Master of Science (Computing)

This programme offers an innovative platform for scholars to engage in innovative research, develop practical and technological solutions, and contribute significantly to the academic and professional computing communities.  With its interdisciplinary approach, the MSc (Computing) equips candidates with research capabilities, critical problem-solving skills, and ethical leadership, enabling them to excel in academia, the tech industry, and governmental roles.

Comprehensive Research Focus

• In-depth exploration of computing disciplines, including Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Cybersecurity, Networking, Internet of Things (IoT), Human-Computer Interaction, and Cloud Computing.
• Development of research skills to address contemporary challenges in computing and technology.

Interdisciplinary and Applied Research

• Integration of computational, analytical, and innovative thinking to solve technological problems.
• Application of theoretical frameworks to real-world computing scenarios.
• Emphasis on technical writing, effective communication, and professional presentation skills.

Diverse and Inclusive Environment

• Opportunities to collaborate with peers from diverse cultural and professional backgrounds.
• Promotion of ethical practices and leadership in technological innovation.

Professional Development

• Cultivation of lifelong learning and research capabilities to address global computing challenges.
• Exposure to practical problem-solving scenarios and emerging trends in computing and IT.

Specialised Study Areas

• Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Cybersecurity, Networking, Internet of Things (IoT), Human-Computer Interaction, Cloud Computing, and other emerging fields in computing.

The MSc (Computing) programme is fully research-based, emphasising research methodology to equip students with essential skills and knowledge for conducting impactful research while fostering a strong understanding of computing theories and practices.

Duration of Study

• Full-Time: 2 – 6 years
• Part-Time: 3 – 6 years

Core Components

• Research Methodology: Advanced training in qualitative and quantitative research techniques.
• Proposal Development: Guidance in preparing comprehensive research proposals.
• Dissertation: A significant original research project contributing to the field of management.
• Research Seminars: Regular presentations and discussions to refine research skills and methodologies.

Semester                               Description                          

Semester 1                         Research Methodology

Semester 2                         Proposal Defence & Research Progress Evaluation

Semester 3                                  

Semester 4                         Viva Voce

This structured progression ensures that students achieve key milestones, from mastering research methodologies to successfully defending their dissertation, leading to a comprehensive educational experience.

• 3. A Bachelor’s degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 3.00, as accepted by the HEP Senate; OR
  2. A Bachelor’s degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 2.00 and not meeting a CGPA of 3.00 can be accepted subject to a thorough rigorous assessment as determined by the HEP; OR
  • A Bachelor’s degree (Level 6, MQF) in Non-Computing fields with a minimum CGPA of 2.50 can be accepted subject to a thorough rigorous assessment as determined by the HEP to identify the appropriate prerequisite courses equivalent to their prior experience in the Computing or related fields; OR
  2. A Bachelor’s degree (Level 6, MQF) in Non-Computing fields with a minimum CGPA of 2.50 can be accepted subject to appropriate prerequisite courses; OR
  1. Other qualifications equivalent to a Bachelor’s degree (Level 6, MQF) in Computing or related fields recognised by the Government of Malaysia must fulfil the requirement on item i or ii.

  And

      English competency requirement (International Student)

  Achieve a minimum score of 6.0 in the IELTS or equivalent. If a student does not meet this requirement, the HEP must offer English proficiency courses to ensure that the student’s proficiency is sufficient to meet the needs of the programme.

   

  TUITION FEES

  • Local Students: RM15,600
  • International Students: RM24,000

Upon completion of the programme, our graduates will be able to:

• Integrate advanced knowledge related to research issues in computing.
• Recommend innovative solutions that are at the forefront of developments in the fields of study.
• Construct computing solutions and tools in terms of their usability, efficiency and effectiveness.
• Demonstrate effective interaction within a group and with a diverse audience through project discussions and participation in discourses related to the field of study.
• Exhibit effective communication within a group and with a diverse audience by publishing and presenting technical materials in the field of study.
• Utilise digital skills to acquire, interpret and extend knowledge in computing.
• Apply numerical skills to acquire, interpret and extend knowledge in computing.
• Demonstrate leadership, teamwork, autonomy and responsibility in delivering services related to the field of study.
• Exhibit capabilities to extend relevant knowledge through life-long learning.
• Exhibit capabilities of having an entrepreneurial mindset to the related field of study.
• Uphold professional and ethical practices in conducting research and delivering services related to the field of study.

Graduates of the Master of Science (Computing) programme are well-equipped for a wide range of career paths, including:

• Academia: Lecturers, researchers, and educators in computer science, information technology, and related fields.
• Tech Leadership: Executive roles in software development, cybersecurity, data science, and IT management.
• Research and Development: Innovators and contributors to emerging technologies like AI, IoT, and Cloud Computing in both private and public sectors.
• Consulting: Expert advisors in IT solutions, digital transformation, and the implementation of emerging technologies.
• Policy Development: Technology policy advisors and analysts within governmental and non-governmental organisations.

The Master of Science in Computing at UNISEL provides a comprehensive foundation in computing, empowering students to become key contributors to the technology sector. The programme combines theoretical knowledge with practical skills, preparing graduates to lead in the tech landscape and to make significant contributions to global technological advancement.