| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 3 Year Bachelor’s Degree | |
| First Year Total Fees: | $ 31000(₹ 2250000) | |
| Total Course Fees: | $ 62000(₹ 4500000) | |
The MS in Data Mining at Pohang University of Science and Technology (POSTECH) offers a cutting-edge curriculum, blending theory and practical applications in data science. POSTECH’s world-class faculty and state-of-the-art research facilities provide an ideal environment for advanced learning. With a strong emphasis on machine learning, big data analytics, and data mining techniques, the program equips students with the skills needed to solve real-world problems. POSTECH’s global reputation and connections to leading tech companies in South Korea also enhance job prospects, making it an attractive choice for aspiring data scientists. Its innovative approach ensures students remain competitive in the rapidly evolving field.
Category |
Details |
|---|---|
|
Program Name |
MS in Data Mining |
|
Degree Awarded |
Master of Science (MS) in Data Mining |
|
Course Duration |
2 years (typically) |
|
Language of Instruction |
English |
|
Yearly Tuition Fees |
Approximately KRW 15,000,000 (subject to change) |
|
Total Tuition Fees |
Approximately KRW 30,000,000 for 2 years |
|
Total Program Cost |
Approximately KRW 35,000,000 - 40,000,000 (including living expenses) |
|
Eligibility |
A Bachelor's degree in a relevant field (e.g., Computer Science, Mathematics, Engineering, etc.) |
|
Admission Requirements |
Completed application, academic transcripts, recommendation letters, statement of purpose, English proficiency test (TOEFL/IELTS) |
|
Application Intake |
Fall (September) and Spring (March) |
|
Scholarship |
Scholarships may be available for outstanding students based on merit or need (details on the POSTECH website) |
|
Career Prospects |
Graduates often work in tech companies, research institutions, and industries requiring data science expertise, including positions like data scientist, machine learning engineer, data analyst, etc. |
|
Curriculum Structure |
Includes courses on Machine Learning, Big Data Analytics, Data Mining Techniques, Statistical Methods, and Advanced Algorithms. Practical experience via research and projects is emphasized. |
