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MS in Data Science

Course Level: Master's
Course Duration: 2 Years
Course Language English
Required Degree 3 Year Bachelor’s Degree
First Year Total Fees: $ 9200(₹ 7636000)
Total Course Fees: $ 24000(₹ 1527200)

Why Choose MS in Data Science at Korea University, South Korea

Choosing the MS in Data Science at Korea University offers a unique blend of academic excellence and cutting-edge research. As one of South Korea's top universities, it provides access to world-class faculty and state-of-the-art facilities. The program integrates data science theory with hands-on experience in artificial intelligence, machine learning, and big data analytics. Located in Seoul, a global tech hub, students benefit from proximity to industry leaders and ample internship opportunities. Korea University's global network, combined with its emphasis on innovation and critical thinking, equips graduates with the skills needed to excel in the rapidly growing field of data science.


MS in Data Science at Korea University, South Korea, Program Details
 

Aspect

Details

Program Name

MS in Data Science

Degree Awarded

Master of Science (MS) in Data Science

Course Duration

2 years (4 semesters)

Language of Instruction

English

Yearly Tuition Fees

Approx. 15,000,000 KRW

Total Tuition Fees

Approx. 30,000,000 KRW

Total Program Cost

Approx. 35,000,000 KRW (including living expenses)

Eligibility

Bachelor's degree in a related field (e.g., Computer Science, Engineering, Mathematics)

Admission Requirements

Application form, academic transcripts, recommendation letters, English proficiency (TOEFL/IELTS), Statement of Purpose, Resume/CV, GRE (optional)

Application Intake

Fall (September)

Scholarship

Merit-based scholarships and financial aid available

Career Prospects

Data Scientist, Data Analyst, Machine Learning Engineer, AI Specialist, Data Engineer in various industries (tech, finance, healthcare, etc.)

Curriculum Structure

Core courses in data science, machine learning, statistics, big data analytics, and electives based on specialization (AI, data mining, etc.)