12 monthsProgramme duration
27,150 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Statistics and Operational Research
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Our Statistics MSc will provide you with the essential knowledge and skills relevant for a career as a professional statistician or researcher.
As the data we generate increases, so does the global demand for analysts who can apply modern statistical methods, to make sense of it. In-depth understanding and skills in statistical techniques have a broad range of applications in the modern world. Thanks to the more widespread use of data and statistical analysis required to interpret it, career opportunities for statisticians are expected to grow in areas including:
In the Autumn semester you will study the core fundamentals of statistical inference and modelling. This will provide a firm foundation for the Spring semester that includes optional modules covering topics in Statistical Machine Learning, Time Series and Multivariate Statistics.
You will develop advanced statistical skills and knowledge which will enable you to test theories, learn how to interpret large and complex data, and to extract relevant insights from it. The masters will enable you to develop computing skills in using R too.
In the summer you'll complete a dissertation. This will be in collaboration with staff from within the school, often led by experts from the internationally recognised Statistics and Probability section, or one of our industry partners such as Capital One.
As the data we generate increases, so does the global demand for analysts who can apply modern statistical methods, to make sense of it. In-depth understanding and skills in statistical techniques have a broad range of applications in the modern world. Thanks to the more widespread use of data and statistical analysis required to interpret it, career opportunities for statisticians are expected to grow in areas including:
- pharmaceuticals
- finance
- business analytics
- healthcare
- government policy
- social media and technology
In the Autumn semester you will study the core fundamentals of statistical inference and modelling. This will provide a firm foundation for the Spring semester that includes optional modules covering topics in Statistical Machine Learning, Time Series and Multivariate Statistics.
You will develop advanced statistical skills and knowledge which will enable you to test theories, learn how to interpret large and complex data, and to extract relevant insights from it. The masters will enable you to develop computing skills in using R too.
In the summer you'll complete a dissertation. This will be in collaboration with staff from within the school, often led by experts from the internationally recognised Statistics and Probability section, or one of our industry partners such as Capital One.
Programme overview
Main Subject
Statistics and Operational Research
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Our Statistics MSc will provide you with the essential knowledge and skills relevant for a career as a professional statistician or researcher.
As the data we generate increases, so does the global demand for analysts who can apply modern statistical methods, to make sense of it. In-depth understanding and skills in statistical techniques have a broad range of applications in the modern world. Thanks to the more widespread use of data and statistical analysis required to interpret it, career opportunities for statisticians are expected to grow in areas including:
In the Autumn semester you will study the core fundamentals of statistical inference and modelling. This will provide a firm foundation for the Spring semester that includes optional modules covering topics in Statistical Machine Learning, Time Series and Multivariate Statistics.
You will develop advanced statistical skills and knowledge which will enable you to test theories, learn how to interpret large and complex data, and to extract relevant insights from it. The masters will enable you to develop computing skills in using R too.
In the summer you'll complete a dissertation. This will be in collaboration with staff from within the school, often led by experts from the internationally recognised Statistics and Probability section, or one of our industry partners such as Capital One.
As the data we generate increases, so does the global demand for analysts who can apply modern statistical methods, to make sense of it. In-depth understanding and skills in statistical techniques have a broad range of applications in the modern world. Thanks to the more widespread use of data and statistical analysis required to interpret it, career opportunities for statisticians are expected to grow in areas including:
- pharmaceuticals
- finance
- business analytics
- healthcare
- government policy
- social media and technology
In the Autumn semester you will study the core fundamentals of statistical inference and modelling. This will provide a firm foundation for the Spring semester that includes optional modules covering topics in Statistical Machine Learning, Time Series and Multivariate Statistics.
You will develop advanced statistical skills and knowledge which will enable you to test theories, learn how to interpret large and complex data, and to extract relevant insights from it. The masters will enable you to develop computing skills in using R too.
In the summer you'll complete a dissertation. This will be in collaboration with staff from within the school, often led by experts from the internationally recognised Statistics and Probability section, or one of our industry partners such as Capital One.
Admission Requirements
80+
65+
6+
2.8+
A high 2:2 (55% or international equivalent) Honours degree in Mathematics or a closely related subject with substantial mathematical content. A strong mathematical background is essential.
Applicants should have a solid background in mathematics including calculus, linear algebra, probability and statistics at degree level.
We may ask you to provide detailed syllabi, including module descriptions, of all mathematics and statistics modules that are a part of your degree.
Applicants should have a solid background in mathematics including calculus, linear algebra, probability and statistics at degree level.
We may ask you to provide detailed syllabi, including module descriptions, of all mathematics and statistics modules that are a part of your degree.
12 Months
Sep
Tuition fees
Domestic
13,450 GBP
International
27,150 GBP
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