MSc In Digital Technology And Analytics
About
The MSc in Digital Technology and Analytics equips students with advanced knowledge and practical skills in digital innovation and data analytics. Combining emerging technologies like Cloud Computing, IoT, Machine Learning, and Data Analytics, the programme prepares graduates to drive data-driven decision-making and innovation. It offers a strong foundation for those seeking a competitive edge in the digital economy and aiming to lead technological transformation across industries.
Key facts
Qualification | Master's Degree |
Qualification Subtype | Master of Science (MSc) |
Coursework / Research | Coursework |
Study mode | Full-time |
Duration | 1 year |
Intakes | January, June, October |
Total estimated cost (local) | BND 13,841 |
Total estimated cost (foreign) | BND 15,932 |
Subjects
-
Information Tech (IT)
Duration
1 year
Tuition fees
Description | Local students | Foreign students |
---|---|---|
Tuition fee | BND 13,841 | BND 15,156 |
Miscellaneous fees | Data not available | BND 776 |
Total estimated cost of attendance | BND 13,841 | BND 15,932 |
Estimated cost per year | BND 13,841 | BND 15,932 |
Estimated cost as reported by the institution. There may be additional administrative fees. Please contact us for the latest information.
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Admissions
Intakes
Entry 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;
- 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 on 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.
Curriculum
- 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 (choose any 2)
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Big Data Analytics MDT1007
- Digital innovation (AR/VR) MDT1008
- Web technology and Cloud computing MDT1009
- Data visualization MDT1010