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. The prerequisite courses are Introduction to C Programming and Database Systems.

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)

Week Start	Week End	Academic Week	Activity	Remarks	Public Holidays
11-Apr			Registration	(new students only)
13-Apr	17-Apr		Orientation	(new students only)
20-Apr	24-Apr	Week 1	Learning Week
27-Apr	1-May	Week 2	Learning Week		Labour Day	1-May	Fri
4-May	8-May	Week 3	Learning Week
11-May	15-May	Week 4	Learning Week
18-May	22-May	Week 5	Learning Week
25-May	29-May	Week 6	Learning Week		Hari Raya Aidiladha	27-May	Wed
25-May	29-May	Week 6	Learning Week		Wesak Day	31-May	Sun
1-Jun	5-Jun	Week 7	Learning Week		Agong’s Birthday	1-Jun	Mon
1-Jun	5-Jun	Week 7	Learning Week		(RPH) Wesak Day	1-Jun	Mon
8-Jun	12-Jun	Week 8	Self-Study Week
15-Jun	19-Jun	Week 9	Final Examination		Awal Muharram	17-Jun	Wed
22-Jun	26-Jun		Semester Break
29-Jun	3-Jul		Semester Break

Doctor of Philosophy in Computing

Explore Programme

Key Information

Intakes

Programme Duration

Mode of Study

Programme Level

Faculty

Schools

Mode of Offer: By Research

Duration:Full-time: Minimum 3 years/Maximum 5 yearsPart-time: Minimum 4 years/ Maximum 6 years

Intakes: January, April, July and October

Mode of Study: Full-Time, Part-Time

Programme code: (N/0114/7/0050) (MQA/PA 18490)

Programme delivery: Conventional (Modular)

Mode of Offer: Coursework

Duration: Full-time: 1 Year Minimum/3 Years Maximum Part-time: 2 years minimum/4 years maximum

Intakes: January, April, July, and October

Mode of Study: Full-Time, Part-Time

Programme code: (N/0910/7/0034) (08/32) (MQA/PA18496)

Mode of Offer: By Research

Duration:Full-time: Minimum 2 years/Maximum 4 yearsPart-time: Minimum 3 years/ Maximum 5 years

Intakes: January, April, July and October

Mode of Study: Full-Time, Part-Time

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Duration:
Full-time: Minimum 3 years/Maximum 5 years
Part-time: Minimum 4 years/ Maximum 6 years

Duration: Full-time: 1 Year Minimum/3 Years Maximum
Part-time: 2 years minimum/4 years maximum

Duration:
Full-time: Minimum 2 years/Maximum 4 years
Part-time: Minimum 3 years/ Maximum 5 years