Doctor of Philosophy in Computing

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Key Information

Intakes

January, April, July, October

Programme Duration

3-6 years | Full time 4-8 years | Part time

Mode of Study

Full-Time, Part-Time

Programme Features

Innovative Curriculum: Stay at the forefront of computing with a curriculum that explores the latest advancements in areas such as artificial intelligence, machine learning, advanced algorithms, and data science.
Applied Learning: Sharpen your skills through extensive hands-on experiences, including complex projects, lab work, and real-world applications. Our program emphasizes the development of practical expertise essential for success in the computing industry.
Distinguished Faculty: Learn from leading experts and professionals with deep industry experience and academic credentials, bringing a wealth of knowledge and practical insights to your studies.

The PhD in Computing at Quest International University is designed to equip students with the advanced research skills necessary to make significant contributions to the field of computing. This comprehensive program focuses on key aspects of research, including methods, processes, and techniques. Students will identify research problems, develop and refine methodologies, and create experimental tools to carry out high-level research.

They will also learn to manage experiments, analyze data statistically, and engage in discussions on contemporary issues in computing research.

In addition to conducting independent research, students will gain expertise in writing a PhD-level thesis. The program encourages active participation through presentations, assigned readings, and case-based assignments. Graduates of the PhD in Computing will be prepared to lead innovative research projects and contribute to advancements in academia, industry, and technology.

Programme Learning Outcomes

PLO1– Knowledge & Understanding	Integrate advanced knowledge related to current research issues in computing.
PLO2 – Cognitive Skills	Recommend innovative solutions that is at the forefront of developments in the fields of study.
PLO3 – Practical Skills	Construct computing solutions and tools in terms of their usability, efficiency and effectiveness.
PLO4 – Interpersonal Skills	Demonstrate effective interaction within a group and with a diverse audience through project discussions and participation in discourses related to the field of study.
PLO5 – Communication Skills	Exhibit effective communication within a group and with a diverse audience by publishing and presenting technical materials in the field of study.
PLO6 – Digital Skills	Utilise digital skills to acquire, interpret and extend knowledge in computing.
PLO7 – Numeracy Skills	Apply numerical skills to acquire, interpret and extend knowledge in computing.
PLO8 – Leadership, Autonomy and Responsibility	Demonstrate leadership, teamwork, autonomy and responsibility in delivering services related to the field of study.
PLO9 – Personal Skills	Exhibit capabilities to extend relevant knowledge through life-long learning.

Career Prospects

Senior Lecturer
Research Associate
Cybersecurity Professional
Data Scientist
Corporate Trainer
AI Engineer
Academic Executive
IT/CS Related Jobs

Minimum Entry Requirements

Candidates admitted into PhD in Computing programme MUST have obtained any one of the following qualifications:

A Master’s degree in Computing or related fields as accepted by the HEP Senate; OR
A Master’s degree in NonComputing fields with a minimum of FIVE (5) years of working experience in Computing or related fields must undergo appropriate prerequisite courses as determined by the HEP; OR
A Master’s degree in NonComputing fields with less than FIVE (5) years of working experience in Computing or related fields must undergo a thorough rigorous assessment as determined by the HEP to identify the appropriate prerequisite courses that equivalent to their working experience in the Computing or related fields; OR
Other qualifications equivalent to a Master’s degree in Computing or related fields recognised by the Government of Malaysia as equivalent to the above requirement.

English Language Proficiency Requirements

Local Students: Achieve a minimum of Band 4 in MUET
International Students: IELTS Academic : 6.0. TOEFL iBT Score : 60 – 78, Cambridge English Qualification and Tests : 169 – 175, Pearson Test of English (PTE) : 59 – 62.

If a student does not meet this requirement, the HEP must offer English proficiency courses to ensure that the student’s proficiency is sufficient to meet the needs of the programme.

Programme Structure

PCS1101 Research Methodology
PCS1021 Thesis

Fees and Funding

For enquiries on our programme fees and funding, please fill up the form below or you may contact our Student Recruitment Division representative. We offer many funding opportunities to support students. Check out our Financial Assistance Page to find out more.

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Programme(s)

Public Holidays	Week start	Week end	Academic Week
	18-Nov		**Registration & Orientation – 18 Nov (Mon)
	19-Nov	22-Nov	Week 1 – Class starts for all (19 Nov)
	25-Nov	29-Nov	Week 2
	2-Dec	6-Dec	Week 3
	9-Dec	13-Dec	Week 4
	16-Dec	20-Dec	Week 5
25-Dec Wed Christmas Day	23-Dec	27-Dec	Week
1-Jan Wed New Year	30-Dec	3-Jan	Week 7
	6-Jan	10-Jan	Week 8
	13-Jan	17-Jan	Week 9
	20-Jan	24-Jan	Week 10
29 Jan Wed Chinese New Year	25-Jan	31-Jan	Mid-sem Break
	3-Feb	7-Feb	Week 11
11 Feb Tue Thaipusam	10-Feb	14-Feb	Week 12
	17-Feb	21-Feb	Week 13
	24-Feb	28-Feb	Week 14
	3-Mar	7-Mar	Study Week
	10-Mar	15-Mar	Final Examination
17 Mar Mon Nuzul Al-Quran	17-Mar	22-Mar	Final Examination
	24-Mar	28-Mar	Semester Break
31 Mar Mon Hari Raya Aidilfitri	31-Mar	4-Apr	Semester Break
	7-Apr	11-Apr	Semester Break
	14-Apr	18-Apr	Semester Break

Doctor of Philosophy in Computing

Explore Programme

Key Information

Intakes

Programme Duration

Mode of Study

Programme Level

Faculty

Schools

Programme code: (N/0323/7/0015) (12/29 (MQA/PA17747)

Programme delivery: Conventional (Modular)

Mode of Offer: Coursework

Duration: Full-time: ONE Year Part-time: TWO years

Intakes: January, April, July and October

Mode of Study: Full-Time, Part-Time

Programme code: (N/0610/8/0003) (08/31) (MQA/PA17685)

Duration: 3-6 years | Full time 4-8 years | Part time

Intakes: January, April, July, October

Mode of Study: Full-Time, Part-Time

Programme code: (N/0610/7/0004) (08/31)(MQA/PA17686)

Duration: 2-4 years | Full time 3-6 years | Part time

Intakes: January, April, July, October

Mode of Study: Full-Time, Part-Time

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Duration: Full-time: ONE Year
Part-time: TWO years

Duration: 2-4 years | Full time
3-6 years | Part time