Master of Data Science ( C6009 )
28 Aug, 2024Application Deadline
OctStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Masters
Study Mode
Blended
Our Master of Data Science is a technical program, but we welcome students from various levels of experience, starting from budding professionals to VP/Head level, even if they are not from a cognate background. There are no prerequisites in terms of business or information technology (IT) understanding, as we provide foundational knowledge and skills in IT during the first two terms to ensure all students can effectively engage with the course material.
Turn Information into Innovation
During the course, students can expect to delve into topics and themes such as data analysis, data visualisation, big data modelling, and machine learning. These skills are versatile and can be applied to various domains and areas, providing students with a solid foundation to excel as data professionals in both private and public sectors.
Program Duration:
96 Credit Points
- 2.0 years in Full-Time
- 4.0 years in Part-Time
Teaching and Learning Arrangements:
- Saturday - on campus, 10.00 am - 5.00 pm (GMT+7)
- Tue, Wed, and Thurs - online live, 7.00 pm - 9.00 pm (GMT+7)
Programme overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Masters
Study Mode
Blended
Our Master of Data Science is a technical program, but we welcome students from various levels of experience, starting from budding professionals to VP/Head level, even if they are not from a cognate background. There are no prerequisites in terms of business or information technology (IT) understanding, as we provide foundational knowledge and skills in IT during the first two terms to ensure all students can effectively engage with the course material.
Turn Information into Innovation
During the course, students can expect to delve into topics and themes such as data analysis, data visualisation, big data modelling, and machine learning. These skills are versatile and can be applied to various domains and areas, providing students with a solid foundation to excel as data professionals in both private and public sectors.
Program Duration:
96 Credit Points
- 2.0 years in Full-Time
- 4.0 years in Part-Time
Teaching and Learning Arrangements:
- Saturday - on campus, 10.00 am - 5.00 pm (GMT+7)
- Tue, Wed, and Thurs - online live, 7.00 pm - 9.00 pm (GMT+7)
Admission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
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Scholarship Applications: Frequently Asked Questions
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