AI, Machine Learning, Software Engineering, Networking, Electives, Research Project, Thesis