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M.Tech in Applied 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 Applied Artificial Intelligence at Pusan National University, South Korea

Choosing M.Tech in Applied Artificial Intelligence at Pusan National University offers a unique opportunity to study cutting-edge AI technologies in a globally recognized institution. The program combines theoretical foundations with practical applications, preparing students for real-world challenges. PNU’s strong research focus, state-of-the-art facilities, and collaboration with industry leaders provide an excellent environment for innovation. With South Korea being a hub for AI advancements, students benefit from exposure to a thriving tech ecosystem. Moreover, the diverse, international student body fosters global perspectives, making it an ideal choice for those seeking to excel in the rapidly evolving AI field.


M.Tech in Applied Artificial Intelligence at Pusan National University, South Korea, Program Details
 

Aspect

Details

Program Name

M.Tech in Applied Artificial Intelligence

Degree Awarded

Master of Technology (M.Tech)

Course Duration

2 years (4 semesters)

Language of Instruction

English

Yearly Tuition Fees

Approx. USD 4,000 - 5,000

Total Tuition Fees

Approx. USD 8,000 - 10,000

Total Program Cost

Approx. USD 12,000 - 14,000 (including living expenses)

Eligibility

Bachelor's degree in relevant field (Computer Science, Engineering, etc.)

Admission Requirements

Academic transcripts, English proficiency (TOEFL/IELTS), Statement of Purpose, Recommendation Letters, CV

Application Intake

Typically in Spring and Fall (specific dates vary)

Scholarship

Merit-based scholarships, Research Assistantships, and Financial Aid options available

Career Prospects

AI Specialist, Data Scientist, Machine Learning Engineer, Research Scientist, AI Software Developer, AI Consultant

Curriculum Structure

 Core courses in AI, machine learning, deep learning, and data science
 Elective courses in AI applications, robotics, and natural language processing
 Research projects and thesis work