APU University MSc in Artificial Intelligence

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APU MSc in Artificial Intelligence is a widely recognized and exciting section of computer science that studies methods to make computers or machines intelligent so that students can learn and understand languages like English, Arabic, or Urdu, determine the meaning of images, work together, etc. Artificial Intelligence methods are as various as the problems they address, ranging from classical logic to statistical brain simulation techniques.

This field reflects the diversity of AI in that it includes freely a number of AI related topics, namely Making Sense of Complex Data, Learning from Data, Reasoning and Optimization, and Advanced Web Technologies.

The Advantages of Program

After completing this program successfully students will be able to:

• Gain practical experience applying Artificial Intelligence (AI) to solve problems.
• Gain skill in a wide range of issues, including Machine Learning, Robotics, and Natural Language Processing.
  Successfully handle and manage complicated large-scale Artificial Intelligence (AI) projects.
• Participate in the design and launch in quality and effective Artificial Intelligence (AI) systems.
• Understand how a successful system based on Artificial Intelligence (AI) technology is necessary for a business to obtain a competitive edge.
• Understand problems relating to the development of Artificial Intelligence (AI) systems and give solutions.
• Using Artificial Intelligence (AI), generate upon a database of knowledge and be able to overcome human limitations to solve new problems.

Who Would Benefit from Attending?

This program was created for working IT/Computing professionals who want to advance their formal qualifications in Artificial Intelligence. Furthermore, professionals and managers who want to advance their Artificial Intelligence knowledge and abilities to the postgraduate level would find this program interesting. New undergraduate students with backgrounds in Artificial Intelligence, Software Engineering, or Data Science will find this program beneficial as a way to improve their educational achievements.

Program Outline

APU MSc in Artificial Intelligence aims to teach students:

• Advanced skills and techniques in artificial intelligence
• Research opportunities to solve meaningful industrial problems with artificial intelligence techniques
• Advanced research opportunities in artificial intelligence in preparation for doctoral studies.

Courses

APU MSc in Artificial Intelligence includes three prerequisite modules (for non-Computing students), ten classroom courses, and a project.
There are seven necessary Core Courses, and you must select three electives from the list.

Preparatory Courses
(For Non-Computing students: During the First Month of the Program)

• Programming in Python
• Introduction to R Programming
• Fundamentals of Artificial Intelligence

Core Courses

• 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 Courses (Choose 3)

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

Project

Students will be expected to undertake successful Artificial Intelligence research for both academic and industrial purposes. This course will require you to organize and do qualified academic research, as well as create one academic article, professional paper, or research on aspects of Artificial Intelligence.

APU-DMU Dual Degree

Students enrolled in the Masters Degree Program will have the option to participate in the APU-DMU Dual Degree Scheme. Students will receive two Degree Certificates and Transcripts upon graduation under this Scheme: one from Asia Pacific University (APU) in Malaysia and one from De Montfort University (DMU) in the United Kingdom.

Duration	Intakes
Full time (1+ years)	Full Time: 05 Feb 2024 | 04 Jun 2024 17 Sep 2024
Part time (2.5-3 years)	Part Time: 12 Jan 2024 | 22 Mar 2024 07 Jun 2024 | 16 Aug 2024 25 Oct 2024

Admission 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 Requirements for International Students

•  IELTS : 5.0

Career Options

• 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

Courses Fees

Malaysian Students	International Students
RM 34,600	RM 38,500 (USD 9,390)