Bachelor of Mechatronics Engineering with Honours at Taylor's University

Description

The Taylor's University Bachelor of Mechatronics Engineering with Honours is a four-year, professionally accredited programme focused on the interdisciplinary design of intelligent systems. It seamlessly integrates Mechanical, Electrical & Electronic, and Computer Software Engineering principles. The curriculum emphasizes key areas like robotics, automation, embedded systems, and advanced control theory. Students gain practical expertise through hands-on laboratory work, major final-year projects, and compulsory industrial training. Graduates are highly specialized, equipped to innovate in fields such as manufacturing, biomedical systems, and artificial intelligence, ensuring they become certified, cutting-edge professional engineers.

Intake Month(s)

February, April, September

Application Fee RM 650.00

Tuition Fee RM 162,948.00

Internship Fee RM 5,064.00

Grand Total RM 168,662.00

Course Structure

Engineering Mathematics and Modelling I
Engineering Design and Analysis
Circuits and Signals
Engineering Mathematics and Modelling II
Programming Techniques
Thermofluid Engineering 1
Digital and Analog Electronics

Engineering Design and Project Management
Materials and Manufacturing
Finite Element Method and Simulation
Electrical Power and Machines

Microprocessors and Computer Architecture
Engineering Solid Mechanics
Automatic Control and Instrumentation
Mechanical Vibration
Power Electronics and Industrial Drives
Engineering Dynamics
Industrial Training

Mechatronics Engineering Group Project I
Final Year Engineering Project I
Professional Engineering and Society
Mechatronics Engineering Group Project II
Final Year Engineering Project II

Penghayatan Etika dan Peradaban / Bahasa Melayu Komunikasi 2
Falsafah dan Isu Semasa
Emotional Intelligence in Action
Kursus Integriti dan Antirasuah
Social Innovation Project

Specialisation 1-Robotics: Introduction to Robotics
Robotics Dynamics and Control
Robotics Sensor and Actuator
Specialisation 2-Artificial Intelligence (AI): Digital Imaging Processing
Machine Learning for Engineers
Deep Learning for Engineers

Entry Requirement

Minimum grade C (CGPA 2.0) in Mathematics and Physics / Chemistry

Minimum of DDD including Mathematics and Physics / Chemistry

Minimum 5 credits (5Bs) with maximum 25 points including Mathematics and Physics / Chemistry

Successful completion of a relevant Foundation / Pre-U programme with min CGPA 2.01

Successful completion of a relevant Diploma programme with min CGPA 2.01

Minimum average of 60% in 6 subjects including Advanced Functions, Calculus & Vectors and Physics / Chemistry

ATAR 65 including Mathematics (preferably Specialist Mathematics) and Physics / Chemistry

Minimum 24 points and above in 6 subjects including Mathematics and Physics / Chemistry

Overall 50% including Physics A&B / Chemistry A&B and Mathematics A&B

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