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
Are you considering a career as a professional statistician in industry? Do you want to follow a career in machine learning?
This course will provide you with the necessary advanced knowledge and skills. This masters course differs from the Statistics MSc, by providing a particular focus on statistical machine learning to help you understand and build methods that are used in everyday life. For instance, machine learning algorithms are used in mobile phones, self-driving cars, digital health, protein engineering, adaptive clinical trials and lifelong learning in robotics.
Well-qualified statisticians and data scientists are in demand world-wide as the amount of digital data we generate increases. Employment opportunities are broad in sectors such as:
In the Autumn semester you will study the core fundamentals of statistics and data science. This will provide the basis for the optional modules. This will provide a firm foundation in statistical machine learning for the Spring semester which includes optional modules covering topics in time series and multivariate statistics.
You will develop advanced statistical techniques. This 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. The course can lead to careers in data science, healthcare and the digital economy.
In the summer you'll complete a dissertation. This will be in collaboration with staff from the school's internationally recognised Statistics and Probability Section, or one of our industry partners, such as Capital One.
This course will provide you with the necessary advanced knowledge and skills. This masters course differs from the Statistics MSc, by providing a particular focus on statistical machine learning to help you understand and build methods that are used in everyday life. For instance, machine learning algorithms are used in mobile phones, self-driving cars, digital health, protein engineering, adaptive clinical trials and lifelong learning in robotics.
Well-qualified statisticians and data scientists are in demand world-wide as the amount of digital data we generate increases. Employment opportunities are broad in sectors such as:
- pharmaceuticals
- finance
- computing and AI
- business analytics
- healthcare
- government policy
- social media and technology
In the Autumn semester you will study the core fundamentals of statistics and data science. This will provide the basis for the optional modules. This will provide a firm foundation in statistical machine learning for the Spring semester which includes optional modules covering topics in time series and multivariate statistics.
You will develop advanced statistical techniques. This 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. The course can lead to careers in data science, healthcare and the digital economy.
In the summer you'll complete a dissertation. This will be in collaboration with staff from the school's 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
Are you considering a career as a professional statistician in industry? Do you want to follow a career in machine learning?
This course will provide you with the necessary advanced knowledge and skills. This masters course differs from the Statistics MSc, by providing a particular focus on statistical machine learning to help you understand and build methods that are used in everyday life. For instance, machine learning algorithms are used in mobile phones, self-driving cars, digital health, protein engineering, adaptive clinical trials and lifelong learning in robotics.
Well-qualified statisticians and data scientists are in demand world-wide as the amount of digital data we generate increases. Employment opportunities are broad in sectors such as:
In the Autumn semester you will study the core fundamentals of statistics and data science. This will provide the basis for the optional modules. This will provide a firm foundation in statistical machine learning for the Spring semester which includes optional modules covering topics in time series and multivariate statistics.
You will develop advanced statistical techniques. This 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. The course can lead to careers in data science, healthcare and the digital economy.
In the summer you'll complete a dissertation. This will be in collaboration with staff from the school's internationally recognised Statistics and Probability Section, or one of our industry partners, such as Capital One.
This course will provide you with the necessary advanced knowledge and skills. This masters course differs from the Statistics MSc, by providing a particular focus on statistical machine learning to help you understand and build methods that are used in everyday life. For instance, machine learning algorithms are used in mobile phones, self-driving cars, digital health, protein engineering, adaptive clinical trials and lifelong learning in robotics.
Well-qualified statisticians and data scientists are in demand world-wide as the amount of digital data we generate increases. Employment opportunities are broad in sectors such as:
- pharmaceuticals
- finance
- computing and AI
- business analytics
- healthcare
- government policy
- social media and technology
In the Autumn semester you will study the core fundamentals of statistics and data science. This will provide the basis for the optional modules. This will provide a firm foundation in statistical machine learning for the Spring semester which includes optional modules covering topics in time series and multivariate statistics.
You will develop advanced statistical techniques. This 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. The course can lead to careers in data science, healthcare and the digital economy.
In the summer you'll complete a dissertation. This will be in collaboration with staff from the school's internationally recognised Statistics and Probability Section, or one of our industry partners, such as Capital One.
Admission Requirements
80+
6+
65+
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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