APU University PhD in Computing

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PhD in Computing offers the opportunity to engage in research related to a wide variety of relevant areas. Participants will have the opportunity to gain firsthand experience in applied research within a dynamic and dynamic atmosphere.

APU PhD in Computing offers broad assistance to grow the development of your skills and abilities, enabling students to acquire the skills needed to become an effective and independent researcher. By doing so, students will be teach to make important contributions to the field of applied computing and/or informatics, therefore advancing the existing body of knowledge.

The Application Procedure

Ideally, the student develops the proposal along with potential supervisors.

Beginning Application Process

Complete All Essential Courses

Students in year 1 have to pass the research methodology course at their first opportunity.

Proposal Defense

Within the first 9 months, present a research lecture before a panel to receive criticism on a research proposal and submit a detailed proposal paper.

Tracking success / Mid-candidacy defense

Thesis submissions occurs twice a year, specifically in the months of May and November, with an average of every 6 months. presentation of the progress and progress reporting, evaluated by a panel of experts.

Finishing Application Process

Defense Of Work Completion

During the completion of APU University PhD in Computing candidacy period, it is required to submit a draft of the thesis. The entire presentation of the complete collection of work.

Requesting to Submit the Thesis for Review

before to the final application deadline, comb-bound thesis copies for review.

Viva Voce

Presentation of completed work to the examination board following receipt of all examiners’ reports.

Degree Award

PhD

Research Fields

Doctoral Specialist Subjects For Supervision

Database Development

Database Development involves designing and implementing database systems for efficient data storage, retrieval, and manipulation. Research focuses on optimizing database performance, data modeling, and exploring new data management technologies.

Artificial Intelligence (AI)

Artificial Intelligence research aims to create machines capable of intelligent behavior, including learning, reasoning, and problem-solving. It spans machine learning, natural language processing, and robotics.

Green Computing

Green Computing focuses on environmentally sustainable computing, aiming to reduce energy consumption and minimize e-waste through efficient technology designs and recycling efforts.

Computing and Society

Computing and Society examines the impact of technology on social dynamics, including ethical, privacy, and accessibility issues, promoting technology that benefits societal well-being.

Medical Image Processing

Medical Image Processing improves medical diagnostics through advanced image analysis techniques, enhancing image quality and extracting diagnostic information.

Neural Networks

Neural Networks mimic the human brain to solve complex problems, focusing on learning patterns and making predictions from large datasets.

Data Compression

Data Compression seeks to reduce the size of data files and transmissions, optimizing storage efficiency and data transfer speeds with minimal loss of information.

User Interfaces

User Interfaces research aims to improve human-computer interaction through intuitive and accessible design, enhancing user experience across digital platforms.

Human-Computer Interaction (HCI)

HCI explores the design and use of computer technology, focusing on the interfaces between people and computers and how to make these interactions more effective and natural.

Content-based Retrieval

Content-based Retrieval focuses on retrieving information based on its content rather than metadata, particularly in multimedia databases for efficient and relevant data access.

Malware Analysis and Detection

Malware Analysis and Detection involves identifying and neutralizing malicious software threats, developing techniques for early detection and prevention of malware attacks.

Cyber Security

Cyber Security protects against digital attacks, ensuring data integrity, confidentiality, and availability through advanced security measures and protocols.

Computer Forensics

Computer Forensics deals with recovering and analyzing digital evidence for legal purposes, focusing on the investigation of cybercrimes and data breaches.

Algorithm and Distributed Computing

This area develops algorithms for efficient problem-solving in distributed systems, improving performance and scalability in networked and cloud computing environments.

Digital Image Processing

Digital Image Processing enhances and manipulates digital images to improve their quality or extract information, applicable in various fields including medical imaging and multimedia.

Machine Learning

Machine Learning focuses on algorithms that enable computers to learn from data, improving their performance in tasks such as prediction and classification without explicit programming.

Data Mining

Data Mining discovers patterns and insights in large datasets, utilizing algorithms to extract valuable information for decision-making and predictive modeling.

Robotics

Robotics combines engineering and computer science to create robots that perform tasks, aiming to augment or replicate human actions in various environments.

Healthcare Systems

Healthcare Systems research integrates computing technologies in medical care, aiming to enhance healthcare delivery, patient monitoring, and medical data management.

Technological Innovation and Change

This field studies how technological advancements are developed and adopted, analyzing their impact on industries, economies, and society.

Information Systems Adoption

Information Systems Adoption examines the factors influencing the uptake of technology within organizations and the broader societal impact of digital transformation.

Image Processing

Image Processing applies algorithms to improve or modify images, supporting applications in areas like surveillance, entertainment, and scientific analysis.

Graph Theory/Combinatorics

Graph Theory/Combinatorics explores the properties of graphs and networks, solving problems related to connectivity, optimization, and structure analysis.

Computational Analysis

Computational Analysis uses mathematical models and simulations to solve complex problems across various scientific and engineering domains.

Big Data Analytics

Big Data Analytics processes large volumes of data to uncover patterns, trends, and insights, aiding in strategic decision-making and forecasting.

Cloud Computing

Cloud Computing delivers on-demand computing services over the internet, focusing on scalability, resource management, and cost-efficiency in digital infrastructure.

Internet of Things (IoT)

The Internet of Things connects everyday objects to the internet, enabling them to send and receive data, transforming how we live and work through smart technology.

Natural Language Processing (NLP)

Natural Language Processing allows computers to understand and interact using human language, enhancing communication between humans and machines.

Intakes

Admission Requirements

Minimum Conditions For Entry

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

English Requirements for International Students

•  IELTS : 5.0

Program Fees updated 2025

APU PhD of computing fees is different for Malaysian and International students. Table below shows the fees as total tuition fees.

International Students

RM 46,800 (USD 10,885)