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Master of Science inSmart Manufacturing

Master Industry 4.0 principles, automation systems, and data-driven manufacturing. This programme prepares engineers for leadership roles in advanced technology engineering environments, supported by the latest industry advancements.

Why Study with Us

Our rigorous approach bridges the gap between theoretical knowledge and practical applications promoting a comprehensive understanding of intelligent interconnected systems within the next-generation manufacturing landscape.

We leverage immersive learning experiences including hands-on projects, case studies and industry collaborations to cultivate adept problem-solvers ready to ignite innovation in manufacturing landscape.

These experiential approaches will provide you with invaluable real-world exposure while also building the critical thinking abilities required to successfully navigate the complex manufacturing scenarios.

Our Advantage

First in Malaysia: Pioneering Multidisciplinary "Manufacturing" Master Programme

We are proud to offer the first multidisciplinary Master’s programme in Manufacturing in Malaysia. This innovative programme is designed to provide a comprehensive education that integrates various fields of study within manufacturing, setting a new benchmark for higher education in the region. As a student, you will be part of a pioneering cohort that benefits from a unique, holistic approach to manufacturing education.

Customised to Industry Demand: Meeting the Growing Need for Skilled Professionals in Smart Manufacturing

Our programme is meticulously crafted to address the increasing demand for skilled professionals in smart manufacturing. By aligning our curriculum with industry needs, we ensure that our graduates are well-prepared to meet the challenges of modern manufacturing environments. This focus on industry relevance enhances your employability and equips you with the expertise needed to drive innovation and efficiency in your workplace.

Cutting-Edge Curriculum: Incorporating the Latest Advancements and Best Practices in Smart Manufacturing

Our curriculum covers the latest advancements and best practices in smart manufacturing, ensuring that you are at the forefront of technological innovation. You will gain hands-on experience with cutting-edge technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and data analytics. This comprehensive education ensures that you are well-versed in the tools and techniques shaping the future of manufacturing, preparing you to lead and innovate in your field.

Master of Science in Smart Manufacturing Course Overview

Master of Science in Smart Manufacturing Course Essentials Quick Facts

All the facts and figures about your study programme at a glance

Study Model

Online ODL

1 to 3 Years – Full Time
1 Year and 8 Months to 4 Years – Part Time
Online ODL

MASTER OF SCIENCE IN SMART MANUFACTURING

44 Credits

Language

English

Accreditation & Recognition

Accreditation

Malaysian Qualifications Agency (MQA)
(MQA/PA 17412)

Fees & Scholarships*

Tuition Fees

RM24,200

Scholarships Available

Study Duration

Study Start

Jan, May & Sept Terms

Duration

1 to 3 Years – Full Time
1 Year and 8 Months to 4 Years – Part Time

Apply Now

Top Core Courses

Get a head start on your career with our Master of Science in Smart Manufacturing. Here are some core courses designed to equip you with the most relevant and up-to-date skill set:

Artificial Intelligence in Manufacturing

This course offers an in-depth exploration of the symbiotic relationship between artificial intelligence and the manufacturing sector. Through theoretical exploration and hands-on experience, you will cultivate the expertise necessary to harness AI’s potential for manufacturing optimisation while navigating its intricate ethical landscapes.

Manufacturing Data Analytics

Manufacturing Data Analytics is a course that provides a comprehensive understanding of the principles, techniques, and tools required to manage and analyse data within the manufacturing domain. What sets this course apart is its emphasis on hands-on practical exercises, ensuring that you not only understand the theory but also gain the skills needed to tackle real-world data engineering challenges within the manufacturing industry.

Additive Manufacturing

You will be exposed to the theory and concepts of different types of additive manufacturing systems. Before submitting and printing the 3D Model to the 3D Printer, you will learn about monitoring and control for additive manufacturing.

Advanced Robotics

This course covers the integration of robotic control, motion planning, machine learning, AI, autonomous navigation, and human-robot interaction within the industrial context to enhance productivity, flexibility, and safety. By focusing on the integration of these technologies within industrial settings, students gain the skills necessary to design and deploy robotic systems that optimize production processes, ensure worker safety, and adapt to evolving manufacturing needs.

Your Learning Pathway: From Basics to Mastery

Full-Time

Year 1

Students will establish a comprehensive foundation in advanced manufacturing technologies in the first year. They will begin with essential research methodologies and core concepts in artificial intelligence, IoT, and data analytics. Practical skills in these domains will be developed through hands-on projects and coursework. Students will also gain exposure to cutting-edge technologies like additive manufacturing and advanced robotics. The year will culminate in a significant dissertation project, where students apply their knowledge to solve real-world manufacturing challenges, demonstrating their competency and readiness for professional roles.

Online (ODL) Part-Time

Year 1

In the first year, part-time students will start building their foundation in advanced manufacturing technologies. They will be introduced to core concepts and research methodologies for understanding and implementing modern manufacturing systems. Practical skills will be developed gradually, ensuring a solid grasp of fundamental principles.

Year 2

In the second year, students will advance their knowledge with more specialised courses focusing on intelligent data visualisation and effective communication of their findings. They will also choose an elective course to specialise in an area of interest. Students will focus on their dissertation project, applying their learned skills to address real-world problems, integrating their knowledge, and demonstrating their competency in advanced manufacturing technologies. This comprehensive approach ensures they are well-prepared for professional roles in various industries.

Study Content

Core courses

No.	Course Code	Course Title	Credit Hours
1	TEL504/03	Internet of Things Technology (APEL.C)	3
2	TME501/03	Manufacturing Data Analytics (APEL.C)	3
3	TME502/03	Artificial Intelligence in Manufacturing (APEL.C)	3
4	TME506/03	Advanced Robotics (APEL.C)	3
5	TME507/03	Additive Manufacturing (APEL.C)	3
6	TRM505/04	Research Methods	4
Subtotal			19

Elective courses (Choose one)

No.	Course Code	Course Title	Credit Hours
1	TME503/03	Virtual Reality and Augmented Reality in Manufacturing (APEL.C)	3
1	TME504/03	Introduction to Industry 5.0 (APEL.C)	3
Subtotal			3

Project course

No.	Course Code	Course Title	Credit Hours
1	TME515/24	Dissertation	22
Subtotal			22
Total			44

Prerequisites

No.	Course Code & Title	Prerequisite
1	TME515/22 Dissertation	Pass 2 Courses with at least CGPA = 3.0

Admission

Entry Requirement

i. A Bachelor’s degree in Engineering or Engineering Technology in Manufacturing or Mechatronics or related fields with a minimum CGPA of 2.75 or equivalent, as accepted by the HEP Senate; or

ii. A Bachelor’s degree in Engineering or Engineering Technology in Manufacturing or Mechatronics or related fields or related fields or equivalent with a minimum CGPA of 2.50 and not meeting a CGPA of 2.75, can be accepted subject to rigorous internal assessment; or

iii. A Bachelor’s degree in Engineering or Engineering Technology in Manufacturing or Mechatronics or related fields or equivalent with a minimum CGPA of 2.00 and not meeting a CGPA of 2.50, can be accepted subject to a minimum of 5 years of working experience in the relevant field and rigorous internal assessment.

Candidates without a related qualification in the field/s or working experience in the relevant fields must undergo prerequisite courses in electronic engineering and meet the minimum CGPA based on (i) to (iii).

English Competency Requirement (For international students)

Achieve a minimum of Band 4 in MUET or equivalent to CEFR (Low B2).

APEL Entry: Turning Experience into Credentials

Accreditation of Prior Experiential Learning (APEL) provides an opportunity for individuals with working experience but lack of formal academic qualifications to pursue their tertiary studies. APEL involves the identification, documentation and assessment of prior experiential learning to determine the extent to which an individual has achieved the desired learning outcomes, for access to a programme of study.

Applicants should comply with the following admission criteria stipulated by the Ministry of Higher Education (MOHE) and Malaysian Qualifications Agency (MQA):

The candidate should be:

The applicant shall be 30 years of age in the year of application with at least STPM/Diploma/equivalent qualifications and must possess relevant work experience.
Pass the APEL.A assessment for Master’s Degree level.

Find out how to apply: APEL

Scholarships & Financial Aid

For details and inquiries on Scholarships & Financial Aid, you can find out more here.

Future Career Paths with a Master of Science in Smart Manufacturing Degree

Potential to work as a manufacturing professional in the field:

Some specific career prospects include:

5

Mechatronic System Engineering

5

Industrial Automation and robotics

5

Mechatronic Hardware Design Engineering

5

Manufacturing Process Improvement and Maintenance

5

System design and consultancy

5

Smart Manufacturing Engineer/Manager

5

Industrial IoT Specialist

5

Industrial Automation Specialist

5

Data Analytics Engineer/Manager

5

Smart Factory Consultant

Why WOU is The Best Online University of Choice

If You are Working While Studying

Your Studies are Flexible
and 100% Online

Accredited & Globally
Recognised

You Gain
Full Support

The Ideal Mix of Theory
and Practice

Our Success Stories

Discover the impact we've had, straight from our campus family.

Brendan Tneh

Bachelor of Technology (Hons) in Electronics

I am proud to have completed my Bachelor of Technology in Electronics at Wawasan Open University. The program was challenging but rewarding, and I feel confident that I have gained the knowledge and skills necessary to succeed in my future career. The faculty was knowledgeable and supportive throughout my studies, and I appreciated the flexibility of the program which allowed me to balance my studies with other commitments.

Levenesvarn A/L Nesen

Bachelor of Technology (Honours) in Mechatronics

The atmosphere at WOU is very friendly and encouraging. A great experience from start to graduate!

Soh Choon Guan

Bachelor of Technology (Honours) in Construction Management

We should prioritize continuous learning above all else. Completing the Bachelor of Technology in Construction Management enhances the knowledge necessary for my field and boosts my confidence in interacting with others. WOU provides a seamless experience to make it easier for you.

Meet Our Faculty Members

Explore our Faculty Research Profiles for detailed research interests and active projects across our academic.

Our faculty members blend academic excellence with rich industry experience, ensuring your education is both rigorous and practically relevant. Committed to your success, they equip you with the insights and skills essential for navigating the dynamic landscape of technology and engineering.

Dr. Nur Hashira Binti Narudin @ Norudin

Lecturer

Assoc. Prof. Ts. Dr. Lee Yong Siang

Associate Professor

Ts. Chew Bee Leng

Lecturer

Ts. Shirley Tan Cheng Peng

Lecturer

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