Master of Science in Digital Technology and Analytics

Key Modules

• 1Internet of Everything(IoE) MDT1001
• 2Machine learning MDT1002
• 3Python programming for Data analysis MDT1003
• 4Research Techniques In Computer Science/ Research methods MIC1003/MDT1004
• 5AI & Deep Learning MDT1005
• 6Data science MDT1006
• 7Project (Dissertation) MDT 1011
• 8Electives must choose any 2
• 9Big Data analytics MDT1007
• 10Digital innovation (AR/VR) MDT1008
• 11Web technology and Cloud computing MDT1009
• 12Data visualization MDT1010

Entry Requirements

• A Bachelor’s degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 2.50, as accepted by the HEP Senate;
• 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 can be accepted subject to a thorough rigorous assessment as determined by the HEP;
• A Bachelor’s degree (Level 6, MQF) in Non-Computing field with a minimum CGPA of 2.00 can be accepted subject to a thorough rigorous assessment as determined by the HEP to identify the appropriate prerequisite courses that equivalent to their working experience in the Computing or related fields;
• A Bachelor’s degree (Level 6, MQF) in Non-Computing field with a minimum CGPA of 2.00 can be accepted subject to appropriate prerequisite courses;
• 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.
• Academic Requirements
• English Language Requirements
• Local and International Students
• 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.

Career Prospects

• Web Analyst
• Digital Analytics Research Analyst
• Digital Business Analysis
• Digital Design and Data Visualization
• Project Management
• Data Science and Data Analytics