Master of Science in Artificial Intelligence
(R/0613/7/0013)(06/29)(MQA/FA11933)
Course OverviewAPU-DMU Dual Degree Programme
Students who are under Masters Degree Programme will have the option to opt-in for the APU-DMU Dual Degree Scheme. Under this Scheme, students will receive 2 Degree Certificates & Transcripts upon graduation: 1 from Asia Pacific University (APU), Malaysia and 1 from De Montfort University (DMU), UK.
To know more about APU-DMU Dual Scheme, please click HERE.
This programme is specifically designed to provide:
- 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
Click HERE for more information on APU Masters Degree Scholarship
MORE THAN JUST AN ARTIFICIAL INTELLIGENCE MASTER PROGRAMME
APU's Master of Science in Artificial Intelligence programme is designed to provide you an edge with the latest technologies that are in line with the Industrial Revolution 4.0.
Joint Professional Certification by TIBCO Software Inc.
Upon completion of the Master of Science in Artificial Intelligence programme, in addition to their Masters Degrees, students will receive a professional certificate from TIBCO Software Inc. TIBCO is amongst the global leaders in Integration, Data Management and Analytics platforms that has a global clientele. In addition to the certification, TIBCO, as APU's industry partner, has provided all students & lecturers with complimentary access to the TIBCO Spotfire software for academic purposes. Students are utilising the software to perform tasks & projects related to data analytics.
- Business Intelligence Systems
- Applied Machine Learning
- Deep Learning
Full time:
1+ years
Part time:
2.5-3 years
RM 40, 800.00
Total: Malaysian - RM 37,200 | International - RM 40,800
Full-time
• 20 Jan 2025
• 12 May 2025
• 25 Aug 2025
• 15 Dec 2025
Part-time
• 25 Oct 2024
• 10 Jan 2025
• 11 Apr 2025
• 13 Jun 2025
• 15 Aug 2025
• 31 Oct 2025
Asia Pacific University, Malaysia
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. |
ENGLISH REQUIREMENTS | |
INTERNATIONAL STUDENTS | • IELTS 5.5 |
Students who are unable to obtain the required level of English Competency during the maximum 12 months’ period, will not be allowed to pursue their studies in the main programme and will have to return to their home country.
Note: The above entry requirements may differ for specific programmes based on the latest programme standards published by Malaysian Qualifications Agency (MQA).
This programme comprises 10 coursework modules and a Project.
There are 7 compulsory Core Modules (including Research Methodology module) and you will have to choose 3 elective modules from those listed.
(For non-computing students: Duration: 1 month (Full-time) / 4 months (Part-time))
- Programming in Python
- Introduction to R Programming
- Fundamentals of Artificial Intelligence
- 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
- Applied Robotics
- Pattern Recognition
- Expert Systems and Knowledge Engineering
- Business Intelligence Systems
- Multivariate Methods for Data Analysis
- Deep Learning
* Elective modules may be pre-selected for students at the beginning of the semester. If students wish to change these pre-selected elective modules, they can choose from the available modules offered in the semester OR among the intensive delivery modules – however such changes may prolong the study duration.
On successful completion of this programme, you will be able to :
- Gain hands-on experience to implement Artificial Intelligence (AI) to solve problems
- Grasp knowledge on a wide range of subject matters ranging from Machine Learning, Robotics to Natural Language Processing
- Effectively undertake and manage large scale and complex Artificial Intelligence (AI) projects
- Engage in the design and implementation of Artificial Intelligence (AI) systems of high quality and reliability
- Appreciate problems and suggest solutions associated with the development of Artificial Intelligence (AI) systems
- Appreciate how an efficient Artificial Intelligence (AI) technology based infrastructure is a key factor in enabling a business to gain a competitive edge
- Draw upon the body of knowledge and be able to overcome human limits to solve new problems using Artificial Intelligence (AI)
This programme is geared towards practicing IT/ Computing professionals within industry who seek further formal qualifications in Artificial Intelligence. In addition, professionals and managers who wish to enhance themselves with Artificial Intelligence knowledge and skills to postgraduate level will find this programme attractive. Fresh undergraduate students from Artificial Intelligence/ Software Engineering/ Data Science background will also find this programme worthwhile as a path to further enhance their academic qualifications.
Source:
- AI 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
- Big Data Engineer
- Automation Expert
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- Master of Project Management
- Master of Science in Computing