| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 4 Year Bachelor’s Degree | |
Choosing the M.Eng in Computer Engineering at Seoul National University offers a unique opportunity to study at one of Asia’s top institutions. SNU’s renowned faculty, cutting-edge research facilities, and strong industry connections provide a robust environment for academic and professional growth. The program emphasizes practical, hands-on learning, preparing students for leadership roles in the tech industry. Located in Seoul, a global technology hub, students have access to numerous internship opportunities and collaborations with top companies. The diverse international community fosters cross-cultural exchange, enhancing both personal and academic development in a dynamic, innovative setting.
Category |
Details |
|---|---|
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Program Name |
Master of Engineering (M.Eng) in Computer Engineering |
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Degree Awarded |
Master of Engineering (M.Eng) in Computer Engineering |
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Course Duration |
1.5 to 2 years (depending on individual progress) |
|
Language of Instruction |
English |
|
Yearly Tuition Fees |
Approximately USD 10,000 - USD 12,000 per year |
|
Total Tuition Fees |
Approximately USD 20,000 - USD 24,000 for the entire program |
|
Total Program Cost |
Including living expenses, approximately USD 40,000 - USD 50,000 for the entire program |
|
Eligibility |
A Bachelor’s degree in Computer Engineering, Electrical Engineering, or related fields |
|
Admission Requirements |
Minimum GPA requirement (usually around 3.0/4.0) |
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Proof of English proficiency (TOEFL, IELTS, or equivalent) |
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Letters of recommendation, Statement of Purpose, and academic transcripts |
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Application Intake |
Fall and Spring intakes (specific dates may vary, typically in April for Fall and October for Spring) |
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Scholarships |
Various merit-based scholarships and research assistantships available |
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Career Prospects |
Graduates can pursue careers in research, development, and leadership roles in tech companies globally. |
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Curriculum Structure |
Core courses in computer systems, algorithms, and hardware |
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Elective courses in AI, machine learning, networking, and software engineering |
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Hands-on project work and a thesis (or capstone project) |
