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- Queen Mary University of London
- Applied Statistics and Data Science MSc
Course options
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Qualification
MSc - Master of Science
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Location
Main Site
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Study mode
Full time
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Start date
SEP
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Duration
1 Year
Course summary
This programme moves on from traditional statistics degrees, providing modernised modules that meet the needs of industry today. You will be taught to harness the power of data and statistics in addition to learning analysis tools such as R and Python. The knowledge and skills you learn will provide you with a platform to work across a variety of industries, go into research or undertake a PhD.Become highly employable in the field of statistics across a variety of industries, including Big Pharma, Big Tech, clinical trials, psychology and Government agencies.Learn from academic experts across a number of fields such as statistics, finance and data analytics.Learn analysis tools such as R and Python.Opportunity to undertake an applied summer dissertation project.What you'll studyYou will learn the core fundamentals of statistics and machine learning, together with the relevant software. You will also learn about applications of these methods in areas such as business, biostatistics, medical statistics and survey sampling. This programme is delivered across three semesters. During the third semester, over the summer, you will work on a research project which will allow you to develop strong applied data science research skills.
Application deadline
08/09/2025
Modules
Tuition fees
- United States
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- Iceland
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- Latvia
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- Luxembourg
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- Mauritius
- Mexico
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- Moldova
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- Namibia
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- Serbia
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- Suriname
- Swaziland
- Sweden
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- Tunisia
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£ 33,500per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
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University League Table
41st
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Campus address
Queen Mary University of London, Mile End Road, London, Tower Hamlets, E1 4NS, United Kingdom
Subject rankings
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Subject ranking
27th out of 117
34th out of 65 5
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Entry standards
/ Max 223156 70%28th
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Graduate prospects
/ Max 10084.0 84%48th
4 -
Student satisfaction
/ Max 43.04 76%56th
4 -
Entry standards
/ Max 244146 60%33rd
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Graduate prospects
/ Max 10075.0 75%53rd
10 -
Student satisfaction
/ Max 43.00 75%53rd
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