Master of Science in Artificial Intelligence

Asia Pacific University of Technology and Innovation (APU)
Kuala Lumpur, WP Kuala Lumpur, Malaysia
Qualification
Master's Degree
Study mode
Contact the university / college
Duration
1 year
Intakes
March May July August September November
Total tuition fee (local)
USD 7,812
Total tuition fee (foreign)
USD 9,226

About this course

APU's Master of Science in Artificial Intelligence programme is designed to provide you an edge with the latest technologies that are in line with the Industrial Revolution 4.0.

On successful completion of this programme, you will be able to :

  • Gain hands-on experience to implement Artificial Intelligence (AI) to solve problems
  • Grasp knowledge on a wide range of subject matters ranging from Machine Learning, Robotics to Natural Language Processing.
  • Effectively undertake and manage large scale and complex Artificial Intelligence (AI) projects.
  • Engage in the design and implementation of Artificial Intelligence (AI) systems of high quality and reliability.
  • Appreciate problems and suggest solutions associated with the development of Artificial Intelligence (AI) systems.
  • Appreciate how an efficient Artificial Intelligence (AI) technology based infrastructure is a key factor in enabling a business to gain a competitive edge.
  • Draw upon the body of knowledge and be able to overcome human limits to solve new problems using Artificial Intelligence (AI).

Entry Requirements

General Requirement:

  • 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 Requirement:

  • IELTS 5.00

Curriculum

Pre-requisite Modules:

  • Programming in Python
  • Data Structures and Algorithms
  • Fundamentals of Artificial Intelligence

Core Modules:

  • 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

Elective Modules (Choose 3):

  • Applied Robotics
  • Pattern Recognition
  • Expert Systems and Knowledge Engineering
  • Business Intelligence Systems
  • Multivariate Methods for Data Analysis
  • Deep Learning

Project:

You will be expected to conduct effective research in relation to Artificial Intelligence for both academic and industry purposes. Either route will require you to plan and conduct effective academic research, and produce one academic paper, consultancy report or academic paper in relation to an aspect of Artificial Intelligence.

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