Industrial and Systems Engineering

The Ph.D. program emphasizes creative and interdisciplinary research that opens up horizons in new research fields. While research in the graduate program is based on the strong fundamentals built in undergraduate study, the research results from the graduate program are fed into the undergraduate education system as practical case studies.

Mandatory General Course

• Special Lecture on Leadership
• Ethics and Safety II
• Scientific Writing
• Introduction to Computer Application
• Probability and Statistics
• Introduction to Materials and Engineering
• Engineering Economy & Cost Analysis
• Introduction to Instruments
• Entrepreneurship and Business Strategies
• Patent Analysis and Invention Disclosure
• Collaborative System Design and Engineering

Elective Major Courses

• Human Centered Systems Design
• Advanced Topics in Engineering Economy & Cost Analysis
• Production System Design
• Optimal Location of Facilities
• Linear Programming
• Simulation and System Modeling
• Systems Engineering
• Convex Optimization
• Network Theory and Applications
• Scheduling Theory and Applications
• Business Telecommunication Systems
• Genetic Algorithms and Applications
• Convex Optimization
• Regression Analysis: Theory and Practice
• Manufacturing System and Supply Chain
• CAD/CAM and Geometric Modeling
• Product Lifeclcle Management
• Knowledge-Based Design System
• Advanced Information System Engineering
• Information Security Policy & management
• Human-Computer Interaction: Theory and Design
• Military Operations Research Theory and Applications
• War Game Modeling
• Analysis of Weapon Systems
• Healthcare Service Delivery Systems
• Portfolio management and Financial Optimization
• Structuring and Pricing of Financial Products
• Risk Management
• Fundamentals of Systems Engineering
• Research in Financial Economics
• Analysis of Inventory Management Systems
• Integer Programming
• Stochastic Processes
• Queueing Theory
• Combinatorial Optimization
• Intelligent Systems & Soft Computing
• Wireless and Cellular Communication Systems
• Supply Chain Optimization
• Mathematical Statistics
• Forecasting and Time Series Analysis
• Design and Analysis of Experiments
• Life Testing and Survival Analysis
• Quality Engineering
• Data Mining
• Introduction to AI/ES Technology
• Stochastic Modeling II
• Material Storage & Handling Systems
• Cognitive Engineering
• Special Topics in Industrial Engineering II

Research

• Thesis (Doctoral Course)
• Seminar in Ph.D.
• Individual Study (Ph.D.)

Requirements

• Application Form
• Statement of Financial Resources
• Letters of Recommendation
• Degree/Diploma
• Transcripts
• English Proficiency Test Reports (EPT)
  TOEFL (PBT 560, CBT 220, IBT 83), IELTS 6.5, TEPS 599, TOEIC 720 or higher
• Curriculum Vitae
• List of Honors and Awards
• Employment Certificate
• School Profile/Credit Rating System
• The application fee is KRW 80,000 or USD 80. Payment can be made by credit card or bank transfer after writing application form online. Please note that application fee is non-refundable and you cannot modify application form once you pay the application fee.

Scholarships

• KAIST International Student Scholarship
• Korean Government Scholarship (KGSP)
• Russian Government Scholarship – Global Education Program (GEP)