OVERVIEW
Introduction and Objective
The goal of this programme is to produce workforce/human resource in the field of Big Data 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 big data analytic 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.
Programme Structure
Credit requirements: 44 units
Core 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
Elective Courses: 12 Units (Code: E)
Choose any three (3) courses from the below:
(i) Business Analytics
- CDS511/4 – Consumer Behavioural and Social Media Analytics
- CDS512/4 – Business Intelligence and Decision Analytics
- CDS513/4 – Predictive Business Analytics
(ii) Multimodal Analytics
- CDS521/4 – Multimodal Information Retrieval
- CDS522/4 – Text and Speech Analytics
- CDS523/4 – Forensic Analytics and Digital Investigations
(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 the 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 workplace or their chosen/assigned organisation. Students work under the supervision of a lecturer and an industry mentor. 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:
- Perform work collaboratively in a multi-ethnic environment with superior, colleagues, staff and supervisors.
- Analyse the needs and/or problems related to data analytics in the workplace.
- Identify suitable quantitative and analytical tools (including software, technology and technical know-how) to propose usable solution to complex, ambiguous, unstructured problem in real world setting.
- Practice effective communication in writing and orally the progress and achievement of the practicum.
- Display leadership behaviours such as initiative, focussed, and high-performance standards.
ADMISSION REQUIREMENTS
Applicants should possess the following:
A. Bachelor's degree
1. CGPA of at least 2.75 / 4.00; or
2. CGPA between 2.50 - 2.74 with the following additional conditions: or
a) Research experience for at least one year; or
b) Work experience in related field for at least one year; or
c) At least one (1) academic publication in the relevant field; or
d) Grade B for major / elective courses; or
e) Grade B+ for final year project
3. CGPA between 2.00 - 2.49 (Bachelor's Degree with Honours) with the following additional conditions: or
a) Research experience for at least five (5) years; or
b) Work experience in related field for at least five (5) years; AND
c) At least one (1) academic publication in the relevant field; or
d) Grade B for major / elective courses; or
e) Grade B+ for final year project
B. APEL A (Level 7)
LANGUAGE REQUIREMENTS
(Applicable for International Applicants Only)
- A minimum score of 35 in Internet-based TOEFL (Test of English as a Foreign Language); or
- A minimum of Band 5 in IELTS (International English Language Testing System); or
- A minimum score of 154 in Cambridge English Advance (CAE); or
- A minimum score of 154 in Cambridge Proficiency Advance (CPE); or
- A minimum score of 36 in Pearson Test of English (PTE); or
- A minimum of Band 2 in MUET (Malaysian University English Test)
Exemption can be given if:
- English is the candidate's mother tongue or National Language; or
- The candidate graduated from an Institution of Higher Learning in which the medium of instruction is English
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