• 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

• IPS8013 Research Method
• IPS8023 Advanced Research Methods
• PIT800 Thesis Research(Informatics)

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• 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.

• 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 Structure