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MS in Control Systems Engineering

Course Level: Master's
Course Duration: 2 Years
Course Language English
Required Degree 3 Year Bachelor’s Degree
First Year Total Fees: $ 15000(₹ 1200000)
Total Course Fees: $ 30000(₹ 2400000)

Why Choose MS in Control Systems Engineering at Sungkyunkwan University( SKKU), South Korea

Choosing the MS in Control Systems Engineering at Sungkyunkwan University (SKKU) offers a unique opportunity to study at one of South Korea’s top universities. SKKU provides cutting-edge research facilities, strong industry ties, and a focus on advanced technologies, ensuring a solid foundation in control systems. The program emphasizes practical skills, with hands-on projects and internships that enhance learning. SKKU's international collaboration network opens doors for global exposure and career advancement. Additionally, the university's location in Seoul provides access to a vibrant tech ecosystem, fostering both academic and professional growth in the rapidly evolving field of control systems.


MS in Control Systems Engineering at Sungkyunkwan University( SKKU), South Korea, Program Details
 

Category

Details

Program Name

MS in Control Systems Engineering

Degree Awarded

Master of Science (MS)

Course Duration

2 years (typically)

Language of Instruction

English

Yearly Tuition Fees

Approx. KRW 10,000,000 (subject to change)

Total Tuition Fees

Approx. KRW 20,000,000 (for the entire program)

Total Program Cost

Approx. KRW 22,000,000 (including living expenses)

Eligibility

Bachelor’s degree in Engineering or related fields

Admission Requirements

Completed application form, academic transcripts, recommendation letters, GRE/TOEFL/IELTS scores, personal statement

Application Intake

Spring (March) and Fall (September)

Scholarship

Scholarships available based on merit and financial need

Career Prospects

Opportunities in industries such as robotics, automation, manufacturing, aerospace, automotive, and academia

Curriculum Structure

Core courses in control theory, system dynamics, automation, and electives in advanced topics like robotics, machine learning, and signal processing