Data science is a multidisciplinary field of study that involves scientific methods, processes and systems in extracting both explicit and implicit information from a variety of data structures. It combines the knowledge of mathematics and statistics, programming and data analytics. This master programme offers a variety of courses with emphasis on data analytics. Students are free to choose from three different learning modules: Data Computing, Data Analytic, and Finance & Business Analytic to match their interests and career paths. The aim of the programme is to produce knowledgeable, ethical and competitive graduates who can contribute to the nations.
| No. | Course Learning Outcome |
|---|---|
| 1. | HPP1: Ability to associate mathematical, statistical and computing knowledge in various aspects of life. |
| 2. | HPP2: Able to analyze and interpret solutions obtained using models and software in accordance with the data processing environment for the generation of new ideas. |
| 3. | HPP3: Skilled in thinking and arguing maturely with stable emotions as well as socially responsible towards society and environment. |
| 4. | HPP4: Have moral, ethical and professional values. |
| 5. | HPP5: Ability to communicate effectively visually and verbally, as well as leadership and work as a team. |
| 6. | HPP6: Skillfully use analytical techniques and al-Khwarizmi (algorithms) on large data sets to extract implied information. |
| 7. | HPP7: Skilled in assessing problems, making critical analysis, problem solving and making decisions in various circumstances through a scientific approach. |
| 8. | HPP8: Able to understand the impact of data science solutions in various dimensions of life. |
| Semester | Code & Name Course |
|---|---|
| Semester I | STQD6014 Data Science |
| STQD6214 Mathematical Statistics with Computing | |
| STQD6414 Data Mining | |
| Elective 1 | |
| Semester II | STQD6024 Machine Learning |
| STQP6014 Research Methodology and Research Seminar | |
| Elective 2 | |
| Elective 3 | |
| Semester III | STQD6889 Capstone Project |
| Elective 4 |
| No. | Entry Requirement |
|---|---|
| 1. | Bachelor’s Degree in relevant field with minimum CGPA 2.50 or equivalent, from any institutions of higher learning recognized by the UKM Senate; OR; |
| 2. | Bachelor’s Degree in relevant field with minimum CGPA 2.00 – 2.49 or equivalent, with minimum of 5 years working experience or research project in relevant field. Proof of the working experience of a foreign candidate should be acknowledge by the embassy of the respective country; OR; |
| 3. | Fulfill Accreditation of Prior Experiential Learning (APEL A) for local candidates only:
|
| 4. | Fulfill other requirements prescribed by the UKM Senate from time to time. |
| Learning Fees |
| FST > Postgraduate > Study Mode: Executives |
| 👱 | Dr Mohd Aftar Abu Bakar |
|---|---|
🖃 | Faculty of Science & Technology (FST) |
| 📧 | aftar@ukm.edu.my |
| 📱 | +6 03 8921 5784 |
| 👱 | Syahir Hazmi Samsudin Project Manager, Executive & PBJJ Program, UKMShape |
|---|---|
🖃 | syahirhazmi@ukm.edu.my |
| 📱 |  |
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