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MSc Statistical Data Science

  • DeadlineStudy Details:

    MSc 1 year full-time

Course Description

The MSc in Statistical Data Science is excellent preparation for careers in any field requiring a strong background in data science, with particular emphasis on statistics.

This course trains data scientists for posts in any of the multitude of companies and organisations that make use of data. Core modules give a thorough grounding in modern applications of statistics to data science and there is the opportunity to choose additional topics to match your interests and future career plans.

Reasons to study MSc Statistical Data Science at Kent

  • You’ll be given the opportunity to develop practical, mathematical and computing skills in statistics, while working on challenging and important problems relevant to a broad range of potential employers.
  • Learn from our expert teaching and supervision staff, who are research-active, with established reputations.
  • Advanced and accessible computing facilities.
  • Be part of a supportive community at our Canterbury campus, one hour from London.
  • You can increase your career prospects through an Industrial Placement.

Entry Requirements

A good 2:2, 2:1 or First Class degree, with a substantial amount of mathematics at university level.

All applicants are considered on an individual basis and additional qualifications, professional qualifications and relevant experience may also be taken into account when considering applications.

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Fees

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Programme Funding

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Student Destinations

Students often go into careers as professional statisticians or data scientists in industry, government, research and teaching but our programmes also prepare you for careers in other fields requiring a strong data science background. You have the opportunity to attend careers talks from professional data scientists working in industry and to attend networking meetings with employers.

Our graduates have started careers in diverse areas such as the pharmaceutical industry, financial services and sports betting.

Module Details

For module information please see here

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