Course Details
Study Mode :
Full Time / Part Time
Duration :
3 Years / 4 Years
Intakes :
Throughout the year
Course Details
Study Mode :
Full Time / Part Time
Duration :
3 Years / 4 Years
Intakes :
Throughout the year
Overview
The PhD in Informatics is by research where the candidate, under the supervision of senior faculty, will undertake independent research contributing towards the science of information, the practice of information processing, and the engineering of information systems. The candidate is required to complete a thesis research which must constitute a significant original contribution to the advancement of knowledge in the chosen topic. The research can be in a specialized topic (e.g. data science, IoT, cybersecurity, cloud computing, blockchain, augmented reality) or across disciplines (IT in health, finance, retail, education, supply chain, etc.). Research of inter-disciplinary nature is especially encouraged.
Program Details
Program Structure
Entry Requirement
Career Prospects
Learning Outcome
Fee Structures
Program Details
- MQF level : Level 8
- Credit value : 100% Research
- Type of award : Single Major
- National Education Code (NEC) : 0611 (Information technology and information system)
- Duration: 3 Years / 4 Years
- Mode of Study: Full Time / Part Time
- Intakes: Throughout the year
Program Structure
- IPS8013 Research Method
- IPS8023 Advanced Research Methods
- PIT800 Thesis Research(Informatics)
Entry Requirement
Career Prospects
- University Professor / Academic Researcher Teaching at the university level, leading advanced research projects, publishing in high-impact journals, and supervising postgraduate students.
- Data Scientist / Lead Data Analyst Designing complex data models, extracting insights from big data, and supporting decision-making in industries such as healthcare, finance, or e-commerce.
- Artificial Intelligence / Machine Learning Specialist Developing cutting-edge AI and ML algorithms for applications in automation, robotics, natural language processing, and intelligent systems.
- Chief Technology Officer (CTO) / Technology Strategist Overseeing technological innovation and aligning IT strategy with business goals in tech-driven organizations or startups.
- Software Architect / Systems Designer Designing large-scale, complex software systems with an emphasis on scalability, security, and performance.
- Health Informatics Specialist / Researcher Leading digital health initiatives, developing health information systems, and analyzing healthcare data to improve patient outcomes.
- Cybersecurity Expert / Analyst Conducting advanced research in information security, developing protection mechanisms, and advising on cyber risk management.
- Human-Computer Interaction (HCI) Researcher Investigating user experience (UX), interface design, and user behavior to enhance usability and accessibility in digital technologies.
- Postdoctoral Fellow / Research Scientist (Public or Private Sector) Engaging in advanced informatics research at international institutes, tech firms, or government-funded innovation centers.
- Big Data and Cloud Solutions Consultant Designing and implementing scalable data platforms and advising organizations on the integration of cloud-based technologies for digital transformation.
Learning Outcome
- Integrate state-of-art knowledge through a systematic comprehension and in-depth understanding of the field of study.
- Develop original research work that broadens the boundary of knowledge through an in-depth thesis that has been presented and defended according to HEP standards.
- Develop innovative computing solutions that stand the tests of applicability, efficiency and effectiveness.
- Demonstrate effective interaction with peers, scholarly communities and society of diverse audiences through participation in discourses related to the field of study.
- Exhibit effective communication with peers, scholarly communities and society of diverse audiences by publishing and presenting technical materials in the fields of study.
- Utilise appropriate digital tools to acquire, interpret and extend knowledge in computing.
- Apply appropriate numerical techniques to acquire, interpret and extend knowledge in computing.
- Demonstrate leadership, teamwork, autonomy and responsibility in conducting research based on computing theoretical framework.
- Exhibit capabilities to extend relevant knowledge through life-long learning.
- Exhibit capabilities of having an entrepreneurial mindset related to the field of study.
- Uphold professional and ethical practices in conducting research and delivering solutions related to the field of study.
Fee Structures
Fee Structure
| Fee Structure | Local Amount (RM) | International Amount (USD) |
|---|---|---|
| Admission Fees | ||
| Registration fee | RM 300 | USD 80 |
| Resource fee | RM 500 | USD 140 |
| VISA fee | Not Applicable | USD 800 |
| Security bond fee *refundable | Not Applicable | Differ based on country |
| Tuition Fees | ||
| Semester 1 | RM 8,000 | USD 2,000 |
| Semester 2 | RM 8,000 | USD 2,000 |
| Semester 3 | RM 8,000 | USD 2,000 |
| Semester 4 | RM 8,000 | USD 2,000 |
| Semester 5 | RM 8,000 | USD 2,000 |
| Semester 6 | RM 5,000 | USD 1,000 |
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Contact For Registration
- +603-6150 8177
- enquiries@must.edu.my
M.U.S.T. Whatsapp
- +60 11-5581 7740