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Asia Pacific University of Technology & Innovation

Asia Pacific University of Technology & Innovation

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Master of science in artificial intelligence

  Study Mode FULL TIME
  Level POST-GRADUATE
  Duration 1+ years
  Intake
Intake Deadline
APRIL N/A
Overview

Overview of Master of science in artificial intelligence in Asia Pacific University of Technology & Innovation Malaysia

This programme is specifically designed to provide:

  • Advanced skills and techniques in artificial intelligence.
  • Research opportunities to solve meaningful industrial problems with artificial intelligence techniques.
  • Advanced research opportunities in artificial intelligence in preparation for doctoral studies.

PROGRAMME STRUCTURE

Pre-Requisite Modules (For non-Computing students: to be completed upon 1st month of the programme)
  • Programming in Python
  • Data Structures and Algorithms
  • Fundamentals of Artificial Intelligence
Core Modules

Elective Modules (Choose 3)*

  • Artificial Intelligence
  • Image Processing and Computer Vision
  • Fuzzy Logic
  • Applied Machine Learning
  • Computational Intelligence Optimization
  • Natural Language Processing
  • Research Methodology in Computing and Engineering
  • Project
  • Applied Robotics
  • Pattern Recognition
  • Expert Systems and Knowledge Engineering
  • Business Intelligence Systems
  • Multivariate Methods for Data Analysis
  • Deep Learning

ENTRY REQUIREMENTS

• Bachelor’s degree with minimum CGPA of 2.75 out of 4.00, or its equivalent qualification as acceptable by the Senate.

• Bachelor’s degree with CGPA 2.50 out of 4.00, but below CGPA 2.75; can be accepted with rigorous assessment (include test, interview or portfolio).

• Bachelor’s degree with CGPA below 2.50 out of 4.00, or qualification which is equivalent can be accepted with minimum 5 years relevant working experience in related field.

• English Requirements: IELTS 5.0

CAREER PROSPECTS

  • Software Engineer
  • Data Scientist
  • AI Researcher
  • Intelligence Specialist
  • Consultant 
  • AI Data Analyst
  • Machine Learning Engineer
  • Robotics R&D Engineer
  • Machine Vision Engineer
  • Artificial Intelligence Analyst
  • Deep Learning Scientist

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