Master of Data Science - School of Computer Sciences
Master of Data Science - School of Computer Sciences
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OVERVIEW
The goal of this programme is to produce workforce/human resource in the field of data science and analytics who are capable of making decisions based on the availability of comprehensive data. Therefore, the objective of this programme is to produce graduates who:
- have a deep understanding of the core concepts, practices and tools in the domain of data science and analytics.
- have the knowledge and skills in collecting and consolidating data, data modelling and advanced analysis of data which can be applied in jobs across various sectors, especially the service, business, marketing, manufacturing and healthcare sectors.
- can act as high-power data (open source or industry standards) users in a variety of industries as well as have social, ethical and effective communication skills, and good leadership attributes.
- are innovative in the application and use of data science and analytics tools in various fields or as researchers who are capable of making decisions based on the availability of comprehensive data as well as able to realise lifelong learning and pursue studies at a higher level in cross-disciplinary research involving ICT.
The credit requirement of this Master of Data Science coursework mode programme is 44 units.
(i) Core Courses (Taught Courses): 24 units (Code: T)
- CDS501/4 – Principles and Practices of Data Science and Analytics
- CDS502/4 – Big Data Storage and Management
- CDS503/4 – Machine Learning
- CDS504/4 – Enabling Technologies and Infrastructures for Data Science
- CDS505/4 – Data Visualisation and Visual Analytics
- CDS506/4 – Research, Consultancy and Professional Skills
(ii) Elective Courses: 12 Units (Code: E)
Choose any three (3) courses from the table below:
(iii) Project (Core): 8 units (Code: T)
CDS590 – Consultancy Project and Practicum
This experiential work-based learning course prepares students to be a data scientist/analytics consultant by enhancing students’ knowledge and skills in research, planning and implementation of a consultancy project in the field of data science/analytics, which can be applied to real life situation. Students are required to complete the practicum at their respective workplaces or their chosen/assigned organisations. Students work under the supervision of a lecturer and an industry supervisor. The students are required to solve a real- world problem or tap opportunities related to data science and analytics during their practicum.
The prerequisite of this course is CDS506 which must be taken in the preceding semester. The students are required to secure practicum placement together with project proposal during CDS506.
At the end of this course, the students will be able to:
- Devise a solution to a real-world problem using data science technique appropriately.
- Practice effective communication orally, the progress and achievement of the practicum.
- Perform work collaboratively in a multi-ethnic environment with superior, colleagues, staff and supervisors.
- Display professional behaviours such as trust, honest and non-violation of the predefined policy at the workplace.
- Display confidence and ability to overcome challenges in completing the project and practicum.
- Perform project tasks with proper planning to meet project milestone.
- Display high level of responsibility and accountability to lead the project independently.
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ADMISSION REQUIREMENTS
Applicants should possess the following:
A Bachelor’s degree in Computer Science/Computing/Information Technology or equivalent
- CGPA of at least 2.75/4.00; or
- CGPA between 2.50 - 2.74/4.00 with the following additional conditions: or
- Research experience for at least one (1) year; or
- Professional experience in related field for at least one (1) year; or
- One (1) academic publication in the relevant field; or
- Grade B for major/elective courses; or
- Grade B+ for final year project
- CGPA between 2.00 - 2.49/4.00 (honours degree) with the following additional conditions:
- Research experience for at least five (5) years; or
- Professional experience in related field for at least five (5) years; AND
- One (1) academic publication in the relevant field; or
- Grade B for major/elective courses; or
- Grade B+ for final year project
Any Bachelor’s degree in Computer Science/Computing/Information Technology awarded by local private institutions of higher learning, including those awarded under any collaborative/franchising schemes with local or foreign partners must be accredited by the Malaysian Qualifications Agency (MQA).
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LANGUAGE REQUIREMENTS
(Applicable for International Applicants Only)
The minimum score for each programme can be vary from the below list, candidates are required to check for each programme requirements.
- A minimum of Band 6 for IELTS; or
- A minimum score of 60 for TOEFL (Internet-based); or
- A minimum of Band 8.5 for TOEFL Essentials (Online); or
- A minimum score of 169 for Cambridge English: Advance (CAE)/Proficiency (CPE) /Preliminary (PET) /First (FCE)/ Linguaskill Online min. score 169/ Occupational English Test (OET) min. score 250; or
- A minimum score of 59 for Pearson Test of English (PTE); or
- A minimum of Band 109 for CIEP Level (ELS); or
- A minimum of Band 4 for Malaysian University English Test (MUET)
Exemption is given to candidate if:
- English is the candidate’s mother tongue or National Language; or
- Candidate graduated from an Institution of Higher Learning in which the medium of instruction at Bachelor and/or Master degree level is English (statement of proof required)
IMPORTANT: Candidates are required to provide any of the above English result upon application. Incomplete application will be rejected.
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DURATIONS
- Full-time: Min 3 semesters / Max 6 semesters
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SEMESTER INTAKE
- April & October
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FEES
Malaysian (MYR) International (USD) - Registration Fee : 310.00
- Tuition Fee : 270.00 X 44 Units = 11,880.00
- Convocation Fee : 200.00
- Registration Fees : 222.50
- Personal Bond : 1,000.00
- Tuition Fees : 101.25 X 44 Units = 4,455.00
- Convocation Fee : 50.00
** New fees to be imposed starting from Academic Session 2025/2026 (October 2025 intake onward)
Malaysian (MYR) International (USD) - Registration Fee : 330.00
- Tuition Fee : 480.00 X 44 Units = 19,200.00
- Convocation Fee : 200.00
- Registration Fees : 225.00
- Personal Bond : 1,000.00
- Tuition Fees : 200.00 X 44 Units = 8,000.00
- Convocation Fee : 50.00
** Fees are subject to change