Program Overview

Master of Science (Systems Engineering)

Introduction

The Master of Science (Systems Engineering) program is designed to combine rigorous and in-depth fundamentals of system engineering, emphasizing an interdisciplinary approach between engineering, technology, and ICT to fulfill the needs of industries. The program offers five sub-disciplines: General electives, Intelligence system, Industrial system, Communication system, and System for Industrial Revolution 4.0 (IR4.0). Students will have the flexibility to select a specialization from these five sub-disciplines.

Program Educational Objectives

1. Proficient in the contemporary knowledge and in developing new knowledge in the field of systems engineering.
2. Prominent and resilient leaders in organizations with effective professional skills.
3. Uphold ethical values in carrying out responsibilities towards organization and society.

Program Learning Outcomes

1. Synthesize advanced information, specialized concepts, theories, and methods in the field of systems engineering.
2. Construct solutions to complex problems in systems engineering.
3. Apply practical skills and tools based on the latest development in the field of systems engineering.
4. Collaborate with different people in learning and working communities, and network with other groups ethically and professionally.
5. Communicate effectively the knowledge, concepts, and ideas to diverse audiences using the appropriate methods.
6. Use appropriate digital technologies and software to enhance work or practice in systems engineering.
7. Evaluate numerical and graphical data in systems engineering by applying mathematical, quantitative, and qualitative tools/methods.
8. Demonstrate autonomy, leadership, and responsibility in managing work within own team and with other teams in various situations.
9. Demonstrate self-advancement through continuous academic or professional development.
10. Initiate or lead entrepreneurial ventures or projects.
11. Demonstrate adherence to ethical and professional codes of practice in executing work.

Program Structure

Courses

• Core Courses (Compulsory)
  • MRTL 1113: Systems Engineering and Analysis
  • MRTL 1143: Systems Optimization and Analysis for Operations
  • MRTL 1173: Simulation Modelling and Analysis
  • MRTL 1183: Project Management for Systems Engineer
  • MRTL 1193: Internet of Everything (IoE)
  • MRTL 1463: Intelligent Data Analysis
• Elective Course (Choose four (4) only)
  • General Elective Discipline
    • MRTL 1123: Engineering Management, Safety and Economy
    • MRTL 1133: Data Analysis for Systems Engineering
    • MRTL 1153: Entrepreneurship for Scientists and Engineers
    • MRTL 1163: Scientific Computing for System Engineer
    • MRTL 2813: Special Topic
    • MRTL XXX3: Open Elective (Faculty)
    • MXXX XXX3: Open Elective (University)
  • Intelligence Systems Discipline
    • MRTL 1413: Intelligent Systems
    • MRTL 1423: Human-Computer Interaction Design
    • MRTL 1433: Biometrics
    • MRTL 1443: Advanced Sensor Systems
    • MRTB 1163: Cloud Computing for Big Data
  • Industrial Systems Discipline
    • MRTL 1323: Ergonomic and Human Factor Engineering
    • MRTE 2533: Lean Operations
    • MRTE 2543: Supply Chain Management
    • MRTE 2563: Maintenance Management
  • Communication Systems Discipline
    • MRTL 1453: Ubiquitous Computing
    • MRTL 1613: Optical Engineering and Communications
    • MRTL 1623: Current Topics in Wireless Technology
    • MANN 2093: Wireless Communication and Networking
  • System for Industrial Revolution 4.0 Discipline
    • MRTL 1513: Smart Grid and Sustainable Electricity Systems
    • MRTL 1523: Internet of Things (IoT) for Disruptive Technology
    • MRTL 1533: Phyton Programming for Systems Engineer
    • MRTL 1543: Renewable, Clean Energy and Hydrogen Economy
    • MRTA 2623: Wireless Infrastructure Security
    • MRTS 1053: System Processor and Peripherals

Entry Requirement

• Local Students
• International Students

Award Requirement

Students should:

• Pass all courses.
• Achieve a total of 46 credit hours with a minimum of cumulative 'B' grade or CGPA of 3.0
• Pass Master Project and produce a Master Project report successfully.

Admission

Programmes Fees

• Local Students
• International Students