| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 3 Year Bachelor’s Degree | |
| First Year Total Fees: | $ 25000(₹ 2200000) | |
| Total Course Fees: | $ 50000(₹ 4400000) | |
Choosing an MS in Data Science at Hallym University, South Korea, offers a unique blend of academic excellence and practical experience. Hallym provides a cutting-edge curriculum combining machine learning, big data analytics, and AI, guided by experienced faculty engaged in international research. The program emphasizes hands-on projects and industry collaboration, ensuring students gain real-world skills. Located in South Korea, a global technology hub, it provides exposure to innovative tech companies and research institutes. Additionally, Hallym fosters a multicultural environment, encouraging global networking and collaboration. Graduates leave well-prepared for careers in data-driven industries worldwide, blending technical expertise with analytical insight.
Category |
Details |
|---|---|
|
Program Name |
MS in Data Science |
|
Degree Awarded |
Master of Science (M.S.) |
|
Course Duration |
2 years (4 semesters) |
|
Language of Instruction |
English |
|
Yearly Tuition Fees |
KRW 6,000,000 – 7,000,000 (~USD 4,500–5,500) |
|
Total Tuition Fees |
KRW 12,000,000 – 14,000,000 (~USD 9,000–11,000) |
|
Total Program Cost (including living) |
KRW 25,000,000 – 30,000,000 (~USD 18,000–22,000) |
|
Eligibility |
Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related fields; Minimum GPA 2.5/4.0 |
|
Admission Requirements |
Application form, transcripts, statement of purpose, recommendation letters, English proficiency (TOEFL/IELTS) |
|
Application Intake |
Spring (March) & Fall (September) |
|
Scholarship |
Tuition waivers, merit-based scholarships, government scholarships for international students |
|
Career Prospects |
Data Scientist, AI/ML Engineer, Business Analyst, Big Data Analyst, Researcher in AI & Analytics |
|
Curriculum Structure |
Core courses: Machine Learning, Big Data Analytics, Data Mining, AI, Statistical Modeling; Electives: Natural Language Processing, Deep Learning, Cloud Computing; Thesis or Capstone Project |
