Master in Data Science

(R/0613/7/0038)(09/33) (MQA/SWA 14798)

Offer by  Lee Kong Chian Faculty of Engineering and Science, Sungai Long Campus

This programme provides students with the specialised knowledge required to formulate solutions to complex data problems across a range of domain settings – turning raw data sets into meaningful information to better guide decision making. Data management and analytics helps organisations harness their data and use it to identify new opportunities. In turn, that increases revenues, improves operational efficiency, optimises marketing campaigns and customer service efforts, responds more quickly to emerging market trends and gains a competitive edge over rivals -- all with the ultimate goal of boosting organisation performance.

Intake:  February, June & October
Duration:  Full Time : Min 1.5 years - Max 4 years,    
Part Time : Min 2 years - Max 6 years
Indicative Fees: Click here for programme fees
Study Method: Conventional with Blended Learning (physical & online classrooms)

Career Prospects
Data Scientist, Data Engineer, Business Intelligence Analyst, Big Data Software Developer, Data Analytic Manger, Data Analytic Consultant, Operation Research Analyst , Marketing and Logistic Consultant 

Pathway to a Purdue University Master’s Degree
Graduates of this programme may apply for admission into Master in Data Science at Purdue University, USA, subject to the university’s admission requirements. Eligible applicants may be considered for credit transfer and completion of additional coursework towards the award of a Purdue University Master’s degree*. 

 *Terms and conditions apply, and tuition fees and related charges are subject to Purdue University’s prevailing policies and fee structure.

Entry Requirements

Academic Requirement

(1) A Bachelor’s Degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 2.50, as accepted by the HEP Senate; or

(2) A Bachelor’s Degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 2.00 can be accepted subject to a thorough rigorous internal assessment; or

(3) A Bachelor’s Degree (Level 6, MQF) in non-Computing field with a minimum CGPA of 2.00 can be accepted subject to a thorough rigorous assessment to identify the appropriate prerequisite courses that equivalent to their working experience in computing or related fields; or

(4) A Bachelor’s Degree (Level 6, MQF) in non-Computing field with a minimum CGPA of 2.00 can be accepted subject to appropriate prerequisite courses; or

(5) Other qualifications equivalent to a Bachelor’s Degree (Level 6, MQF) in Computing or related fields recognized by the Government of Malaysia must fulfill the requirement on item (a) or (b).

Language Requirement

  • IELTS  Academic : 6.0
  • TOEFL iBT Score : 60 -78
  • Cambridge English Qualification and Tests : 169 - 175 
  • Pearson Test of English (PTE) :  59 - 62
  • MUET Band 4

Programme Structure 

Total Credit :41
  • Data Management for Data Analytics
  • Predictive Modeling
  • Data Visualization Techniques
  • Business Intelligence Information Systems
  • Programming for Data Analytics
  • Big Data Technology
  • Research Methods
  • Electives 
  • Project 1 
  • Project 2
Electives* (Choose 3)
  • Internet of Things 
  • Advanced Cloud Computing 
  • Text Mining and Social Media Analytics 
  • Practical Deep Learning 
  • Time Series and Decision Analysis 
  • Industry Case Study for Big Data 
  • Statistics for Decision Making 
  • E-Commerce 
  • Customer Relationship Management 
  • Web Technology for Information Systems and Analytics
*Course offering is subject to availability


Head of Programme


Assoc. Prof. Ts Dr Lee Chen Kang

Contact HoP



Application

Submit the completed application form, the non-refundable processing fee with all supporting documents via the online application

Apply Now Inquiry