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PhD in Computing

PhD in Computing

Asia Pacific University of Technology & Innovation (APU)

Duration

3 years

Intake

July, August, September, October, November, and December.

Degree

PhD

Program Overview

A PhD in Computing in Malaysia is a rigorous postgraduate research program designed for individuals seeking to make original and significant contributions to computer science and information technology. This highest academic qualification prepares graduates for advanced research roles in academia, industry, and government.

The program is predominantly research-based, culminating in a doctoral thesis that presents novel findings and methodologies. Students typically work closely with a supervisory team to identify a research problem, develop a comprehensive research proposal, conduct in-depth investigations, and disseminate their scholarly work through publications and conferences. While the focus is independent research, some programs may include core modules on research methodology or advanced topics relevant to their specialization.

Common research areas include Artificial Intelligence (AI), Machine Learning, Data Science, Cybersecurity, Software Engineering, Computer Networks, Human-Computer Interaction (HCI), Image Processing, and more. Graduates with a PhD in Computing are highly sought after for roles such as university professors, postdoctoral researchers, research scientists in R&D departments, data scientists, AI specialists, and high-level IT consultants or architects. Malaysia's growing digital economy and focus on technological innovation create a strong demand for these highly specialized professionals.

Key Information

University

Asia Pacific University of Technology & Innovation (APU)

Campus

Kuala Lumpur

Total Credits

Study Mode

Full-time

Loan Availability

No

Program Details

Duration

3 years

Tuition Fee:

Format

Full-time

Attendance:

On Campus Learning

Study Gap:

10 years

Fees & Funding:

Full tuition fee: (USD 10,885) Total for International

Course Structure

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
Cybersecurity
Computer Forensics
Artificial Intelligence
Algorithms 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

Entry Requirement

Academic

All Students A master's degree in a related field accepted by the APU Senate Other qualifications equivalent to a master's degree that the APU Senate accepts

Language

IELTS - 6.0

How To Apply

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