PhD in Computer Science
About
The School of Computer Science at the University of Nottingham Malaysia (UNM) is dedicated to advancing intelligent systems and computational techniques to solve real-world challenges. Its multidisciplinary research spans image processing, computer vision, artificial intelligence, human-computer interaction, ubiquitous computing, software engineering, e-learning, simulation, modelling, and computational intelligence. With a strong commitment to innovation and impact, the school actively collaborates with top research institutions, government bodies, and industries both locally and internationally.
As a research student, you will be guided by an academic supervisor in developing and executing your research project. While most postgraduate research aligns with the expertise of the faculty, privately funded students are welcome to propose alternative research topics. The programme is designed to foster deep technical expertise and contribute meaningful advancements to the fields of computer science and AI.
Key facts
Qualification | Doctoral Degree (PhD) |
Study mode | Full-time, Part-time |
Duration | 3 years |
Intakes | February, April, June, September |
Total estimated cost (local) | $ 33,482 |
Total estimated cost (foreign) | $ 37,500 |
Subjects
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Computer Science
Duration
3 years
Tuition fees
Description | Local students | Foreign students |
---|---|---|
Tuition fee | $ 33,482 | $ 37,500 |
Miscellaneous fees | Data not available | Data not available |
Total estimated cost of attendance | $ 33,482 | $ 37,500 |
Estimated cost per year | $ 11,160 | $ 12,500 |
Estimated cost as reported by the institution. There may be additional administrative fees. Please contact us for the latest information.
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Admissions
Intakes
Entry Requirements
- A master’s degree with distinction or merit (or international equivalent) with an upper second-class honours degree (2:1) (or international equivalent) in computer science or a relevant area
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A first-class honours degree (or international equivalent) in computer science or a relevant area
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Qualifications must be from a recognised university
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Applicants from all academic backgrounds are considered
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For certain programmes, prior qualifications must be in a related field
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As part of the admissions process, an interview may be required for further evaluation
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Eligibility can only be confirmed upon submission of a complete application
English Language Requirements
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IELTS (Academic): Overall score of 6.0, with no less than 5.5 in each element
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TOEFL iBT: Overall score of 80
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Minimum component scores: Writing – 17, Listening – 17, Reading – 18, Speaking – 20
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PTE (Academic): Overall score of 65, with no less than 59 in each element
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MUET: Band 4
Note:
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IELTS, TOEFL iBT, and PTE (Academic) scores must be less than two years old
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IELTS One Skill Retake is accepted
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The following are not accepted:
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IELTS Academic Online
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TOEFL iBT Home Edition
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PTE Academic Online
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MUET results are valid for five years from the release date
Curriculum
Research Areas:
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Image Processing and Computer Vision
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Artificial Intelligence and Applications
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Human-Computer Interaction and Ubiquitous Computing
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Software Engineering and E-Learning