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.
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 high 2:2 (55% 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
No fee information has been provided for this 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
Students enrolling on a postgraduate degree programme are charged tuition fees each year by Queen Mary. The rate you will be charged depends on whether you are assessed as a Home/EU or Overseas student.
You can find tuition fees for each course on the course finder pages on our website by clicking the apply link, or navigate here: https://www.qmul.ac.uk/postgraduate/
Further details about postgraduate taught tuition fees can also be found on our website: https://www.qmul.ac.uk/postgraduate/taught/tuitionfees/
Sponsorship information
To learn more about funding and scholarships, please visit our Funding a Masters webpage at: qmul.ac.uk/postgraduate/taught/funding_masters.
Provider information
Queen Mary University of London
Admissions and Recruitment Office
Mile End Road
Tower Hamlets
London
E1 4NS