| Course Level: | Doctorate | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | Master’s Degree | |
Choosing a PhD in Machine Learning at Tongmyong University (TU), South Korea, offers a unique opportunity to engage in cutting-edge research within a technologically advanced environment. TU emphasizes practical and industry-oriented learning, providing access to state-of-the-art labs, experienced faculty, and collaborations with leading tech companies. Located in Busan, a vibrant coastal city, the university fosters global exchange and innovation. The program focuses on real-world applications of AI and machine learning, equipping students with skills essential for academic, research, or industry careers. Competitive tuition, scholarships, and a supportive research ecosystem make TU an excellent choice for aspiring AI researchers.
Field |
Details |
|---|---|
|
Program Name |
PhD in Computer Engineering (Specialization in Machine Learning) |
|
Degree Awarded |
Doctor of Philosophy (PhD) |
|
Course Duration |
3 to 4 years |
|
Language of Instruction |
English (with some support in Korean) |
|
Yearly Tuition Fees |
Approx. USD 5,000 – 6,000 |
|
Total Tuition Fees |
Approx. USD 15,000 – 24,000 (depending on duration and credits) |
|
Total Program Cost |
Approx. USD 20,000 – 28,000 (including living expenses and admin fees) |
|
Eligibility |
Master’s degree in Computer Science, AI, or related field |
|
Admission Requirements |
Academic transcripts, research proposal, CV, letters of recommendation, proof of English proficiency (e.g., IELTS/TOEFL), interview (if required) |
|
Application Intake |
Spring (March) and Fall (September) semesters |
|
Scholarship |
Available (Merit-based, Research Assistantships, Tuition Waivers) |
|
Career Prospects |
Researcher, AI Scientist, University Professor, Data Scientist, R&D roles in industry |
|
Curriculum Structure |
Coursework (advanced machine learning, data science, deep learning), seminars, research projects, dissertation |
