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Newcastle University: Statistics
| Institution | Newcastle University View institution profile |
|---|---|
| Department | School of Mathematics, Statistics and Physics |
| Web | Visit Newcastle University website |
Doctor of Philosophy - PhD
Summary
We have a strong international reputation for making original contributions to Bayesian methodology, bioinformatics and biostatistics. We invite postgraduate research proposals in any of these three areas.
As a research postgraduate in the School of Mathematics, Statistics and Physics you will be supported by a team of experts in your chosen field. You will also have the opportunity to develop and enhance your skill set through appropriate research training.
To help you identify a topic and potential supervisor, we encourage you to find out more about our staff specialisms and read about the PhD projects undertaken by some of our recent postgraduate students. A list of example statistical projects currently offered is also available.
As a PhD student you will be supported by team supervision. You will also go through a research training analysis to identify any skills that you need to develop.
Attendance is flexible and agreed between you and your supervisors depending on the requirements of your research project.
Research areas
Our work breaks down into the following research groups: - Bayesian methodology for complex models
-
Big data scalability and computation
-
Biostatistics and stochastic systems biology
-
Spatial and environmental statistics
Research funding
We undertake projects funded by the Research Councils, major trusts, government departments and the EU. Since 2008, members of the School have been named on over £16m of research awards. Many of these awards were for large interdisciplinary projects, in which the School played a vital role, including: •a £5.5m Engineering and Physical Sciences Research Council grant to explore the potential of microorganisms to provide clean water •a £1.5m European Commission project to study eukaryotic genomic origins, parasites, and the essential nature of mitochondria •a £2.1m Medical Research Council funded project on ways to advance health and wellbeing in later life.
In total, £3.5m of funding was attributed to the School.
Facilities
We are located in the Herschel building which has well-equipped seminar and meeting rooms. You will have access to online research facilities via your own desktop PC in a shared postgraduate work space. There is also a teaching cluster (of about 150 PCs) within the School. Computing support is provided by two specialist technical staff who are expert in providing assistance with fast numerical and distributed processing.
As well as the library resources provided by the main Peter Robinson Library, you will have access to the School's mathematics and statistics library and reading room.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | A 2:1 honours degree, or international equivalent, in: computing science International Students Direct Entry : IELTS 6.5 overall (with a minimum of 5.5 in all sub-skills) If you have lower English Language scores, you may be accepted onto a pre-sessional English course. Our typical English Language requirements are listed as IELTS scores but we also accept a wide range of English Language tests. The equivalent academic qualifications that we accept are listed on our country pages. |
| Location | Main Site (Newcastle) King's Gate Newcastle upon Tyne NE1 7RU |
Summary
We have a strong international reputation for making original contributions to Bayesian methodology, bioinformatics and biostatistics. We invite postgraduate research proposals in any of these three areas.
As a research postgraduate in the School of Mathematics, Statistics and Physics you will be supported by a team of experts in your chosen field. You will also have the opportunity to develop and enhance your skill set through appropriate research training.
To help you identify a topic and potential supervisor, we encourage you to find out more about our staff specialisms and read about the PhD projects undertaken by some of our recent postgraduate students. A list of example statistical projects currently offered is also available.
As a PhD student you will be supported by team supervision. You will also go through a research training analysis to identify any skills that you need to develop.
Attendance is flexible and agreed between you and your supervisors depending on the requirements of your research project.
Research areas
Our work breaks down into the following research groups: - Bayesian methodology for complex models
-
Big data scalability and computation
-
Biostatistics and stochastic systems biology
-
Spatial and environmental statistics
Research funding
We undertake projects funded by the Research Councils, major trusts, government departments and the EU. Since 2008, members of the School have been named on over £16m of research awards. Many of these awards were for large interdisciplinary projects, in which the School played a vital role, including: •a £5.5m Engineering and Physical Sciences Research Council grant to explore the potential of microorganisms to provide clean water •a £1.5m European Commission project to study eukaryotic genomic origins, parasites, and the essential nature of mitochondria •a £2.1m Medical Research Council funded project on ways to advance health and wellbeing in later life.
In total, £3.5m of funding was attributed to the School.
Facilities
We are located in the Herschel building which has well-equipped seminar and meeting rooms. You will have access to online research facilities via your own desktop PC in a shared postgraduate work space. There is also a teaching cluster (of about 150 PCs) within the School. Computing support is provided by two specialist technical staff who are expert in providing assistance with fast numerical and distributed processing.
As well as the library resources provided by the main Peter Robinson Library, you will have access to the School's mathematics and statistics library and reading room.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | A 2:1 honours degree, or international equivalent, in: computing science International Students Direct Entry : IELTS 6.5 overall (with a minimum of 5.5 in all sub-skills) If you have lower English Language scores, you may be accepted onto a pre-sessional English course. Our typical English Language requirements are listed as IELTS scores but we also accept a wide range of English Language tests. The equivalent academic qualifications that we accept are listed on our country pages. |
| Location | Main Site (Newcastle) King's Gate Newcastle upon Tyne NE1 7RU |
Summary
We have a strong international reputation for making original contributions to Bayesian methodology, bioinformatics and biostatistics. We invite postgraduate research proposals in any of these three areas.
As a research postgraduate in the School of Mathematics, Statistics and Physics you will be supported by a team of experts in your chosen field. You will also have the opportunity to develop and enhance your skill set through appropriate research training.
To help you identify a topic and potential supervisor, we encourage you to find out more about our staff specialisms and read about the PhD projects undertaken by some of our recent postgraduate students. A list of example statistical projects currently offered is also available.
As a PhD student you will be supported by team supervision. You will also go through a research training analysis to identify any skills that you need to develop.
Attendance is flexible and agreed between you and your supervisors depending on the requirements of your research project.
Research areas
Our work breaks down into the following research groups: - Bayesian methodology for complex models
-
Big data scalability and computation
-
Biostatistics and stochastic systems biology
-
Spatial and environmental statistics
Research funding
We undertake projects funded by the Research Councils, major trusts, government departments and the EU. Since 2008, members of the School have been named on over £16m of research awards. Many of these awards were for large interdisciplinary projects, in which the School played a vital role, including: •a £5.5m Engineering and Physical Sciences Research Council grant to explore the potential of microorganisms to provide clean water •a £1.5m European Commission project to study eukaryotic genomic origins, parasites, and the essential nature of mitochondria •a £2.1m Medical Research Council funded project on ways to advance health and wellbeing in later life.
In total, £3.5m of funding was attributed to the School.
Facilities
We are located in the Herschel building which has well-equipped seminar and meeting rooms. You will have access to online research facilities via your own desktop PC in a shared postgraduate work space. There is also a teaching cluster (of about 150 PCs) within the School. Computing support is provided by two specialist technical staff who are expert in providing assistance with fast numerical and distributed processing.
As well as the library resources provided by the main Peter Robinson Library, you will have access to the School's mathematics and statistics library and reading room.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | A 2:1 honours degree, or international equivalent, in: computing science International Students Direct Entry : IELTS 6.5 overall (with a minimum of 5.5 in all sub-skills) If you have lower English Language scores, you may be accepted onto a pre-sessional English course. Our typical English Language requirements are listed as IELTS scores but we also accept a wide range of English Language tests. The equivalent academic qualifications that we accept are listed on our country pages. |
| Location | Main Site (Newcastle) King's Gate Newcastle upon Tyne NE1 7RU |
Summary
We have a strong international reputation for making original contributions to Bayesian methodology, bioinformatics and biostatistics. We invite postgraduate research proposals in any of these three areas.
As a research postgraduate in the School of Mathematics, Statistics and Physics you will be supported by a team of experts in your chosen field. You will also have the opportunity to develop and enhance your skill set through appropriate research training.
To help you identify a topic and potential supervisor, we encourage you to find out more about our staff specialisms and read about the PhD projects undertaken by some of our recent postgraduate students. A list of example statistical projects currently offered is also available.
As a PhD student you will be supported by team supervision. You will also go through a research training analysis to identify any skills that you need to develop.
Attendance is flexible and agreed between you and your supervisors depending on the requirements of your research project.
Research areas
Our work breaks down into the following research groups: - Bayesian methodology for complex models
-
Big data scalability and computation
-
Biostatistics and stochastic systems biology
-
Spatial and environmental statistics
Research funding
We undertake projects funded by the Research Councils, major trusts, government departments and the EU. Since 2008, members of the School have been named on over £16m of research awards. Many of these awards were for large interdisciplinary projects, in which the School played a vital role, including: •a £5.5m Engineering and Physical Sciences Research Council grant to explore the potential of microorganisms to provide clean water •a £1.5m European Commission project to study eukaryotic genomic origins, parasites, and the essential nature of mitochondria •a £2.1m Medical Research Council funded project on ways to advance health and wellbeing in later life.
In total, £3.5m of funding was attributed to the School.
Facilities
We are located in the Herschel building which has well-equipped seminar and meeting rooms. You will have access to online research facilities via your own desktop PC in a shared postgraduate work space. There is also a teaching cluster (of about 150 PCs) within the School. Computing support is provided by two specialist technical staff who are expert in providing assistance with fast numerical and distributed processing.
As well as the library resources provided by the main Peter Robinson Library, you will have access to the School's mathematics and statistics library and reading room.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | A 2:1 honours degree, or international equivalent, in: computing science International Students Direct Entry : IELTS 6.5 overall (with a minimum of 5.5 in all sub-skills) If you have lower English Language scores, you may be accepted onto a pre-sessional English course. Our typical English Language requirements are listed as IELTS scores but we also accept a wide range of English Language tests. The equivalent academic qualifications that we accept are listed on our country pages. |
| Location | Main Site (Newcastle) King's Gate Newcastle upon Tyne NE1 7RU |
MSc
Summary
Statistics and probability are the cornerstones of modern data science, machine learning, and artificial intelligence. As these skills become increasingly important across various fields, our Statistics MSc programme will equip you with the knowledge and expertise needed for your career.
Through this degree, you’ll embark on your journey to master statistics. Take your understanding to new depths, while challenging yourself with finding data-driven solutions to real-world problems.
This Statistics MSc offers a unique blend of graduate training in statistics and probability, as well as their practical application. You’ll explore a wide range of advanced topics and will gain a comprehensive understanding of the discipline. Our curriculum is designed to develop your expertise in cutting-edge research, allowing you to foster innovation and stay at the forefront of your chosen field.
A key feature of this programme is the dissertation project. You’ll bridge the gap between academic theory and real-world application. You’ll work directly with both industry leaders and our esteemed academics who are pioneers in their discipline. Through this hands-on experience, you will:
tackle real challenges faced by companies and researchers build a professional network gain invaluable experience that will set you apart in your career
| Study type | Taught |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | A 2:1 BSc honours degree, or international equivalent, in mathematical sciences or another quantitative degree with a formal mathematical component. Examples include, but are not limited to, computer sciences, economics, engineering and similar disciplines. Applicants from a non-standard background and individuals with strong relevant work experience are encouraged to apply and will be considered on an individual basis. |
| Location | Main Site (Newcastle) King's Gate Newcastle upon Tyne NE1 7RU |
Summary
Statistics and probability are the cornerstones of modern data science, machine learning, and artificial intelligence. As these skills become increasingly important across various fields, our Statistics MSc programme will equip you with the knowledge and expertise needed for your career.
Through this degree, you’ll embark on your journey to master statistics. Take your understanding to new depths, while challenging yourself with finding data-driven solutions to real-world problems.
This Statistics MSc offers a unique blend of graduate training in statistics and probability, as well as their practical application. You’ll explore a wide range of advanced topics and will gain a comprehensive understanding of the discipline. Our curriculum is designed to develop your expertise in cutting-edge research, allowing you to foster innovation and stay at the forefront of your chosen field.
A key feature of this programme is the dissertation project. You’ll bridge the gap between academic theory and real-world application. You’ll work directly with both industry leaders and our esteemed academics who are pioneers in their discipline. Through this hands-on experience, you will:
tackle real challenges faced by companies and researchers build a professional network gain invaluable experience that will set you apart in your career
| Study type | Taught |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | A 2:1 BSc honours degree, or international equivalent, in mathematical sciences or another quantitative degree with a formal mathematical component. Examples include, but are not limited to, computer sciences, economics, engineering and similar disciplines. Applicants from a non-standard background and individuals with strong relevant work experience are encouraged to apply and will be considered on an individual basis. |
| Location | Main Site (Newcastle) King's Gate Newcastle upon Tyne NE1 7RU |
Master of Philosophy - MPhil
Summary
We have a strong international reputation for making original contributions to Bayesian methodology, bioinformatics and biostatistics. We invite postgraduate research proposals in any of these three areas.
As a research postgraduate in the School of Mathematics, Statistics and Physics you will be supported by a team of experts in your chosen field. You will also have the opportunity to develop and enhance your skill set through appropriate research training.
To help you identify a topic and potential supervisor, we encourage you to find out more about our staff specialisms and read about the PhD projects undertaken by some of our recent postgraduate students. A list of example statistical projects currently offered is also available.
As a PhD student you will be supported by team supervision. You will also go through a research training analysis to identify any skills that you need to develop.
Attendance is flexible and agreed between you and your supervisors depending on the requirements of your research project.
Research areas
Our work breaks down into the following research groups: - Bayesian methodology for complex models
-
Big data scalability and computation
-
Biostatistics and stochastic systems biology
-
Spatial and environmental statistics
Research funding
We undertake projects funded by the Research Councils, major trusts, government departments and the EU. Since 2008, members of the School have been named on over £16m of research awards. Many of these awards were for large interdisciplinary projects, in which the School played a vital role, including: •a £5.5m Engineering and Physical Sciences Research Council grant to explore the potential of microorganisms to provide clean water •a £1.5m European Commission project to study eukaryotic genomic origins, parasites, and the essential nature of mitochondria •a £2.1m Medical Research Council funded project on ways to advance health and wellbeing in later life.
In total, £3.5m of funding was attributed to the School.
Facilities
We are located in the Herschel building which has well-equipped seminar and meeting rooms. You will have access to online research facilities via your own desktop PC in a shared postgraduate work space. There is also a teaching cluster (of about 150 PCs) within the School. Computing support is provided by two specialist technical staff who are expert in providing assistance with fast numerical and distributed processing.
As well as the library resources provided by the main Peter Robinson Library, you will have access to the School's mathematics and statistics library and reading room.
| Study type | Research |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | A 2:1 honours degree, or international equivalent, in: computing science International Students Direct Entry : IELTS 6.5 overall (with a minimum of 5.5 in all sub-skills) If you have lower English Language scores, you may be accepted onto a pre-sessional English course. Our typical English Language requirements are listed as IELTS scores but we also accept a wide range of English Language tests. The equivalent academic qualifications that we accept are listed on our country pages. |
| Location | Main Site (Newcastle) King's Gate Newcastle upon Tyne NE1 7RU |
Summary
We have a strong international reputation for making original contributions to Bayesian methodology, bioinformatics and biostatistics. We invite postgraduate research proposals in any of these three areas.
As a research postgraduate in the School of Mathematics, Statistics and Physics you will be supported by a team of experts in your chosen field. You will also have the opportunity to develop and enhance your skill set through appropriate research training.
To help you identify a topic and potential supervisor, we encourage you to find out more about our staff specialisms and read about the PhD projects undertaken by some of our recent postgraduate students. A list of example statistical projects currently offered is also available.
As a PhD student you will be supported by team supervision. You will also go through a research training analysis to identify any skills that you need to develop.
Attendance is flexible and agreed between you and your supervisors depending on the requirements of your research project.
Research areas
Our work breaks down into the following research groups: - Bayesian methodology for complex models
-
Big data scalability and computation
-
Biostatistics and stochastic systems biology
-
Spatial and environmental statistics
Research funding
We undertake projects funded by the Research Councils, major trusts, government departments and the EU. Since 2008, members of the School have been named on over £16m of research awards. Many of these awards were for large interdisciplinary projects, in which the School played a vital role, including: •a £5.5m Engineering and Physical Sciences Research Council grant to explore the potential of microorganisms to provide clean water •a £1.5m European Commission project to study eukaryotic genomic origins, parasites, and the essential nature of mitochondria •a £2.1m Medical Research Council funded project on ways to advance health and wellbeing in later life.
In total, £3.5m of funding was attributed to the School.
Facilities
We are located in the Herschel building which has well-equipped seminar and meeting rooms. You will have access to online research facilities via your own desktop PC in a shared postgraduate work space. There is also a teaching cluster (of about 150 PCs) within the School. Computing support is provided by two specialist technical staff who are expert in providing assistance with fast numerical and distributed processing.
As well as the library resources provided by the main Peter Robinson Library, you will have access to the School's mathematics and statistics library and reading room.
| Study type | Research |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | A 2:1 honours degree, or international equivalent, in: computing science International Students Direct Entry : IELTS 6.5 overall (with a minimum of 5.5 in all sub-skills) If you have lower English Language scores, you may be accepted onto a pre-sessional English course. Our typical English Language requirements are listed as IELTS scores but we also accept a wide range of English Language tests. The equivalent academic qualifications that we accept are listed on our country pages. |
| Location | Main Site (Newcastle) King's Gate Newcastle upon Tyne NE1 7RU |
Summary
We have a strong international reputation for making original contributions to Bayesian methodology, bioinformatics and biostatistics. We invite postgraduate research proposals in any of these three areas.
As a research postgraduate in the School of Mathematics, Statistics and Physics you will be supported by a team of experts in your chosen field. You will also have the opportunity to develop and enhance your skill set through appropriate research training.
To help you identify a topic and potential supervisor, we encourage you to find out more about our staff specialisms and read about the PhD projects undertaken by some of our recent postgraduate students. A list of example statistical projects currently offered is also available.
As a PhD student you will be supported by team supervision. You will also go through a research training analysis to identify any skills that you need to develop.
Attendance is flexible and agreed between you and your supervisors depending on the requirements of your research project.
Research areas
Our work breaks down into the following research groups: - Bayesian methodology for complex models
-
Big data scalability and computation
-
Biostatistics and stochastic systems biology
-
Spatial and environmental statistics
Research funding
We undertake projects funded by the Research Councils, major trusts, government departments and the EU. Since 2008, members of the School have been named on over £16m of research awards. Many of these awards were for large interdisciplinary projects, in which the School played a vital role, including: •a £5.5m Engineering and Physical Sciences Research Council grant to explore the potential of microorganisms to provide clean water •a £1.5m European Commission project to study eukaryotic genomic origins, parasites, and the essential nature of mitochondria •a £2.1m Medical Research Council funded project on ways to advance health and wellbeing in later life.
In total, £3.5m of funding was attributed to the School.
Facilities
We are located in the Herschel building which has well-equipped seminar and meeting rooms. You will have access to online research facilities via your own desktop PC in a shared postgraduate work space. There is also a teaching cluster (of about 150 PCs) within the School. Computing support is provided by two specialist technical staff who are expert in providing assistance with fast numerical and distributed processing.
As well as the library resources provided by the main Peter Robinson Library, you will have access to the School's mathematics and statistics library and reading room.
| Study type | Research |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | A 2:1 honours degree, or international equivalent, in: computing science International Students Direct Entry : IELTS 6.5 overall (with a minimum of 5.5 in all sub-skills) If you have lower English Language scores, you may be accepted onto a pre-sessional English course. Our typical English Language requirements are listed as IELTS scores but we also accept a wide range of English Language tests. The equivalent academic qualifications that we accept are listed on our country pages. |
| Location | Main Site (Newcastle) King's Gate Newcastle upon Tyne NE1 7RU |
Summary
We have a strong international reputation for making original contributions to Bayesian methodology, bioinformatics and biostatistics. We invite postgraduate research proposals in any of these three areas.
As a research postgraduate in the School of Mathematics, Statistics and Physics you will be supported by a team of experts in your chosen field. You will also have the opportunity to develop and enhance your skill set through appropriate research training.
To help you identify a topic and potential supervisor, we encourage you to find out more about our staff specialisms and read about the PhD projects undertaken by some of our recent postgraduate students. A list of example statistical projects currently offered is also available.
As a PhD student you will be supported by team supervision. You will also go through a research training analysis to identify any skills that you need to develop.
Attendance is flexible and agreed between you and your supervisors depending on the requirements of your research project.
Research areas
Our work breaks down into the following research groups: - Bayesian methodology for complex models
-
Big data scalability and computation
-
Biostatistics and stochastic systems biology
-
Spatial and environmental statistics
Research funding
We undertake projects funded by the Research Councils, major trusts, government departments and the EU. Since 2008, members of the School have been named on over £16m of research awards. Many of these awards were for large interdisciplinary projects, in which the School played a vital role, including: •a £5.5m Engineering and Physical Sciences Research Council grant to explore the potential of microorganisms to provide clean water •a £1.5m European Commission project to study eukaryotic genomic origins, parasites, and the essential nature of mitochondria •a £2.1m Medical Research Council funded project on ways to advance health and wellbeing in later life.
In total, £3.5m of funding was attributed to the School.
Facilities
We are located in the Herschel building which has well-equipped seminar and meeting rooms. You will have access to online research facilities via your own desktop PC in a shared postgraduate work space. There is also a teaching cluster (of about 150 PCs) within the School. Computing support is provided by two specialist technical staff who are expert in providing assistance with fast numerical and distributed processing.
As well as the library resources provided by the main Peter Robinson Library, you will have access to the School's mathematics and statistics library and reading room.
| Study type | Research |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | A 2:1 honours degree, or international equivalent, in: computing science International Students Direct Entry : IELTS 6.5 overall (with a minimum of 5.5 in all sub-skills) If you have lower English Language scores, you may be accepted onto a pre-sessional English course. Our typical English Language requirements are listed as IELTS scores but we also accept a wide range of English Language tests. The equivalent academic qualifications that we accept are listed on our country pages. |
| Location | Main Site (Newcastle) King's Gate Newcastle upon Tyne NE1 7RU |
Newcastle University
Newcastle University is a World Top 140 university (QS World University Rankings 2026) and founding member of the prestigious Russell Group of world-class, research-intensive UK universities.
Committed to excellence, innovation and creativity, it is pioneering solutions that can change the world. Through world-class research it tackles some of the biggest challenges facing society globally, leading in its key strengths of ageing and health, data, cities and place, culture and creative arts, and one planet. The UK’s Research Excellence Framework 2021 assessed its research as world-leading with outstanding impact.
Through high quality teaching it educates …
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