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PhD in Technology (ODL)
Course overview
| Qualification | Doctoral Degree (PhD) |
| Study mode | Full-time, Part-time, Online |
| Duration | 3 years |
| Intakes | February, March, April, May, June, July, August, September, October, November, December |
| Tuition (Local students) | $ 8,568 |
| Tuition (Foreign students) | $ 8,568 |
Subjects
-
Information Tech (IT)
-
Philosophy
About
The PhD in Technology offers an in-depth academic experience at the forefront of technological innovation and research. Students explore various technological fields, including computer science, information technology, and engineering, through rigorous coursework and independent research. They develop advanced expertise in their chosen specialization, enhancing their critical thinking, problem-solving, and research skills. The program emphasizes interdisciplinary collaboration, preparing graduates to become leaders who drive technological advancements and make significant contributions to industry, academia, and society. This program being ODL means it is fully online and available in both full time (3 years) and part time (4 years) formats giving students and working professionals the flexibility and convenience in learning.
Admissions
Intakes
Fees
Tuition
- $ 8,568
- Local students
- $ 8,568
- Foreign students
Estimated cost as reported by the Institution.
Application
- $ 178
- Local students
- Data not available
- Foreign students
Student Visa
- $ 589
- Foreign students
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.
Entry Requirements
| MINIMUM ENTRY REQUIREMENT | |
|
• A Masters degree in a related field accepted by the APU Senate • Other qualifications equivalent to a Masters degree that are accepted by the APU Senate |
|
Note: The above entry requirements may differ for specific programmes based on the latest programme standards published by Malaysian Qualifications Agency (MQA).
| MINIMUM ENGLISH REQUIREMENTS | |
|
INTERNATIONAL STUDENTS |
• IELTS : 6.0 |
Curriculum
FIELDS OF RESEARCH
Specialist Doctoral Topics For Supervision
- Database Development
- Artificial Intelligence
- Green Computing
- Computing & Society
- Medical Image Processing
- Neural Networks
- Data Compression
- User Interfaces
- Human Computer Interaction
- Content-based Retrieval
- Malware Analysis and Detection
- Cyber Security
- Computer Forensics
- Artificial Intelligence
- Algorithm and Distributed Computing
- Digital Image Processing
- Machine Learning
- Data Mining
- Neural Networks
- Robotics
- Healthcare Systems
- Technological Innovation and Change
- Information Systems Adoption
- Image Processing
- Graph Theory/ Combinatorics
- Computational Analysis
- Big Data Analytics
- Cloud Computing
- Internet of Things (IoT)
- Natural Language Processing