EasyUni logo

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

+60142521561

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

Speak to Study Advisor

Master of Science in Artificial Intelligence

Course overview

Statistics
Qualification Master's Degree
Qualification Subtype Master of Science (MSc)
Coursework / Research None
Study mode Full-time, Part-time
Duration 1 year
Intakes January, April, May, June, August, October, December
Tuition (Local students) B$ 11,301
Tuition (Foreign students) B$ 12,395

Subjects

  • Computer Science, IT

About

APU's Master of Science in Artificial Intelligence program is designed to provide you with an edge with the latest technologies in line with the Industrial Revolution 4.0. The Master of Science in AI program offers hands-on experience in applying Artificial Intelligence (AI) to solve real-world problems. Students will gain knowledge across various AI fields, including Machine Learning, Robotics, and Natural Language Processing. The program prepares students to manage large-scale, complex AI projects and design and implement high-quality, reliable AI systems.

This program, available both Full time (1+ years) and Part time (2.5 years - 3 years) provides:

  • Advanced AI skills and techniques.
  • Research opportunities to tackle major industrial challenges using AI.
  • Advanced research in AI to prepare for doctoral studies.

This program is designed for IT and computing professionals seeking formal qualifications in Artificial Intelligence, as well as managers aiming to enhance their AI knowledge and skills. It is also ideal for fresh graduates in AI, Software Engineering, or Data Science looking to further their academic qualifications.

Admissions

Intakes

Fees

Tuition

B$ 11,301
Local students
B$ 12,395
Foreign students

Estimated cost as reported by the Institution.

Application

B$ 45
Local students
B$ 212
Foreign students

Student Visa

B$ 729
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 : 5.5

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)

Durstion: 1 Month (Full time) / 4 Months (Part time)

  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