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 Drew University has consistently made its place among the top global universities. International students prefer this course at the Drew University due to its high graduate employability rate.

Drew 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 Drew 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 Drew 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 Drew University is a great choice for students who want to analyse the field in great depth.

Why Study Data Science at Drew 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

$41,760 / year

Total tuition fees total tution fees info

$41,760 / 12 months

interest rates
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5000+ Students

Availed education loan

3000+ Cr

Loan amount sanctioned

100% Free

Assistance for loan process

Pre-requisites

Test Score Requirements test score requirement

Minimum english score required

TOEFL

80

IELTS

6.5

Duolingo

105

Minimum aptitude score required

GRE

Waived off until further notice

GMAT

Waived off until further notice

Application Pre-requisites application pre requisite

  • Online Application
  • Official Transcripts
  • Resume/CV
  • Personal Statement
  • English Language Proficiency

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Course Details

Core subject areas

  • Introductory Statistics (or equivalent)
  • Introduction to Programming (or equivalent)
  • Statistics Using R
  • Computational Thinking/Programming in Python 
  • Applied Regression Analysis

FAQ