Total Fees

RM124,600

  • Level

    Undergraduate

  • Duration

    4 year(s)

  • Study Mode

    Full Time

  • Major

    Engineering

  • Campus

    Sepang, Selangor

  • Certification

    Xiamen University Malaysia

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Description

Artificial intelligence is an interdisciplinary field, covering disciplines like programming of intelligence, functionality of brain and industrial intelligence application. Currently, all the giant Internet companies are competing for the advantages of artificial intelligence applications. There exists a huge demand for intelligence system programmers and designers. The involved domains include almost every aspect of modern life.

It is well-known that China is one of the leading countries in artificial intelligence, no matter in the field of research or industrial application. Xiamen University (XMU) has a very strong faculty in intelligence science with more than 23 academic staff. It is ranked among the top ten in China and offers a variety of courses in the theories and industrial applications of artificial intelligence. The faculty has produced a number of world-class researchers such as Ji Rongrong (纪荣嵘), who conducts many breakthroughs in computer vision.

Intake Month(s)

February, April, September

Application Fee RM 300.00
Refundable Deposit RM 300.00
Tuition Fee RM 124,000.00
Grand Total RM 124,600.00

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

  • Computer Networks and Communication
  • Big Data Analytics
  • Statistical Learning
  • Thesis I

  • Software Architecture and Development Environment
  • Principles of Database Systems
  • Thesis II
  • Industrial Training

  • Choose one
  • (Natural Language Processing/ Computer Vision and Robotics)
  • Choose one
  • (Object-Oriented Programming-C++/ Object-Oriented Programming-Java)
  • Choose two
  • (Computer Architecture/Compiler Principles/Numerical Methods/Computer Graphics)
  • Choose one
  • (Advanced Issues of Artificial Intelligence (Natural Language Processing)/ Advanced Issues of Artificial Intelligence (Computer Vision))
  • Choose two
  • (Robot Kinematics and Dynamics/Deep Reinforcement Learning and Control/Computational Cognitive Science/Advanced Machine Learning)
  • Choose one
  • (Information Security Technology and Application of/ Internet of Things)
  • Choose one
  • (Strategic Reasoning for Al/Planning Techniques for Robotics/Advanced Data Analysis)

Entry Requirement

  • STPM (Science Stream): Minimum Grade C (GP 2.00) in Mathematics and one (1) Science/ICT subject at STPM level.

  • Minimum of Grade D in any two (2) subjects at A-Level.

  • Minimum 5 credits (5Bs) including Advanced Mathematics

  • Minimum CGPA of 2.0 out of 4.0 at Foundation/Matriculation level.

  • Successful completion of Foundation/Matriculation with a minimum CGPA of 2.00 out of 4.0.

  • Successful completion of a Diploma in Computing fields (Computer Science, Software Engineering, Information Technology, Information Systems, or Data Science) with a minimum CGPA of 2.5 out of 4.0
  • or successful completion of any Diploma in Science and Technology or its equivalent with a minimum CGPA of 2.75 out of 4.0.