R/523/6/0096(MQA/FA13340)11/24
Bachelor of Technology (Honours) in Mechatronics
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Mechatronics teaches you a combined mechanical, electrical, computer and industrial engineering to develop intelligent-integrated machines, systems, processes and methodologies. This is an ever-expanding field with the majority of electrical devices now having mechanical parts integrated with electronic components.
You will gain knowledge of mechatronic engineering fundamental and principles, and become well-versed in mechanical, electronics and software integration. Using tools and techniques appropriate to mechatronics engineering technology, you will be able to resolve related problems and design their systematic solutions. You will also learn to work with the appropriate consideration for public health and safety as well as concerns for the environment and sustainability.
Expert Instructors
from industries
Up-to-date
with current syllabus
Hands-on skills
Development
Networking
with industry peers
Collaboration
with industry players
“The expert in anything was once a beginner.”
Helen Hayes
Top Core Courses
Fundamentals that will build you up to stay relevant and excellent today, tomorrow and beyond.
Data and AI Essentials
Students will be introduced to AI, Data Science and Machine learning, followed by exploratory data analysis which focuses on data statistics, extracting data, cleaning data and transforming data. Then they will be acquainted with machine learning and AI models.
Machine Learning
Students will be taught how to create and evaluate a model in scikit learn and Azure Machine Learning and manage imbalanced data by improving the models. Subsequently, they will be introduced to the application of classification in text analytics.
Deep Learning
Students will comprehend an intuitive approach to build complex models through deep learning with uncompromised scaling, speed, and accuracy. These help machines solve real-world classification text analytics problems and time series problems with human-like intelligence using CNN, RNN and LSTM.
Statistics for Data Science and AI
Students will be introduced to statistical methods such as linear equations, systems of equations, quadratic equations, polynomials, derivatives and multivariate functions. They will develop visualisations using vectors, matrices eigenvectors and eigen values and apply statistics fundamentals, probability, sampling distributions and hypothesis testing in Data Science and AI scenarios.
R Programming
Students will learn R syntax and how to handle data structures consisting of vectors, matrices, factors, data frames and lists. They will build visualisations using the graphical capabilities of R.
Learning Pathways
Students will be introduced to a thorough combination of foundation mathematics, electrical circuits and manufacturing technology.
Students will learn the basics of electronics and the fundamentals of engineering mechanics.
At the end of year 3, students will be equipped with the core knowledge of mechatronics, particularly in process control, microprocessors, automation and robotics.
Students’ mechatronics knowledge will be extended to include IR 4.0-related technologies, encompassing mechatronic systems design, IoT and CAD.CAM.
Students will be required to undertake an independent full-year project that will enable them to put their mechatronics engineering science knowledge and practice into application.
Diploma and certificate holders, technicians, manufacturing specialists, technical assistants and technical staff with relevant working experience in mechanical and electronics-related areas will find this programme useful. With the degree, you can expect to advance further in your current job or set a new career path elsewhere.
You can work as part of the technical team in:
- Manufacturing
- Production
- Electronics
- Automation
- Mechanical Technology
- Design, Development or Research
BACHELOR OF TECHNOLOGY (HONOURS) IN MECHATRONICS
| No. | Course Code | Course Title | Credit Hours |
| MPU COURSES | |||
| 1. | MPU3113/03 MPU3143/03 | Hubungan Etnik (for Malaysian students); OR Bahasa Melayu Komunikasi 2 (for foreign students only) | 3 |
| 2. | MPU3123/03 MPU3173/03 | Tamadun Islam dan Tamadun Asia (for Malaysian students); OR Malaysian Studies 3 (for foreign students only) | 3 |
| 3. | MPU3213/03 MPU3223/03 | Bahasa Kebangsaan A (for students without SPM credit in BM); OR Decision Making Skills (for students with SPM credit in BM and foreign students) | 3 |
| 4. | MPU3313/03 MPU3343/03 MPU3333/03 | Comparative Religions; OR Human Rights | 3 |
| 5. | MPU3412/02 | Co-Curriculum | 2 |
| Subtotal Credit Hours | 14 | ||
| UNIVERSITY COMPULSORY COURSES (Take All) | |||
| 1. | WUC111/03 | Foundation Mathematics | 3 |
| 2. | WUC114/05 | University Mathematics A | 5 |
| 3. | WUC118/03 | Computers in a Networked Society | 3 |
| Subtotal Credit Hours | 11 | ||
| BASIC MAJOR COURSES (Take All) | |||
| 1. | TEE101/05 | Engineering Mathematics I *a | 5 |
| 2. | TEE202/05 | Engineering Mathematics II *b | 5 |
| 3. | TEE201/05 | Electrical Circuits & Power | 5 |
| 4. | TEE206/05 | Digital Electronics *c | 5 |
| 5. | TEE208/05 | Analog Electronics *d | 5 |
| 6. | TME101/05 | Engineering Mechanics *e | 5 |
| 7. | TME102/05 | Thermo Fluid *f | 5 |
| 8. | TME103/05 | Manufacturing Technology | 5 |
| 9. | TME202/05 | Engineering Design and Materials *g | 5 |
| Subtotal Credit Hours | 45 | ||
| CORE MAJOR COURSES | |||
| 1. | TEE301/05 | Signals and Systems *h | 5 |
| 2. | TEL203/05 | Process Control and Instrumentation *i | 5 |
| 3. | TEL305/05 | Microprocessor & Microcontroller *j | 5 |
| 4. | TEL306/05 | Control Systems*k | 5 |
| 5. | TEL307/05 | Electrical Power and Drives *l | 5 |
| 6. | TME303/05 | Automation & Robotics *m | 5 |
| 7. | TME305/05 | Computer Aided Design & Manufacturing *n | 5 |
| 8. | TME306/05 | Mechatronics System Design with IoT Application*o | 5 |
| 9. | TME309/10 | ME Project *p | 10 |
| Subtotal Credit Hours | 50 | ||
| ELECTIVE COURSES (Choose One Only) | |||
| 1. | BBM103/05 | Principles & Practice of Management | 5 |
| 2. | TEC210/05 | Technopreneurship | 5 |
| Subtotal Credit Hours | 5 | ||
| Total Credit Hours | 125 | ||
| No. | Course Code & Title | Prerequisite |
| a. | TEE101/05 Engineering Mathematics I | WUC114/05 |
| b. | TEE202/05 Engineering Mathematics II | TEE101/05, WUC114/05 |
| c. | TEE206/05 Digital Electronics | WUC114/05 |
| d. | TEE208/05 Analog Electronics | TEE201/05 |
| e | TME101/05 Engineering Mechanics | WUC114/05, TEE101/05 |
| f. | TME102/05 Thermo Fluid | WUC114/05 |
| g. | TME202/05 Engineering Design and Materials | TME101/05 |
| h. | TEE301/05 Signals and Systems | TEE202/05 |
| i. | TEL203/05 Process Control and Instrumentation | TEE202/05 & TEE208/05 |
| j. | TEL305/05 Microprocessor and Microcontroller | TEE206/05 |
| k. | TEL306/05 Control Systems | TEL203/05 |
| l. | TEL307/05 Electrical Power and Drives | TEE201/05 |
| m. | TME303/05 Automation and Robotics | TME101/05, TME103/05 |
| n. | TME305/05 Computer Aided Design & Manufacturing | TME101/05, TME103/05 |
| o. | TME306/05 Mechatronics System Design with IoT | TEL203/05 |
| p. | TME309/10 ME Project | Completed 90 credits |
- Student who do not have a credit in Bahasa Melayu at the SPM level must register for MPU3213/03 Bahasa Kebangsaan A.
- Those who already have a credit in Bahasa Melayu at the SPM level are required to register for MPU3223/03 Decision Making Skills.
GRADUATION REQUIREMENTS
| No. | Courses | Credits |
| 1. | MPU | 14 |
| 2. | University | 11 |
| 3. | Basic major | 45 |
| 4. | Core major | 50 |
| 5. | Electives | 5 |
| Total | 125 | |
| Graduation requirements: 125 credits | ||
Candidates with the following criteria will be eligible to be considered for admission into the undergraduate programme:
1. Regular Entry
Candidates must possess a minimum of:
- Two (2) Principals in STPM / HSC / A-Level; or
- Five (5) grade Bs in UEC Senior Middle III; or
- Other equivalent qualifications recognised by the Malaysian Government
2. Accreditation of Prior Experiential Learning (APEL)
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 at least 21 years of age in the year of application and possess relevant work experience.
All of the University’s courses are classified into three categories, i.e., lower level, middle level or higher level. Lower-level courses are basic, introductory or foundation courses designed for freshmen. Middle-level courses may require some knowledge of previous study or a certain amount of intellectual maturity. Higher level courses are specialised courses usually designed for those majoring in a particular discipline. The level of a course is indicated by the first digit of the course code, i.e., lower level courses are indicated by the code 1XX/XX, middle level courses by 2XX/XX and higher level courses by 3XX/XX or 4XX/XX. The 2 digits after the slash indicate the credit value of the course. i.e., WLA101/03 is a lower level course of 3 credits while BBM203/05 is a middle level course of 5 credits and TEC305/10 is a higher level course of 10 credits.
Please click on the below links to download the courses: