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Applied Statistics and Data Science at Queen Mary University of London - UCAS

Course options

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. Programme Highlights

  • 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.
Career Outcomes Successful completion of this degree will provide you with opportunities to go into industry in areas such as clinical trials, Big Pharma, Big Tech, psychology and Government agencies. The programme will also provide you with a platform to go into research or undertake a PhD.

Modules

Semester One - Compulsory Modules Applied Statistical Modelling Bayesian Statistics Probability and Statistics for Data Analytics Elective Modules (choose one from): Machine learning with Python Storing, Manipulating and Visualising Data Semester Two - Compulsory Module Computational Statistics with R Elective Modules (choose three from): Advanced Machine Learning Biostatistics/Medical statistics Survey sampling Time Series Time Series Analysis for Business Students will also undertake an Applied Statistics and Data Science Dissertation.

Assessment method

You will be assessed by a mixture of formal examinations and coursework in your taught modules. You will undertake more self-directed work in completing your final Applied Statistics and Data Science project.


How to apply

International applicants

Please check the course page on the Queen Mary website for information on English Language Requirements and Visas.

Entry requirements

A 2:1 or above at undergraduate level in a Science, Technology, Engineering or Mathematics (STEM) subject. Applicants with a 2:1 in any other subject can also be considered provided the degree contains satisfactory study in mathematics or statistics.


Fees and funding

Tuition fees

England £12650 Whole course
Northern Ireland £12650 Whole course
Scotland £12650 Whole course
Wales £12650 Whole course
EU £31850 Whole course
International £31850 Whole course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.

Sponsorship information

To learn more about funding and scholarships, please visit our Funding a Masters webpage at: qmul.ac.uk/postgraduate/taught/funding_masters.

Applied Statistics and Data Science at Queen Mary University of London - UCAS