
Asia Pacific University of Technology & Innovation (APU)
MSc in Artificial Intelligence (ODL) - OnlineOnline
DURATION
2 up to 3 Years
LANGUAGES
English
PACE
Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Request earliest startdate
TUITION FEES
USD 7,840 *
STUDY FORMAT
Distance Learning
* for international students and malaysian students RM 34,500
Key Summary
Introduction
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.
Programme Outline
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.
Ideal Students
This programme is geared towards practising IT/Computing professionals within the 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 the postgraduate level will find this programme attractive. Fresh undergraduate students with Artificial Intelligence / Software Engineering / Data Science backgrounds will also find this programme worthwhile as a path to further enhance their academic qualifications.
Admissions
Curriculum
The programme comprises 10 coursework modules and a Project. There are 7 compulsory Core Modules (including the Research Methodology module) and you will have to choose 3 electives from those listed.
Pre-requisite Modules
(For Non-Computing Students: Duration: 4 Months (ODL))
- 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
* 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 – how ever such changes may prolong the study duration.
Program Outcome
On successful completion of this programme, you will be able to :
- Gain hands-on experience in implementing Artificial Intelligence (AI) to solve problems
- Grasp knowledge on a wide range of subject matters ranging from Machine Learning and 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).
Program Tuition Fee
Career Opportunities
You will be expected to conduct effective research about Artificial Intelligence for both academic and industry purposes. Either route will require you to plan and conduct effective academic research, and produce one academic paper, consultancy report or academic paper about an aspect of Artificial Intelligence.
- 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