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PhD in Technology
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) | ₹ 949,611 |
| Tuition (Foreign students) | ₹ 1,073,762 |
About
The pursuit of a PhD in Technology represents a profound academic endeavor that immerses students in the forefront of technological innovation and research. This doctoral program offers a comprehensive exploration of diverse technological domains, ranging from computer science and information technology to engineering and beyond. Through rigorous coursework, independent research, and scholarly inquiry, students delve into complex challenges and opportunities within the realm of technology. They develop advanced expertise in their chosen area of specialization, honing critical thinking, problem-solving, and research skills essential for advancing the frontiers of knowledge and making impactful contributions to industry, academia, and society at large. With a focus on interdisciplinary collaboration and cutting-edge exploration, graduates of this program emerge as visionary leaders and trailblazers, driving forward the evolution and application of technology in a rapidly changing world.
Admissions
Intakes
Fees
Tuition
- ₹ 949,611
- Local students
- ₹ 1,073,762
- Foreign students
Estimated cost as reported by the Institution.
Application
- ₹ 2,843
- Local students
- ₹ 13,268
- Foreign students
Student Visa
- ₹ 45,490
- 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
- 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