In this digital and data-rich era, there is a high demand for statistics graduates from:
* industry
* the public sector
* academia
However, the pool of graduates in this area is small. The recent growth of data science has highlighted the importance of statistics, with data analysis and results interpretation well-integrated into this newly recognised field.
This programme trains the next generation of statisticians to become expert data scientists with knowledge and experience of well-established methodologies and re...
In this digital and data-rich era, there is a high demand for statistics graduates from:<br/><br/><br/>* industry<br/><br/><br/>* the public sector<br/><br/><br/>* academia<br/><br/><br/>However, the pool of graduates in this area is small. The recent growth of data science has highlighted the importance of statistics, with data analysis and results interpretation well-integrated into this newly recognised field. <br/><br/>This programme trains the next generation of statisticians to become expert data scientists with knowledge and experience of well-established methodologies and recent advances. The syllabus combines rigorous statistical theory with hands-on practical experience applying statistical models to data from various application areas.<br/><br/>In particular, the programme includes:<br/><br/><br/>* frequentist and Bayesian methods for advanced statistical modelling<br/><br/><br/>* computational statistics<br/><br/><br/>* generalised regression models<br/><br/><br/>* principles of statistically defensible data collection, management and curation<br/><br/><br/>Graduates will be in high demand. We anticipate most students will be employed as statisticians for private and public institutions providing statistical advice and consultancy. <br/><br/>**Links with Industry**<br/><br/>The School of Mathematics has connections with many of the following:<br/><br/><br/>* industrial partners<br/><br/><br/>* organisations<br/><br/><br/>* charities<br/><br/><br/>* government departments<br/><br/><br/>As an MSc student in the School you will have opportunities to engage with these external organisations through:<br/><br/><br/>* regular employability events<br/><br/><br/>* careers workshops<br/><br/><br/>* our annual analytics challenge (whose recent partners have included Edinburgh Airport and the Data and Marketing Association)<br/><br/><br/>You will also have the opportunity to work on an industry-based, consultancy-style dissertation project.<br/><br/>Recent partners for industry-based consultancy projects in the Statistics with Data Science MSc include:<br/><br/><br/>* Lloyds Banking Group<br/><br/><br/>* AzkoNobel<br/><br/><br/>* Public Health Scotland<br/><br/><br/>* Simply Business<br/>
2 options available
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Course Details
Information
Study Mode
Part-time
Duration
2 Years
Start Date
09/2025
Campus
Unknown
Varied
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
E56
Points of Entry
Unknown
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