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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 Sejong University, South Korea

Choosing the M.Tech in Applied Artificial Intelligence at Sejong University, South Korea, offers a unique blend of cutting-edge AI education and practical industry exposure. The program emphasizes machine learning, deep learning, natural language processing, and data-driven problem solving, equipping students with hands-on skills to tackle real-world challenges. Sejong University’s strong industry collaborations, modern research labs, and experienced faculty provide a dynamic learning environment. Studying in South Korea, a global hub for technology and innovation, also offers networking opportunities and cultural enrichment. This program prepares graduates for advanced careers in AI research, development, and application across diverse sectors.


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

Category

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. KRW 6,000,000 – 7,000,000 (≈ USD 4,500–5,500)

Total Tuition Fees

Approx. KRW 12,000,000 – 14,000,000 (≈ USD 9,000–11,000)

Total Program Cost

Approx. KRW 15,000,000 – 18,000,000 (including living expenses)

Eligibility

Bachelor’s degree in Computer Science, IT, Engineering, or related field

Admission Requirements

Transcript, Statement of Purpose, Recommendation Letters, English proficiency (TOEFL/IELTS)

Application Intake

Spring (March) and Fall (September)

Scholarship

University scholarships for outstanding international students; partial tuition waivers available

Career Prospects

AI Engineer, Data Scientist, Machine Learning Engineer, Researcher in AI and Robotics, R&D roles in tech companies

Curriculum Structure

Core Courses: Machine Learning, Deep Learning, NLP, Computer Vision; Electives: Big Data Analytics, AI in Robotics; Thesis/Capstone Project