Course overview
| Qualification | Doctoral Degree (PhD) |
| Study mode | Full-time, Part-time |
| Duration | 3 years |
| Intakes | March, April, May, June, July, August, September, October, November, December |
| Tuition (Local students) | RM 48,100 |
| Tuition (Foreign students) | RM 56,650 |
About
To guide students into completing their Ph.D. in this course, students will be assisted by a number of highly qualified supervisors. Other than that, they will be exposed to the latest research topics particularly in the fields of computing and business administration. Regular research workshops, colloquium, and seminars by true professionals, both local and international will be held for the students' own benefits to help in building their researching.
Admissions
Intakes
Fees
Tuition
- RM 48,100
- Local students
- RM 56,650
- Foreign students
Estimated cost as reported by the Institution.
Application
- RM 150
- Local students
- RM 700
- Foreign students
Student Visa
- RM 2,400
- 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
- Master Degree preferably with experience in the related field accepted by the university's graduate admission committee.
- Equivalent level of studies from a recognised tertiary institution may also be considered for admission.
- Prospective students with research proficiency and able to show publications in referred journals, conference abstracts will have an added advantage.
English Language Requirements
- TOEFL score of 575
- IELTS 6.5
- Equivalent score of any of the above obtained at undergraduate level at a recognised university
Curriculum
FIELDS OF RESEARCH
- 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