Bachelor of Engineering in Artificial Intelligence (Honours) | Xiamen University Malaysia

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

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Step 1
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Step 2
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Step 3
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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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PTPTN Loan Selection

Maximum
Household income > RM 8,000
75%
Household income < RM 8,000
50%
Household income < RM 4,000

E-Square Waiver

E-Square Waiver
RM 0

Fee Breakdown

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
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