Statistics with Data Science MSc
Course Overview - Statistics with Data Science MSc
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 r...
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.
Course Information
2 options available
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Course Details
Information
Study Mode
Full-time
Duration
1 Years
Start Date
09/2026
Campus
Unknown
Application Details
Varied
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
E56
Points of Entry
Unknown
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