| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 4 Year Bachelor’s Degree | |
Choosing an M.Tech in Cyber Security and Machine Learning at Korea University, South Korea, offers a unique opportunity to gain expertise in two rapidly growing and interconnected fields. The program combines cutting-edge research, advanced technical training, and practical applications, preparing students to tackle modern challenges in data protection, AI-driven security, and intelligent systems. Korea University is renowned for its strong faculty, state-of-the-art labs, and global industry collaborations, ensuring hands-on exposure and career-ready skills. Studying in South Korea also provides cultural diversity, innovation-driven learning, and access to a thriving tech ecosystem, empowering graduates for global leadership roles in cybersecurity and AI.
Category |
Details |
|---|---|
|
Program Name |
M.Tech in Cyber Security and Machine Learning |
|
Degree Awarded |
Master of Technology (M.Tech) |
|
Course Duration |
2 years (4 semesters) |
|
Language of Instruction |
English (some electives may be in Korean) |
|
Yearly Tuition Fees |
Approx. USD 6,000 – 7,000 |
|
Total Tuition Fees |
Approx. USD 12,000 – 14,000 |
|
Total Program Cost |
Approx. USD 20,000 – 25,000 (including living expenses, books, insurance) |
|
Eligibility |
Bachelor’s degree in Computer Science, IT, Engineering, or related fields |
|
Admission Requirements |
Academic transcripts, CV, Statement of Purpose, 2 recommendation letters, English proficiency (TOEFL/IELTS), Interview (if required) |
|
Application Intake |
Spring (March) and Fall (September) |
|
Scholarship |
Merit-based, need-based, and Korean Government Scholarship (KGSP) |
|
Career Prospects |
Cybersecurity Analyst, Machine Learning Engineer, Data Scientist, Security Researcher, AI Specialist, Academia/PhD opportunities |
|
Curriculum Structure |
Core courses: Cybersecurity Fundamentals, Machine Learning, Cryptography, AI in Security; Electives: Data Mining, Cloud Security, Deep Learning; Thesis/Capstone Project |
