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Bachelor of Engineering in Artificial Intelligence (Honours) | Xiamen University Malaysia
8
Bachelor of Engineering in Artificial Intelligence (Honours) | Xiamen University Malaysia
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Specifications
省份/城市: 吉隆坡
授课语言: 英文
课程领域: 电脑
开课: 二月
开课: 四月
开课: 九月
课程: 本科
国家: 马来西亚
年度学费: 2万 - 4万 马币
Penerangan
Bachelor of Engineering in Artificial Intelligence (Honours) Xiamen University Malaysia
Duration
4 Year
Mode
Physical
Campus
Sepang
Medium
English
Intake
Feb, April, September
Is this course suitable for you?
Step 1
Check Entry Requirements
Review the academic qualifications needed for this course.
Step 2
Select scholarship and PTPTN
Step 3
Net Fees After Scholarship
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Step 4
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Student Type
Domestic Student
Malaysian Citizen
International Student
Non-Malaysian Citizen
Am I eligible?
Foundation
CGPA 2.00
UEC
5B (including Advanced Mathematics)
Diploma in Computing
CGPA 2.50
Diploma in Science & Technology
CGPA 2.75
STPM (Science Stream)
GP 2.0 (including Maths & 1 Science/ICT subject)
A-level
Pass (2 D in any subject)
Other Qualification
Contact us
Additional Requirement
Additional Mathematics SPM C; OR
Mathematics and any 1 Science/Technology/Engineering subject — SPM C AND pass a Mathematics placement test organised by XMUM before joining the programme.
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Scholarship Application
Submit your complete documents for scholarship review.
Submit Documents
PTPTN Loan Selection
Maximum
Household income > RM 8,000
75%
Household income < RM 8,000
50%
Household income < RM 4,000
E-Square Waiver
Processing Fee Waiver
E-Square Waiver
RM 0
Processing Fee Waiver
USD 0
Fee Breakdown
1
USD
=
4.2300
MYR
(
--
)
Tuition Fee
RM 116,000
Resource Fee
RM 0
Deposit
RM 0
Application Fee
RM 300
Hostel Application Fee
(if needed)
RM 100
Scholarship
- RM 0
PTPTN Loan
- RM 0
Voucher
- RM 0
Total Payable
RM 116,400
Benefits via E-Square Application:
Scholarship up to
RM 0
Voucher:
RM 0
Course Structure
Year 1
Calculus
Linear Algebra
Programming Language C
Python and Tensorflow Programming
Probability and Statistics
Principles of Artificial Intelligence
Introduction to Intelligence Application
Year 2
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
Year 3
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
Year 4
Software Architecture and Development Environment
Principles of Database Systems
Thesis II
Industrial Training
Major Elective 7 (Choose 1):
Strategic Reasoning for AI
Planning Techniques for Robotics
Advanced Data Analysis
Career Pathway
Artificial Intelligence Engineer / Scientist / Analyst / Specialist
Machine Learning Engineer / Scientist / Analyst / Specialist
Data Engineer / Scientist / Analyst / Specialist
Big Data Engineer / Scientist / Analyst / Specialist
Applications Architect / Developer
Analytics Developer / Manager
Business Intelligence Developer / Analyst
Software Engineer / Architect / Developer
Intelligence System Engineer / Architect / Analyst
AI Research Scientist
Computer Scientist
What to do next?
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