Statistics with Data Science MSc
Course Overview - Statistics with Data Science MSc
In a digital and data-rich world, organisations across industry, the public sector and research need people who can combine programming with statistical analysis, data management and careful interpretation to turn complex data into usable evidence.
This programme combines rigorous statistical training with practical data science. You will study frequentist and Bayesian methods, computational statistics, regression modelling, and statistically defensible approaches to data collection, management and curation. You will also develop practical skills in programming, data analys...
In a digital and data-rich world, organisations across industry, the public sector and research need people who can combine programming with statistical analysis, data management and careful interpretation to turn complex data into usable evidence.
This programme combines rigorous statistical training with practical data science. You will study frequentist and Bayesian methods, computational statistics, regression modelling, and statistically defensible approaches to data collection, management and curation. You will also develop practical skills in programming, data analysis and communication, so that you can turn complex data into clear, usable evidence.
A major feature of the programme is its applied, consultancy-style dissertation format. In the summer, you will complete two back-to-back case projects in different application areas. This gives you the chance to work on realistic briefs, build breadth across more than one sector, and develop the confidence, resilience and communication skills needed in professional data science roles.
Edinburgh offers a strong environment for this training through the School of Mathematics, a broad optional-course portfolio, and links with external organisations across industry and the public sector.
Course Information
2 option s available
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Course Details
Information
Study Mode
Full-time
Duration
1 Years
Start Date
2027-09-01
Application Details
Varied
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
Unknown
Points of Entry
Unknown
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