PROGRAMME OVERVIEW

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The proposed PhD in Information Technology is to prepare individuals for the generation of new knowledge in the advanced and applied aspects of Information Technology research by considering IR4.0 Technology. The program has the objective of training students through intensive research. Graduates will demonstrate a capacity to design, conduct and report sustained and original research with emphasis on current industry demands. While the research is conducted under the supervision of the eligible academic advisor, students are expected to demonstrate the ability to work independently.

• The PhD in Information Technology has been conceived to focus on issues and matters on the existing and future in the various industrial sectors and services.
• We focus is to develop graduates who are capable of adapting to the global changes and current development which inculcate important values including:
• Leadership
• Social responsibility
• Scholarship
• Community involvement
• Ethical values and
• Professionalism

The programme aims to provide graduates with the ability to carry out advanced research in their fields and solve complex problems. At the same time, it aims to facilitate discovery and contribute to Modern knowledge and Sustainable solution.




Programme Structure
DURATION • Full time: Min 3 years Max 6 Years
• Part time: Min 4 Years Max 8 Years
PROGRAMME STRUCTURE • Fully research
• The students need to pass on course only (Research methodology)
• The students need to the present their yearly research progress
INTAKE • Any time during the year
CAREER PROSPECTS & OPPORTUNITIES Jobs directly related to your degree include:
• Researcher
• Industry R & D
• Lecturer
INTERNSHIP NIL
TESTIMONIALS NIL

Entry Requirement

  • Masters - A Masters Degree in the field or related field as accepted by the SENATE.

  • Working Experience - A Master Degree in Non Computing field with minimum of 5 years working experience in the field of computiong or related field must undergo appropriate prequisite course as determined by HEP or
    A Masters Degree in Non Computing field with less than of 5 years working experience in the field of computng or related field must undergo appropriate prequisite course as determined by HEP and subject to rigorous internal assessment by

  • Others : Other qualification equivalent to Masters Degree in the field of computing or related field recognised by the Government of Malaysia must undergo appropriate prequisite course as determined by HEP.

  • English Requirement - IELTS : 6.0
    TOEFL PBT : 550
    Muet : Band 4

PLO

Although admission to the programme requires no prior knowledge in Quantity Surveying, applicants must normally have at least one of the following: 1. STPM or equivalent with at least grade ‘C’ (NGMP 2.0) in 3 subjects including Mathematics ; and Minimum three (3) credits including credit in Mathematics subjects at spm level; or
2. Pass A-Levels programme with minimum Grade ‘D’ in three (3) subjects including Mathematics; or
3. Matriculation/ foundation/ foundation with a minimum grade of 2.50 and honors in mathematics at the SPM level; or
4. UEC by obtaining at least grade ‘B’ in 5 subjects including mathematics, Bahasa Malaysia and English ; or
5. Diploma in related field with a minimum CGPA 2.67 or equivalent and honors in mathematics at SPM level.
6. SAM : pass with minimum 70% and Geade ‘B’ in 2 subjects including mathematics.
7. CPU/CIMP : Average of 70% or higher in 6 subjects including Mathematics
8. Other qualifications recognized as equivalent by the university senate or the Malaysian government.


PLO

key idea Programme Learning Outcome (PLO) At the end of the programme, students should have the ability to: Domains
PLO 1 Advanced knowledge Demonstrate a critical and in-depth understanding of frontier knowledge by generating substantial and original contributions to a field and/or practice; Cognitive
PLO 2 Apply knowledge in the field Synthesise existing and new knowledge in one or more discipline areas to develop new concepts or interpretations or applications; Psychomotor
PLO 3 Modern Tools Usage Conduct rigorous and independent research or investigation with minimal supervision; Psychomotor
PLO 4 Society Demonstrate intellectual leadership qualities and management skills; Affective
PLO 5 Ethics Perform research adhering to legal, ethical, professional and sustainable practices; Affective
PLO 6 Individual and TeamWork / Communication Communicate cogently in the field/s and interact with specialist and general audience; Affective
PLO 7 Problem Solving Select and use suitable digital and analytical techniques to research problems; and Cognitive
PLO 8 Long Life learning Demonstrate commitment to lifelong learning and personal development. Affective

PEO

To produce competent graduates who are able to:
PEO 1


PEO 2


PEO 3 		Utilise innovative methodologies, models and techniques to generate new ideas by applying modern research knowledge.

Communicate efficiently to express information, problems and solutions within social, ethical and legal responsibilities

Demonstrate interpersonal and entrepreneurial skills for lifelong learning, research and career development in line with modern industry demands.