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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

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.

The Benefits of the Programme

Upon successful completion of this programme, participants will be able to:

  • Gain hands-on experience in implementing Artificial Intelligence (AI) to solve problems.
  • Develop knowledge in key AI areas, including Machine Learning, Robotics, and Natural Language Processing.
  • Manage and execute large-scale, complex AI projects.
  • Design and implement high-quality and reliable AI systems.
  • Identify challenges in AI development and suggest innovative solutions.
  • Understand how an AI-driven infrastructure can provide a competitive edge in business.
  • Apply AI knowledge to push beyond human limits and tackle new problems.

Who Should Attend?

This programme is suitable for:

  • IT and Computing professionals looking to gain formal AI qualifications.
  • Managers and professionals who want to enhance their AI expertise at a postgraduate level.
  • Fresh graduates from Artificial Intelligence, Software Engineering, or Data Science backgrounds who wish to further their academic qualifications.

Key facts

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) $ 7,781
Tuition (Foreign students) $ 7,781

Subjects

  • Computer Science, IT

Duration

3 years

Tuition fees

Description Local students Foreign students
Tuition fee $ 7,781 $ 7,781
Miscellaneous fees Data not available Data not available
Total estimated cost of attendance $ 7,781 $ 7,781
Estimated cost per year $ 2,593 $ 2,593

Miscellanous fees explained

Local students

Description Amount
Library Deposit (refundable)

Payable for the use of library facilities and is refundable on completion of studies.

$ 112
Engineering Laboratory Deposit (refundable)

Payable for the use of the Engineering laboratory facilities and is refundable on completion of studies.

$ 112
Enrollment Fees $ 180

Foreign students

Description Amount
Application & Student Visa Fees

STAGE 1 (Payable upon acceptance of offer) RM 2,650 (approx. USD 620)* is payable when you have accepted the offer. This fee includes Visa Processing Fees by Education Malaysia Global Services (EMGS) and APU/APIIT Application & Processing Fees. This also entitles you to airport assistance and transfer to the University/accommodation upon first arrival in Malaysia. Please note that this Fee is non-refundable once the offer has been accepted. STAGE 2 (Payable upon Student Pass Visa Approval) RM 1,500 (approx. USD 350)* is payable once your Student Pass is approved. This fee includes the post-arrival processing fee, EMGS medical check-up in Malaysia, Medical Insurance for a year, i-Kad (International Student Card issued by Immigration Malaysia) charged to ALL International students in Malaysia, Electronic Visa Approval Letter (eVal), and the Student Pass Fees for one-year. The i-Kad issued by Immigration Malaysia will enable students to avoid having to carry their passports around for identification purposes and will be tied to their Student Pass Validity and will be re-issued at visa renewal. Please note that this Fee is non-refundable once the Student Pass Visa Approval Letter (VAL) has been issued by EMGS.

$ 936
International Student Registration & Administrative Fees

A fee of RM 5,000 is payable as registration & administrative fee for International Students. The Fees includes Student ID Card Fee for the duration of the course.

$ 1,127
Library Deposit (refundable)

Payable for the use of library facilities and is refundable on completion of studies.

$ 112
Engineering Laboratory Deposit (refundable)

Payable for the use of the Engineering laboratory facilities and is refundable on completion of studies.

$ 112
Personal Bond (refundable) $ 225

Estimated cost as reported by the institution. There may be additional administrative fees. Please contact for the latest information.

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.

Admissions

Intakes

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

  • IELTS : 6.0

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 

  • Programming in Python
  • Introduction to R Programming
  • 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 thorough academic research.
  • Produce one of the following:
    • An academic paper
    • A consultancy report
    • An industry-focused research paper on an aspect of Artificial Intelligence.

 

 

 

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