Master of Science in Digital Technology and Analytics

Master of Science in Digital Technology and Analytics is aimed at providing students with a unique opportunity to combine knowledge of digital Technology with Analytical insights and strategies, enabling them to stay ahead of one the fastest evolving trends in the world.

From this programme, students will gain advanced knowledge and develop skills with a focus on the latest advances in digital technologies, such as Cloud Computing, Internet of Things, as well as tools for Analysis, Data Analytics and Machine Learning.

Academic Requirements

1. 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; 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 can be accepted subject to a thorough rigorous assessment as determined by the HEP; OR
3. 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; OR
4. 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; 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 requirement on item i or ii.

English Language Requirements

Local and International Students

• IELTS Academic: Band 5.5
• MUET: Band 4
• CEFR: Low B2

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.

Courses Offered

• Internet of Everything (IoE) MDT1001
• Machine learning MDT1002
• Python programming for Data analysis MDT1003
• Research Techniques In Computer Science / Research methods MIC1003/MDT1004
• AI & Deep Learning MDT1005
• Data science MDT1006
• Project (Dissertation) MDT 1011

Electives must choose any 2

• Big Data analytics MDT1007
• Digital innovation (AR/VR) MDT1008
• Web technology and Cloud computing MDT1009
• Data visualization MDT1010

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