Seoul National University

Master in System Semiconductor Engineering for AI

Seoul, South Korea

The Master in System Semiconductor Engineering for AI at Seoul National University is a program for international students taught in English.

Introduction

Seoul National University, established in 1946, is South Korea's flagship national research university and hosts roughly 28,000 students, including a substantial international community. SNU offers a comprehensive range of undergraduate and graduate disciplines and is noted for high research output, extensive library resources and advanced laboratory facilities. The institution combines rigorous academics with opportunities for interdisciplinary study and global collaboration.

Campus life at SNU is designed to support student wellbeing and engagement, featuring modern dormitories with en-suite options, free shuttle services, multiple dining venues including vegetarian choices, and numerous student clubs. The university provides robust health services in partnership with SNU Hospital, Korean language programmes for international students, and a wide spectrum of cultural and recreational activities such as arts events and competitive sports.

SNU's strong academic reputation and industry connections make it a competitive choice for students pursuing research, technology, public policy and the arts, while its location in Seoul offers direct access to major corporations, start-up ecosystems and cultural institutions. International students benefit from exchange programmes, academic advising and a vibrant campus culture that balances scholarly rigor with practical opportunities and city life.

About the Program

The Master in System Semiconductor Engineering for AI is a 2-year degree at Seoul National University, focusing on AI and semiconductor technology. It's for students who thrive in innovation and want to contribute to tech advancements.

The curriculum covers semiconductor physics, AI algorithms, and system design, with hands-on projects and internships. This practical experience prepares graduates for the evolving tech landscape.

Graduates can become Semiconductor Engineers, AI Systems Developers, Research Scientists, or Product Managers, finding opportunities in tech companies, research institutions, and startups focused on AI and semiconductor innovations.

Similar Programs You Can Apply To

Direct application via Global Admissions is not available for this program. Browse similar partner programs below or visit the university's site to apply directly.

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