| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 3 Year Bachelor’s Degree | |
Choosing the MS in Data Science at Chonnam National University offers a strong academic foundation combined with cutting-edge research opportunities. The program emphasizes practical skills in data analysis, machine learning, and big data technologies, preparing students for the growing demand in the data-driven industry. The university’s distinguished faculty and advanced facilities provide a collaborative and innovative environment for learning. Additionally, South Korea’s booming tech industry offers ample career prospects, making this program an ideal choice for students aiming to excel in the rapidly evolving field of data science.
Feature |
Details |
|---|---|
|
Program Name |
Master of Science (MS) in Data Science |
|
Degree Awarded |
Master of Science (MS) |
|
Course Duration |
2 years |
|
Language of Instruction |
English |
|
Yearly Tuition Fees |
Approximately KRW 4,000,000 to KRW 5,000,000 (subject to change) |
|
Total Tuition Fees |
Approximately KRW 8,000,000 to KRW 10,000,000 for the entire program |
|
Total Program Cost |
Includes tuition fees + living expenses, approximately KRW 15,000,000 to KRW 20,000,000 per year, depending on lifestyle |
|
Eligibility |
Bachelor's degree in a relevant field (Computer Science, Engineering, Mathematics, etc.) with a strong academic record |
|
Admission Requirements |
Completed application form |
|
Application Intake |
Fall Semester (typically in August) or Spring Semester (typically in March) |
|
Scholarships |
Available based on merit and need, including research assistantships and partial tuition fee reductions |
|
Career Prospects |
High demand for graduates in data science roles, including data analyst, machine learning engineer, data engineer, and data scientist positions across various industries |
|
Curriculum Structure |
Core Courses: Data Analysis, Machine Learning, Big Data Technologies, Database Management, Data Visualization |
