| Course Level: | Doctorate | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | Master’s Degree | |
| First Year Total Fees: | $ 12000(₹ 1000000) | |
| Total Course Fees: | $ 24000(₹ 2000000) | |
Choosing a PhD in Data Science at Jeju National University (JNU), South Korea, offers a unique blend of academic excellence, innovation, and cultural experience. JNU provides cutting-edge research opportunities in artificial intelligence, machine learning, and big data analytics, supported by advanced facilities and expert faculty. The program emphasizes interdisciplinary collaboration and real-world applications, preparing scholars for impactful global careers. Located on the beautiful Jeju Island, a UNESCO World Heritage site, students enjoy a serene, multicultural environment that fosters creativity and focus. JNU’s commitment to internationalization and research excellence makes it an ideal destination for pursuing a PhD in Data Science.
Category |
Details |
|---|---|
|
Program Name |
PhD in Data Science |
|
Degree Awarded |
Doctor of Philosophy (PhD) in Data Science |
|
Course Duration |
3 to 4 years (full-time) |
|
Language of Instruction |
English and Korean |
|
Yearly Tuition Fees |
Approximately USD 4,000 – 5,000 per year |
|
Total Tuition Fees |
Approximately USD 12,000 – 20,000 (for entire program) |
|
Total Program Cost |
Around USD 20,000 – 25,000 including living expenses |
|
Eligibility |
Master’s degree in Computer Science, Statistics, Data Science, or related field; strong research background |
|
Admission Requirements |
Completed application form, academic transcripts, research proposal, recommendation letters, proof of English proficiency (TOEFL/IELTS), and interview (if required) |
|
Application Intake |
Spring (March) and Fall (September) semesters |
|
Scholarship |
University scholarships, Korean Government Scholarship Program (KGSP), and research assistantships available |
|
Career Prospects |
Data Scientist, AI Researcher, University Professor, Big Data Analyst, Machine Learning Engineer, Research Scientist in academia or industry |
|
Curriculum Structure |
Core courses (Advanced Statistics, Machine Learning, Big Data Analytics), Electives, Research Seminars, Dissertation Proposal, and Doctoral Thesis Defense |
