> Bachelor's Degree

1. A Bachelor's Degree (Level 6, Malaysian Qualifications Framework (MQF)) in Computing or related fields with a minimum CGPA of 2.50, as accepted by the UNIRAZAK 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 2.50 may be accepted subject to a thorough and rigorous assessment as determined by the UNIRAZAK Senate; OR
3. A Bachelor's Degree (Level 6, MQF) in a Non-Computing field with a minimum CGPA of 2.00 may be accepted subject to a thorough and rigorous assessment by the UNIRAZAK Senate to determine the appropriate prerequisite courses in Computing or related fields; OR
4. A Bachelor's Degree (Level 6, MQF) in a Non-Computing field with a minimum CGPA of 2.00 may be accepted subject to completing the appropriate prerequisite courses; OR
5. 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 requirements stated in Item (i) or (ii).

> Others

• Admission through Accreditation of Prior Experiential Learning (APEL).

> International Applicants

Applicants must achieve a minimum of Band 4 in the Malaysian University English Test (MUET) or an equivalent qualification aligned with the Common European Framework of Reference for Languages (CEFR) at Low B2. Applicants who do not meet this requirement will be required to undertake English proficiency courses prescribed by UNIRAZAK to ensure sufficient language proficiency for the programme.

> Courses Offered

The programme requires a total of 40 credit hours to complete within 1–2 years.

> Common Core Courses

• IT Project Management
• IT Governance and Compliance
• Data Lakes and Data Warehouses
• Advanced Data Analytics
• Data Visualization and Dashboarding
• Research Methodology

> Elective Courses

Choose ONE specialisation (12 Credit Hours).

Artificial Intelligence

• AI for Business
• AI Strategy and Governance
• AI Ethics and Policy
• Generative AI Leadership & Strategy

Cybersecurity

• Cybersecurity Leadership and Management
• Cybersecurity for Risk Management
• AI Cybersecurity and Privacy
• Advanced Cybersecurity Technologies

> Master Project

• Master Project