Overview

Master of Data Science is one of the best courses to choose from that offers in-depth learning in a Data Science and Data Analytics. An MS Degree in Data Science and Data Analytics from the RMIT University has consistently made its place among the top global universities. International students prefer this course at the RMIT University due to its high graduate employability rate.

RMIT University offers exceptional education quality, high-end practical learning and ample work opportunities to its international students. After receiving their MS Degree in Data Science and Data Analytics from the RMIT University, students will be competent to carry out extensive research work in the field.

The interactive curriculum, vast research opportunities and exceptional teaching faculty at RMIT University offer students a life-altering learning experience. A Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Data Science and Data Analytics from the RMIT University is a great choice for students who want to analyse the field in great depth.

Why Study Data Science at RMIT University

  • A popular choice for international students with a diverse community
  • Learn from the best faculty members and become their research assistants
  • High-end labs to facilitate research work
  • Excellent placement programs after course completion


Course Highlights

Official website

link to course page

Annual tuition fees annual tution fees info

A$39,360 / year

Total tuition fees total tution fees info

A$78,720 / 24 months

interest rates
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5000+ Students

Availed education loan

3000+ Cr

Loan amount sanctioned

100% Free

Assistance for loan process


Application Deadline

March 06

  Term 1 standard deadline

Pre-requisites

Test Score Requirements test score requirement

Minimum english score required

IELTS

6.5

TOEFL

79

PTE

58

Application Pre-requisites application pre requisite

  • Online Application
  • Academic Transcripts
  • Graduation Certificates
  • English Language Proficiency
  • Copy of Passport
  • Resume Or Curriculum Vitae (CV)
  • Personal Statement

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Course Details

Core subject areas

  • Programming Fundamentals
  • Database Concepts
  • Applied Analytics
  • Computational Machine Learning
  • Big Data Processing

FAQ