Bachelor of Engineering in Artificial Intelligence (Honours)
Xiamen University Malaysia
Sepang, Selangor, Malaysia
Quick Facts
Duration
4 years
Mode
Full-time, On-campus
Intake
Feb, Apr, Sep
Tuition Fees
RM124,000
Course Highlights
- With a balance between theories and practices, this programme equips you with the knowledge and skills to manage the development and research of computer and intelligence systems through teaching and research activities in an exciting environment
- Utilise excellent educational resources from one of the most highly respected and longest-established institutions in China for Artificial Intelligence study
- Cover disciplines like programming of intelligence, functionality of brain and industrial intelligence application
- *This programme is not among the fields of engineering in the register of the Board of Engineers Malaysia
Course Structure
- Calculus
- Linear Algebra
- Programming Language C
- Python and Tensorflow Programming
- Probability and Statistics
- Principles of Artificial Intelligence
- Introduction to Intelligence Application
- Discrete Mathematics
- Data Structures
- Applied Machine Learning
- Principles of Computer Composition
- Matrix Analysis and Application
- Principles of Operating Systems
- Methods and Applications of Deep Learning
- Design and Analysis of Algorithms
Major Elective 1 (Choose 1)
- Natural Language Processing
- Computer Vision and Robotics
Major Elective 2 (Choose 1)
- Object-Oriented Programming: C++
- Object-Oriented Programming: Java
- Computer Networks and Communication
- Big Data Analytics
- Statistical Learning
- Thesis I
Major Elective 3 (Choose 2)
- Computer Architecture
- Compiler Principles
- Numerical Methods
- Computer Graphics
Major Elective 4 (Choose 1)
- Advanced Issues of Artificial
- Intelligence (Natural Language Processing)
- Advanced Issues of Artificial
- Intelligence (Computer Vision)
Major Elective 5 (Choose 2)
- Robot Kinematics and Dynamics
- Deep Reinforcement Learning and Control
- Computational Cognitive Science
- Advanced Machine Learning
Major Elective 6 (Choose 1)
- Information Security
- Technology and Application of Internet of Things
- Software Architecture and
- Development Environment
- Principles of Database Systems
- Thesis II
- Industrial Training
Major Elective 7 (Choose 1)
- Strategic Reasoning for Al
- Planning Techniques for Robotics
- Advanced-Data Analysis
Entry Requirements
- STPM (Science Stream): Pass with at least a Grade C (GP2.0) in Mathematics AND 1 Science/ICT subject
- A-Level: Pass with at least a Grade D in any 2 subjects
- UEC: Pass with at least a Grade B in 5 subjects including Advanced Mathematics
- Foundation/Matriculation: Pass with at least a CGPA of 2.0 out of 4.0
- Diploma:
- Pass in Diploma in Computing fields (Computer Science/Software Engineering/Information Technology/Information System/Data Science) with at least a CGPA of 2.5* out of 4.0 OR
- Pass in any Diploma in Science and Technology or the equivalent with at least a CGPA of 2.75** out of 4.0
- AND:
- (i) Additional Mathematics***—a credit in SPM or the equivalent; OR
- (ii) Mathematics and any 1 Science/Technology/Engineering subject —a credit in SPM or the equivalent AND pass a Mathematics placement test organised by XMUM before joining the programme
Notes:
- *Candidates with a CGPA of less than 2.5 but more than 2.0 may be accepted subject to a stringent internal evaluation process
- *Candidates with a CGPA of less than 2.75 but more than 2.5 may be accepted subject to a stringent internal evaluation process.
- ** The requirement for the Additional Mathematics at SPM level can be exempted if the Foundation/Matriculation or its equivalent offers a Mathematics course that is of a similar or higher level compared to the Additional Mathematics at SPM level.
Estimated Fees
Application fees (non-refundable)
RM300
Tuition fees
RM124,000
Discounts & scholarships
-RM300
Total payable amount
RM124,000
You save RM300 when you apply with EduAdvisor!
Other savings
Up to RM31,000