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Doctor of Philosophy (Open & Distance Learning – ODL)

(N-DL/0610/8/0007) (07/32) (MQA/PA18346)

Course Information

Mode: Online
Duration: Fulltime: minimum of 3 years and maximum of 5 years. Part-time: minimum of 4 years and maximum of 8 years.
Intakes: Rolling admission (as this is a research degree programme)
Campus: Damansara Heights
Type: Flexible Full-time/Part-time Mode
Field of Study: Computing & IT
Faculty: ELM Graduate School
Fees: RM38,000.00
Format: ODL

Course Overview

Step into the forefront of technological innovation with University HELP’s PhD in Computing program. Designed to cultivate world-class researchers and thought leaders, this program empowers scholars to push computing knowledge boundaries, drive breakthrough discoveries, and pioneer solutions to society’s complex challenges.

The programme aims to:

  • Address the critical global need for highly qualified computing researchers advancing knowledge in AI, cybersecurity, data science, health informatics, and emerging interdisciplinary domains.
  • Empower doctoral scholars to conduct rigorous, original research generating new knowledge, methodologies, and technologies with significant theoretical and practical implications.
  • Develop pioneering research leaders capable of identifying unexplored opportunities, establishing new paradigms, and mentoring the next generation of computing professionals.

Objective:

Upon successful completion, our graduates will be:

Distinguished Research Leaders: Master independent, original research contributing significant new knowledge to computing, with expertise in advanced methodologies, critical analysis, and scholarly inquiry.

Innovative Problem-Solving Experts: Possess intellectual depth and technical excellence to tackle complex, multidisciplinary challenges through novel computational approaches and interdisciplinary collaboration.

Influential Academic and Industry Contributors: Exhibit exceptional communication, leadership, and mentorship capabilities to disseminate research findings, secure funding, lead teams, and drive innovation.

Curriculum

Core Courses

These are the modules that you will take as part of the programme.

  • Programming for Data Science
  • Data Management
  • Statistics for Data Management
  • Research Methods
  • Applied Machine Learning
  • Dissertation

Assessments

Assessments are in terms of assignments, report/thesis and presentations/viva voce. There will be regular progress monitoring to ensure that learners progress well in their research.

Entry Requirements

Course Admission Criteria

  1. A Master’s degree (Level 7 Malaysian Qualifications Framework, MQF) in Computing or related fields as accepted by the HEP Senate; OR
  2. A Master’s degree (Level 7, MQF) in Non-Computing fields with a minimum of FIVE (5) years of working experience in Computing or related fields must undergo appropriate pre-requisite courses as determined by the HEP; OR
  3. A Master’s degree (Level 7, MQF) in Non-Computing 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
  4. Other qualifications equivalent to a Master’s degree (Level 7, MQF) in Computing or related fields recognised by the Government of Malaysia as equivalent to the above requirement.

English Competency Requirement (International Student)

Achieve a minimum of Band 4 in Malaysian University English Test (MUET) or equivalent to Common European Framework of Reference for Languages (CEFR) (Mid B2).

  • All fees are in RM (Ringgit Malaysia) currency unless stated otherwise.

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