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

University of Nottingham offers exceptional education quality, high-end practical learning and ample work opportunities to its international students. After receiving their MS Degree in Advanced Data Science from the University of Nottingham, 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 Nottingham offer students a life-altering learning experience. A Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Advanced Data Science from the University of Nottingham is a great choice for students who want to analyse the field in great depth.

Why Study Data Science at University of Nottingham

  • 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

£27,200 / year

Total tuition fees total tution fees info

£27,200 / 12 months

interest rates
Interest rates as low as 7.99%
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5000+ Students

Availed education loan

3000+ Cr

Loan amount sanctioned

100% Free

Assistance for loan process

Application Fee


Application Deadline

August 04

  Fall final deadline


Test Score Requirements test score requirement

Minimum english score required







Application Pre-requisites application pre requisite

  • Online Application
  • Application Fee
  • Transcripts
  • English Language Proficiency
  • Personal Statement
  • Two References

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Course Details

Core subject areas

  • Applied Multivariate Statistics
  • Applied Statistical Modelling
  • Data Modelling and Analysis
  • Computer Vision
  • Machine Learning

Class profile

Total no. of students in the class

25 to 110 students