Statistics with Data Science MSc 12 months Postgraduate Programme By The University of Edinburgh |TopUniversities
Subject Ranking

# 51-100QS Subject Rankings

Programme Duration

12 monthsProgramme duration

Main Subject Area

Statistics and Operational ResearchMain Subject Area

Programme overview

Main Subject

Statistics and Operational Research

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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 recent advances. The syllabus combines rigorous statistical theory with hands-on practical experience applying statistical models to data from various application areas.


In particular, the programme includes:


  • frequentist and Bayesian methods for advanced statistical modelling
  • computational statistics
  • generalised regression models
  • principles of statistically defensible data collection, management and curation


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.

Programme overview

Main Subject

Statistics and Operational Research

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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 recent advances. The syllabus combines rigorous statistical theory with hands-on practical experience applying statistical models to data from various application areas.


In particular, the programme includes:


  • frequentist and Bayesian methods for advanced statistical modelling
  • computational statistics
  • generalised regression models
  • principles of statistically defensible data collection, management and curation


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.

Admission Requirements

Entry requirements for individual programmes vary, so please check the details for the specific programme you wish to apply for on the University of Edinburgh website. You will also need to meet the University’s language requirements.

1 Year
Sep

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