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Level 17, The Bousteador No.10, Jalan PJU 7/6, Mutiara Damansara 47800 Petaling Jaya, Selangor, Malaysia
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EasyUni Sdn Bhd

Level 17, The Bousteador No.10, Jalan PJU 7/6, Mutiara Damansara 47800 Petaling Jaya, Selangor, Malaysia
4.4

(43) Google reviews

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MSc in Artificial Intelligence (ODL) - 100%online

Course overview

Statistics
Qualification Master's Degree
Qualification Subtype Master of Science (MSc)
Coursework / Research Coursework
Study mode Part-time, Online
Duration 3 years
Intakes April, June, August, October
Tuition (Local students) $ 7,678
Tuition (Foreign students) $ 7,678

Subjects

  • Computer Science, IT

About

APU's Master of Science in Artificial Intelligence program is designed to provide you an advantage with cutting-edge technology aligned with the Industrial Revolution 4.0. The program offers students practical experience in applying Artificial Intelligence (AI) to address real-world problems. It provides a comprehensive understanding of key areas such as Machine Learning, Robotics, and Natural Language Processing. Students will gain the skills necessary to manage and execute large-scale, complex AI projects, while ensuring the design and implementation of reliable, high-quality AI systems. The program also focuses on recognizing challenges in AI system development and proposing effective solutions. It highlights the importance of AI-driven infrastructure in giving businesses a competitive advantage and empowers students to utilize AI to overcome human limitations and solve emerging problems.

This program, available online and part time (2.5-3 years) is tailored to offer:

  • Advanced skills and techniques in artificial intelligence
  • Research opportunities to address significant industrial challenges using AI
  • In-depth research opportunities in AI, preparing students for doctoral studies.

 

Admissions

Intakes

Fees

Tuition

$ 7,678
Local students
$ 7,678
Foreign students

Estimated cost as reported by the Institution.

Application

$ 178
Local students
Data not available
Foreign students

Student Visa

$ 589
Foreign students

Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.

Entry Requirements

GENERAL REQUIREMENTS

• Bachelor’s degree in Computing or related fields with a minimum CGPA of 2.50, or its equivalent qualification as accepted by the Senate.

• Bachelor’s degree in Computing or related fields with a minimum CGPA of 2.00 and not meeting a CGPA of 2.50 can be accepted, subject to a rigorous internal assessment.

• Bachelor’s degree in non-related fields with a minimum CGPA of 2.00 as accepted by the Senate and with relevant working experience, subject to a rigorous internal assessment.

​• Bachelor’s degree in non-related fields with a minimum CGPA of 2.00 as accepted by the Senate and without relevant working experience, subject to passing pre-requisite courses.

* Applicants without a Computing-related Bachelor’s degree must pass the pre-requisite modules to continue with the Master’s Degree.

Note: The above entry requirements may differ for specific programmes based on the latest programme standards published by Malaysian Qualifications Agency (MQA).
 

ENGLISH REQUIREMENTS

INTERNATIONAL STUDENTS

• IELTS : 6.0

For more information please click HERE

Curriculum

This programme comprises 10 coursework modules, including 7 core modules and 3 elective modules, and a Project.

Pre-Requisite Modules (FOR NON-COMPUTING STUDENTS)

Duration: 4 Months 

  1. Programming in Python
  2. Introduction to R Programming
  3. Fundamentals of Artificial Intelligence

Core Modules

  1. Artificial Intelligence
  2. Image Processing and Computer Vision
  3. Fuzzy Logic
  4. Applied Machine Learning
  5. Computational Intelligence Optimization
  6. Natural Language Processing
  7. Research Methodology in Computing and Engineering
  8. Project

Elective Modules (Choose 3)

  1. Applied Robotics
  2. Pattern Recognition
  3. Expert Systems and Knowledge Engineering
  4. Business Intelligence Systems
  5. Multivariate Methods for Data Analysis
  6. Deep Learning