| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 3 Year Bachelor’s Degree | |
| First Year Total Fees: | $ 4800(₹ 380000) | |
| Total Course Fees: | $ 9600(₹ 780000) | |
Kwangwoon University in South Korea offers a cutting-edge MS in Data Analytics program designed to equip students with advanced skills in data mining, machine learning, and statistical modeling. The curriculum emphasizes practical experience through industry projects and research opportunities, fostering problem-solving and analytical thinking. Students benefit from state-of-the-art laboratories, expert faculty, and collaborations with leading tech companies, enhancing employability in the global data-driven market. Additionally, the university’s strategic location in Seoul provides access to Korea’s vibrant tech ecosystem. With a focus on innovation, practical training, and global perspectives, Kwangwoon University prepares graduates for successful careers in data analytics.
Category |
Details |
|---|---|
|
Program Name |
MS in Data Analytics |
|
Degree Awarded |
Master of Science (M.S.) |
|
Course Duration |
2 years (full-time) |
|
Language of Instruction |
English/Korean (check specific courses) |
|
Yearly Tuition Fees |
Approx. KRW 4,500,000 – 6,000,000 (~USD 3,300 – 4,400) |
|
Total Tuition Fees |
Approx. KRW 9,000,000 – 12,000,000 (~USD 6,600 – 8,800) |
|
Total Program Cost |
Including living expenses: ~KRW 20,000,000 (~USD 14,700) per 2 years |
|
Eligibility |
Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field |
|
Admission Requirements |
Academic transcripts, CV, Statement of Purpose, Letters of Recommendation, English proficiency (TOEFL/IELTS) |
|
Application Intake |
Spring (March) & Fall (September) |
|
Scholarship |
Merit-based scholarships, government scholarships, and university scholarships available |
|
Career Prospects |
Data Analyst, Business Analyst, Data Scientist, AI/ML Engineer, Big Data Specialist |
|
Curriculum Structure |
Core courses (Data Mining, Machine Learning, Statistical Modeling), Electives (AI, Big Data Analytics, Data Visualization), Capstone/Thesis Project |
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