Master of Science in Artificial Intelligence (ODL) at Asia Pacific University of Technology & Innovation (APU)

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Asia Pacific University of Technology & Innovation (APU)

Asia Pacific University of Technology (APU) is a top private university in Malaysia that combines technology, innovation, and creativity to equip graduates with the skills to thrive in the global business and society. APU has received numerous national and international awards, building a reputation as an impressive university that produces highly employable graduates. These graduates are equipped to make immediate contributions to their respective industries.

Course Information

Academic Qualification
Master
Duration
2.5 years
Intake
January , August, October
English Requirement
5.5
Class Type
ODL
Offer Letter
Free

Yearly Tuition Fees

First Year
17,250
MYR
Second Year
17,250
MYR
Total Tuition Fees 34,500 MYR

Other Fees

University International Admission fee 6,500 MYR
Refundable Deposit 1,500 MYR
Total Additional Fees 8,000 MYR
Grand Total (All Fees) 42,500 MYR

Course Overview

The Master of Science in Artificial Intelligence (ODL) at Asia Pacific University of Technology & Innovation (APU) is a fully online program designed to equip students with advanced skills in artificial intelligence, including machine learning, robotics, and natural language processing. Graduates are prepared for roles such as Software Engineer, Data Scientist, AI Researcher, and Machine Learning Engineer.

Program Structure

  • Pre-requisite Modules (for non-computing students): Programming in Python, Database for Data Science, Fundamentals in 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 Paper
  • Elective Modules (choose 3): Applied Robotics, Pattern Recognition, Expert Systems and Knowledge Engineering, Business Intelligence Systems, Multivariate Methods for Data Analysis, Deep Learning

Entry 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.
  • International students: IELTS 5.5 or equivalent.

Career Opportunities

  • 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

Highlights

  • Duration: Part-time (2.5-3 years)
  • Mode: 100% Online
  • Intakes: April, June, August, October
  • Professional Certification: Joint certification by TIBCO Software Inc. upon completion of specific modules

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