The Faculty of Information Science and Technology at Universiti Kebangsaan Malaysia offers various computing programmes. However, the Master of Data Science is uniquely designed for special individuals and their organization’s needs. We collaborate with the Malaysia Administrative Modernisation and Management Planning Unit (MAMPU) and team with ABYRES Sdn.Bhd, to ensure the best knowledge delivery.
| No. | Course Learning Outcome |
|---|---|
| 1. | Analyze and evaluate data in depth. |
| 2. | Support the development and deployment of innovative big data platforms for advanced analytics. |
| 3. | Solve problems with innovative solutions for business purposes. |
| 4. | Understand data and information modelling to design, construct and evaluate databases and data warehouses for structured and unstructured data. |
| 5. | Apply data analysis methods and techniques for changing raw data into valuable and useful information. |
By considering enthusiastic executives as our main audience, the courses are designed in such a way that face-to-face learning is done in 5 full days which include active learning, lab activities, discussion and case studies. Whilst the assignments need to be completed in the next 3 weeks for full-time or 6 weeks for part-time students. The ongoing assessment contributes to 60%-70% of the overall marks and the remainder is from the final examination.
| Structure | Course |
|---|---|
| Compulsory | Fundamental of Data Science |
| Statistical Methods for Data Analytics | |
| Data Information Modeling and Databases | |
| Big Data Analytics and Management | |
| Machine Learning for Data Science | |
| Research Method in Computing (AUDIT) | |
| Project | |
| Elective | Decision Support and EIS |
| Total Credits | 40 Credits |
Bachelor’s Degree in Medicine, Technology and Science or Social Science with an excellent CGPA (Minimum CGPA 2.75) from any institution of higher learning recognized by the Senate of UKM.
OR
Bachelor’s Degree in Medicine, Technology and Science or Social Science with a CGPA less than 2.50, with conditional interviews.
OR
Bachelor’s Degree in Medicine, Technology and Science or Social Science with CGPA less than 2.50, must have 5 years of experience in the relevant area.
OR
Candidates with a bachelor’s degree in social science must pass mathematics/ or statistics or credit in mathematics or pass add math at the SPM level.
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