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B.Tech in Data Engineering

Course Level: Bachelor's
Course Duration: 4 Years
Course Language English
Required Degree Class 12th
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Why Choose B.Tech in Data Engineering at Pusan National University, South Korea

Choosing B.Tech in Data Engineering at Pusan National University (PNU) offers students a unique opportunity to study in a globally recognized institution in South Korea. PNU’s cutting-edge curriculum combines data science, machine learning, and engineering principles, preparing students for the rapidly growing field of data engineering. The university’s strong industry ties provide valuable internship and research opportunities. With modern facilities, expert faculty, and a vibrant campus life, students can gain hands-on experience and access to global career opportunities. PNU’s location in Busan also offers a dynamic, tech-forward environment, ideal for fostering innovation and growth in data engineering.


B.Tech in Data Engineering at Pusan National University, South Korea, Program Details
 

Category

Details

Program Name

B.Tech in Data Engineering

Degree Awarded

Bachelor of Technology (B.Tech) in Data Engineering

Course Duration

4 years

Language of Instruction

English (main language of instruction; some courses may be in Korean)

Yearly Tuition Fees

Approx. $4,000 - $5,000 (varies for international students)

Total Tuition Fees

Approx. $16,000 - $20,000 for the entire program

Total Program Cost

Approx. $18,000 - $22,000 (including living expenses)

Eligibility

High school diploma or equivalent; background in mathematics and science

Admission Requirements

Academic transcripts, proof of English proficiency (TOEFL/IELTS), recommendation letters, personal statement, visa documents

Application Intake

Typically in March (Spring) and September (Fall)

Scholarship

Merit-based scholarships and financial aid options available for international students

Career Prospects

Data Engineer, Data Scientist, Machine Learning Engineer, Big Data Analyst, Business Intelligence Analyst, Software Engineer

Curriculum Structure

 Year 1: Foundation courses in programming, mathematics, and basic engineering principles
 Year 2: Core courses in data structures, algorithms, database management, and data systems
 Year 3: Advanced topics like machine learning, big data technologies, and cloud computing
 Year 4: Specialization courses and industry internship opportunities, capstone project