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

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

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

Why Study Data Analytics at University of Warwick

  • 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

Program duration

12 Months

Degree type

Genetic Data Analytics

Course credits




Delivery type

Full time

Delivery medium

On Campus

Tuition fees

Fees mentioned may differ from the actual amount.

Annual tuition fees


Full course fees (12 months)


Interest rates as low as 7.99%
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Application Fee


Application date

October 3, 2023

Application Deadlines

Application Deadline Fall (Standard Deadline)

Aug 02, 2023


Application pre-requisites

  • Online Application
  • Application Fee
  • English Language Proficiency
  • Academic Transcripts
  • Personal statement 
  • One Academic Reference

Test score requirements

Minimum English Scores







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Course Details

Core subject areas

  • Dissertation Project in Data Analytics
  • Research Methods
  • Foundations of Data Analytics
  • Foundations of Computing
  • Data Mining

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