Full Time – Master of Science in Internet of Things

Master of Science in Internet of Things - MET

About the program

The programme aims to create a competent, skilled and competitive graduate in the field of IoT to meet the needs of industry at the national and international levels, which can adapt generic skills holistically as the practice of professional engineers and perform ethical and loyal work the global community.

The program is open to all graduates from electrical and electronic engineering, mechanical and manufacturing engineering, civil and environmental engineering, technical and vocational education, technology management and business, applied science and technology, computer science and information technology and engineering technology.

Full Time – International

Minimum 3 Semesters (1 Year) 

  1. IoT Engineer/Developer
  2. IoT Infrastructure Architect
  3. Vulnerability/Cyber Engineer
  4. Test Engineer
  5. Tech Professionals
  6. IoT Sales Consultant

Master of Science in Internet of Things is accredited by the Malaysia Qualification Agencies (MQA) – MQA/FA12000

Entry Requirement

Basic Qualifications

  • Bachelor Degree in Engineering or Science from recognized institutions with minimum CPA of 2.50 and related experience in related field recognized by the UTHM Senate.
  • Minimum score of MUET Band 3 or TOELF 500 or IELTS 5.0.
List of Courses

Year 1 

Semester 1

Introduction to Internet of Things
IoT Devices and Applications
Network and Communication in IoT
Research Methodology
Elective I
Elective II

Semester 2

Smart Sensor and Embedded System
Data Management and Applications
Master Project I
Elective III
Elective IV

Semester 3

Master Project II

 

Elective Subjects:

SpecializationCourses
1) Electrical and Electronic Engineering

1. Smart WSN Technologies

2. Signal & Interfacing System

3. Networking Modelling & Performance

4. IoT Circuit Design

2) Computer Science and Information Technology

1. Data Science

2. Machine Learning

3. Mobile Application

4. Computer and Information Security

3) Mechanical and Manufacturing Engineering

1. Computer Integrated Manufacturing

2. Design for Manufacturing and Assembly

3. Modelling and Simulation in Structural Mechanics

4. Adaptive and Intelligent Control

4) Civil Engineering and Built Environment

1. Dam-Break Operation and Maintenance

2. Intelligent and Sustainable Building Management

3. Slope Stability Assessment and Monitoring

4. Structural Health Monitoring

5)  Engineering Technology

1. Smart Manufacturing

2. Smart Energy Management

3. Smart Waste Management

4. Building Intelligent Management

6) Applied Science and Technology

1. Knowledge Discovery and Data Mining

2. Operational Research in Industry

3. Industrial Statistical Quality Control

4. Fuzzy Logic and its Applications

7) Technical and Vocational Education

1. Instructional Design for IoT

2. Social Learning Environment for IoT

3. MOOC for IoT

4. IoT Technologies for Virtual Learning Environment

8) Technology Management and Business

1. Business Data Analytics

2. Information and Communication Technology Management in Construction

3. People and HR Analytics

4. Sustainable Facilities Management

 

Programme Educational Objectives

PEO 1

Apply the knowledge acquired to be competent in practical work of Internet of Things (IoT)

PEO 2

Practice the profession of science, engineering, management and technology which involve IoT in industry

PEO 3

To perform continuous learning on IoT technology independently at advanced level

PEO 4

To produce technocrats who apply the knowledge gained in IoT and entrepreneurship in the industry

Programme Learning Outcome
  1. Demonstrate in-depth knowledge and understanding of theoretical and advanced concepts in science, engineering, management, and technology which involve IoT in industry
  2. Solve industrial problems by using scientific skill and critical thinking
  3. Apply advanced practical skill in the discipline of IoT
  4. Relate expertise and perform ethical responsibilities to the community in the field of IoT
  5. Demonstrate leadership qualities through effective communication and teamwork
  6. Competently use a wide range of suitable digital technologies and appropriate software to enhance study and practice of IoT technology
  7. Apply mathematical and other quantitative, qualitative tools to analyze and evaluate numerical and graphical data for IoT study
  8. To manage information related to IoT technical knowledge for lifelong learning 
  9. Exemplify self-advancement through continuous academic and professional development in the field of IoT
  10. To foster entrepreneurial interest and skills in managing IoT-related projects within the organization
  11. Conduct IoT projects based with minimal supervision and compliance with legal, ethical, and professional codes of practice