About the Programme
MSc 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.
Entry Requirements
Academic Requirements
- A Bachelor’s degree in Computing or related fields with a minimum CGPA of 2.50, as accepted by the HEP Senate; OR
- A Bachelor’s degree in Computing or related fields or equivalent with a minimum CGPA of 2.00 can be accepted subject to a minimum of FIVE (5) years of working experience in the related fields and rigorous internal assessment; OR
- Other qualifications equivalent to a Bachelor’s degree in the field of Computing or related fields recognised by the Government of Malaysia must undergo appropriate bridging courses as determined by the HEP; OR
- Candidates without a qualification in the related fields or relevant working experience must undergo appropriate bridging courses as determined by the HEP and meet a minimum CGPA of 2.00 with minimum of FIVE (5) years of working experience in the related fields, and rigorous internal assessment.
English Language Requirements
Local and International Students
IELTS
Band 6.0 International applicants who do not meet the English Language requirements will need to improve their proficiency by enrolling into the English for Tertiary Education programme (R/KJP/00920-00929) which helps them prepare for attaining a required band score. Placement into the various levels of the English for Tertiary Education programme depends on the English Language qualification students have at the point of admission and/or the outcome of the English Placement Test.
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
Career Opportunities
- Web Analyst
- Digital Analytics Research Analyst
- Digital Business Analysis
- Digital Design and Data Visualization
- Project Management
- Data Science and Data Analytics
Fees(without bridging course)
(with bridging course)
(without bridging course)
(with bridging course)
Local Students
Approximate Total Fees:
(without bridging course)
RM 45,480
(with bridging course)
RM 46,680
International Students
Approximate Total Fees:
(without bridging course)
RM 62,700
(with bridging course)
RM 64,050
Note:
- This is an estimated fee, as different countries have different visa processing charges and administrative fees. For more information, kindly refer to your region’s counselor for the detailed fee breakdown.
- In accordance with the Malaysian government tax regulation, effective 1st July 2025, a 6% service tax will be imposed on non-Malaysian citizens.
All information is correct at the time of upload and 五一吃瓜官网 University reserves the right to make amendments without prior notice.
