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PhD in Machine Learning

Course Level: Doctorate
Course Duration: 2 Years
Course Language English
Required Degree Master’s Degree
First Year Total Fees: $ 20000(₹ 2500000)
Total Course Fees: $ 40000(₹ 5000000)

Why Choose PhD in Machine Learning at Ulsan National Institute of Science & Technology, South Korea

Choosing a PhD in Machine Learning at Ulsan National Institute of Science & Technology (UNIST) offers exceptional opportunities for research and innovation. UNIST is renowned for its cutting-edge technology, state-of-the-art labs, and collaborations with leading industries. The institute fosters a dynamic academic environment with a strong emphasis on interdisciplinary research. Students benefit from access to world-class faculty and resources, contributing to advancements in AI, robotics, and data science. Located in Ulsan, South Korea’s industrial hub, UNIST provides invaluable connections to the tech industry, enhancing career prospects for graduates in both academia and industry.


PhD in Machine Learning at Ulsan National Institute of Science & Technology, South Korea, Program Details
 

Aspect

Details

Program Name

PhD in Machine Learning

Degree Awarded

Doctor of Philosophy (PhD)

Course Duration

3 to 5 years

Language of Instruction

English

Yearly Tuition Fees

Approximately 5,000,000 KRW (~4,000 USD)

Total Tuition Fees

15,000,000 KRW (~12,000 USD) (for a 3-year duration)

Total Program Cost

Approximately 20,000,000 KRW (~16,000 USD), including living expenses

Eligibility

Master’s degree in a relevant field (Computer Science, Engineering, etc.)

Admission Requirements

Strong academic background, research proposal, letters of recommendation, GRE (optional)

Application Intake

Typically two intakes: Spring (March) and Fall (September)

Scholarship

Fully funded scholarships available, covering tuition, living expenses, and research funding

Career Prospects

Opportunities in academia, AI research labs, tech companies, and industry leaders (Samsung, LG, etc.)

Curriculum Structure

- Core courses in Machine Learning, AI, and Data Science
- Research work and thesis
- Electives in specialized areas like deep learning, robotics, etc.