Programme Structure

Credit requirements: 44 units                                  

(i)    Core Courses (Taught Courses) : 24 units (Code: T) 

(a)

CDS501/4 – Principles and Practices of Data Science and Analytics

(b)

CDS502/4 – Big Data Storage and Management

(c)

CDS503/4 – Machine Learning

(d)

CDS504/4 – Enabling Technologies and Infrastructures for Big Data

(e)

CDS505/4 – Data Visualisation and Visual Analytics

(f)

CDS506/4 – Research, Consultancy and Professional Skills

 

(ii)   Elective Courses: 12 Units (Code: E) 

       Choose any three (3) courses from the table below:  

Business Analytics

(a)

CDS511/4  –   Consumer Behavioural and Social Media Analytics

(b)

CDS512/4  –   Business Intelligence and Decision Analytics

(c)

CDS513/4  –   Predictive Business Analytics

Multimodal Analytics

(d)

CDS521/4  –    Multimodal Information Retrieval

(e)

CDS522/4  –    Text and Speech Analytics

(f)

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 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.