| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 3 Year Bachelor’s Degree | |
| First Year Total Fees: | $ 31000(₹ 2250000) | |
| Total Course Fees: | $ 62000(₹ 4500000) | |
Choosing the MS in Machine Learning at Pohang University of Science and Technology (POSTECH) offers a unique opportunity to study at one of South Korea’s top universities. POSTECH is renowned for its cutting-edge research, world-class faculty, and state-of-the-art facilities. The program provides a strong foundation in both theoretical and practical aspects of machine learning, fostering innovation and interdisciplinary collaboration. POSTECH’s close ties with industry leaders and research institutions ensure students access to real-world applications, internships, and career opportunities. The university’s global reputation and commitment to excellence make it an ideal choice for aspiring ML professionals.
Category |
Details |
|---|---|
|
Program Name |
MS in Machine Learning |
|
Degree Awarded |
Master of Science (MS) |
|
Course Duration |
2 years |
|
Language of Instruction |
English |
|
Yearly Tuition Fees |
Approximately KRW 10,000,000 (~USD 7,500) |
|
Total Tuition Fees |
Approximately KRW 20,000,000 (~USD 15,000) |
|
Total Program Cost |
Includes tuition, living expenses, etc. Approx. KRW 30,000,000 (~USD 22,500) |
|
Eligibility |
Bachelor's degree in a relevant field (e.g., Computer Science, Engineering, Mathematics) |
|
Admission Requirements |
Transcripts, recommendation letters, statement of purpose, English proficiency (TOEFL/IELTS), GRE (optional) |
|
Application Intake |
Typically in Spring and Fall (Check specific dates) |
|
Scholarship |
Merit-based scholarships, Research Assistantships, Teaching Assistantships |
|
Career Prospects |
Data Scientist, Machine Learning Engineer, Research Scientist, AI Specialist, Industry roles in tech companies |
|
Curriculum Structure |
Core courses in Machine Learning, Deep Learning, Artificial Intelligence, and electives in specialized areas like Natural Language Processing, Computer Vision, etc. |
