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

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

Category: Degree

Specifications
Province/City
Kuala Lumpur
Language for Teaching
English
Field of Study
Computer
Course Start Date
Feb
Course Start Date
Apr
Course Start Date
Sept
Course
Degree
Country
Malaysia
Annual Course Fees
Between RM 20k - 40k
Details

Bachelor of Engineering in Artificial Intelligence (Honours) | Xiamen University Malaysia
Duration
4 Year
Mode
Physical
Campus
Millerz Square
Medium
English
Intake
Feb, April, September

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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
What to do next?
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