| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 4 Year Bachelor’s Degree | |
| First Year Total Fees: | $ 18000(₹ 2200000) | |
| Total Course Fees: | $ 36000(₹ 4800000) | |
Choosing M.Tech in Data Engineering at Ulsan National Institute of Science & Technology (UNIST) offers a unique opportunity to study at a prestigious institution renowned for its cutting-edge research and innovation. UNIST provides a comprehensive curriculum focusing on data science, machine learning, big data, and AI technologies, preparing students for a competitive global job market. With state-of-the-art facilities and a strong emphasis on practical skills, students gain hands-on experience through collaborations with industry leaders. Additionally, Ulsan's vibrant tech ecosystem and strong academic network provide ample opportunities for research and career advancement in data engineering.
Category |
Details |
|---|---|
|
Program Name |
M.Tech in Data Engineering |
|
Degree Awarded |
Master of Technology (M.Tech) |
|
Course Duration |
2 years (4 semesters) |
|
Language of Instruction |
English |
|
Yearly Tuition Fees |
Approx. USD 5,000 - USD 7,000 (depends on the student's nationality and residency status) |
|
Total Tuition Fees |
Approx. USD 10,000 - USD 14,000 (for the entire program) |
|
Total Program Cost |
Approx. USD 15,000 - USD 20,000 (including living expenses and other fees) |
|
Eligibility |
Bachelor's degree in Computer Science, Information Technology, Engineering, or related fields. |
|
Admission Requirements |
Academic transcripts, TOEFL/IELTS (if applicable), Recommendation letters, Statement of Purpose, Resume, GRE (optional). |
|
Application Intake |
Fall (September) intake |
|
Scholarships |
Available scholarships based on merit or need, including university and government scholarships. |
|
Career Prospects |
Data Engineer, Data Scientist, Machine Learning Engineer, Big Data Analyst, AI Researcher, etc. |
|
Curriculum Structure |
1st Year: Core courses in Data Engineering, Machine Learning, Big Data Systems, AI. |
