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.

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