| Course Level: | Doctorate | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | Master’s Degree | |
| First Year Total Fees: | $ 12000(₹ 1500000) | |
| Total Course Fees: | $ 24000(₹ 3000000) | |
Choosing a PhD in Data Science at Sejong University, South Korea, offers a unique blend of advanced research opportunities and industry relevance. The program provides access to cutting-edge labs, experienced faculty, and interdisciplinary collaboration in AI, machine learning, and big data analytics. Students benefit from South Korea’s strong tech ecosystem, fostering innovation and career prospects in academia and industry. Sejong University emphasizes practical applications, research excellence, and global networking, preparing graduates to tackle complex data challenges. With a supportive academic environment and state-of-the-art resources, pursuing a PhD here equips scholars with the expertise and skills to become leaders in the rapidly evolving field of data science.
Category |
Details |
|---|---|
|
Program Name |
PhD in Data Science |
|
Degree Awarded |
Doctor of Philosophy (PhD) in Data Science |
|
Course Duration |
3–4 years (full-time) |
|
Language of Instruction |
English / Korean (varies by course) |
|
Yearly Tuition Fees |
Approx. KRW 5,000,000–6,000,000 (~USD 3,800–4,600) |
|
Total Tuition Fees |
Approx. KRW 15,000,000–24,000,000 (~USD 11,500–18,400) |
|
Total Program Cost |
Including tuition, living, and miscellaneous: ~KRW 30,000,000–40,000,000 (~USD 23,000–30,700) |
|
Eligibility |
Master’s degree in Computer Science, Statistics, Mathematics, or related fields |
|
Admission Requirements |
Academic transcripts, Statement of Purpose, Letters of Recommendation, Research Proposal, English proficiency (TOEFL/IELTS) |
|
Application Intake |
Spring: January |
|
Scholarship |
Tuition waivers, research assistantships, teaching assistantships, merit-based scholarships |
|
Career Prospects |
Data Scientist, AI/ML Researcher, Big Data Analyst, University Faculty, Industry R&D roles |
|
Curriculum Structure |
Core Courses: Advanced Data Analytics, Machine Learning, Big Data Systems; Electives: AI, Deep Learning, Statistical Modeling; Dissertation & Research Seminars; Industry/Research Internship opportunities |
