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Bachelor of Data Science

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Swinburne University of Technology Sarawak Campus

Bachelor of Data Science

university icon
Swinburne University of Technology Sarawak Campus

Bachelor of Data Science

Qualification
Bachelor's Degree
Duration
3 years
Intake
MarMarSepSep
English Requirement
IELTS 6.0
Offer Letter
Fees Applies
Class Type
Physical
Course Fee for International Students
First year from MYR 48,160 excludes 6% SST & other fees
Estimated total tuition from ~MYR 144,480 3 years programme
Published fees don't include possible scholarships and YourUni discounts — most students pay less than the sticker price.

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Swinburne University of Technology Sarawak Campus ?

The Bachelor of Data Science program at Swinburne University of Technology Sarawak Campus empowers students to utilize data for leading careers in data-driven decision-making and forecasting. Students gain hands-on experience with big data management tools and learn how to use data to identify and solve problems, even before they occur. This program prepares graduates to become essential assets in various sectors, including government, marketing, finance, healthcare, and more.

Entry Requirement

  • The minimum entry requirement, you may be selected for one of our courses. However, meeting the minimum requirements doesn’t guarantee that you will be selected.

 

For other qualifications and certificates (e.g., UEC, Foundation, STAM, etc..) please contact our educational consultants or submit your application for Admission assessment.

Core Units

8 units (100 credit points)-Units:

  • Introduction to Programming 
  • Web Technology Project 
  • Networks and Switching 
  • Computer Systems 
  • Object Oriented Programming 
  • Technology in an Indigenous Context Project 
  • Computing Technology Project A
  • Computing Technology Project B

Major: Data Science-8 units (100 credit points)

  • Cloud Computing Architecture 
  • Database Design Project 
  • Computing Technology Innovation Project
  • Software Architecture and Design
  • Data Science Principles 
  • Big Data Architecture and Application
  • Data Visualisation
  • Software Deployment and Evolution 
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