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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: $ 7200(₹ 560000)
Total Course Fees: $ 14400(₹ 1120000)

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

Choosing a PhD in Machine Learning at KAIST offers access to cutting-edge research, world-class faculty, and a collaborative academic environment. KAIST is renowned for its strong focus on innovation, providing students with resources and opportunities to work on advanced machine learning topics across various domains. Its proximity to South Korea’s thriving tech industry offers ample prospects for research collaborations, internships, and career growth. Additionally, the institute’s global reputation, diverse international community, and state-of-the-art facilities make KAIST an ideal place for those looking to make a significant impact in the field of machine learning.


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

Attribute

Details

Program Name

PhD in Machine Learning

Degree Awarded

Doctor of Philosophy (PhD)

Course Duration

4–5 years

Language of Instruction

English

Yearly Tuition Fees

Approx. $5,000 - $10,000 USD per year

Total Tuition Fees

Approx. $20,000 - $50,000 USD for the entire program

Total Program Cost

Varies; includes living costs (~$10,000 - $15,000 annually)

Eligibility

Master’s degree or equivalent in Computer Science or related fields

Admission Requirements

Academic transcripts, research proposal, recommendation letters, GRE scores (optional), proof of English proficiency (TOEFL/IELTS)

Application Intake

Spring (March) and Fall (September) intakes

Scholarship

KAIST offers various scholarships, including full tuition and living stipends for outstanding candidates

Career Prospects

Research positions, academic roles, AI/ML roles in tech companies (e.g., Samsung, LG, Google, etc.), start-ups

Curriculum Structure

 Core courses in Machine Learning, AI, Deep Learning, etc. 
 Electives in specialized topics like NLP, Computer Vision, Reinforcement Learning 
 Research-focused with emphasis on publishing papers and dissertation work