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Lancaster University: Statistics
Institution | Lancaster University View institution profile |
---|---|
Department | Mathematics and Statistics |
Web | www.lancaster.ac.uk |
Doctor of Philosophy - PhD
Summary
We welcome applications from those seeking to undertake PhD research degrees.
The PhD in Statistics is a three-year programme aimed at those who have acquired substantial statistical knowledge and experiences and who are ready to embark an independent research project.
The Statistics Group is interested in the development of novel statistical models and methods motivated by applied problems, with particular emphasis on environmental, biomedical and social sciences. Methodological strengths include stochastic modelling and inference, computationally intensive methods, time series analysis, extreme value statistics, methods for the design and analysis of clinical trials, nonparametric regression, functional data analysis and statistical learning. There is a strong emphasis on the interface between theory and application, and the group has close research links with other University departments, hospitals, pharmaceutical companies and research institutes, both within the UK and overseas.
Students will work under individual supervision to contribute to research in a chosen area, while research training courses will support additional learning and personal development. Students will also have the opportunity to work as a teaching assistant on our taught programmes; a valuable source of experience and income.
We recommend that potential applicants visit our department website to read the latest information about our research interests, projects and funding opportunities.
fst-pg-admissions@lancaster.ac.uk | |
Telephone | 01524 593795 |
Study type | Research |
Level | RQF Level 8 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in Mathematics and Statistics or in a related subject where there is substantial mathematical and statistical components. It would also be desirable to have a Master’s Degree (MSc or MSci) in Statistics, Mathematics or Data Science or in related subjects that have substantial components in Mathematical or Statistical Theory/Methodology/Applications with experiences in scientific computing and writing. Typically, your degree is expected to have covered the following modules: Calculus, We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
We welcome applications from those seeking to undertake PhD research degrees.
The PhD in Statistics is a three-year programme aimed at those who have acquired substantial statistical knowledge and experiences and who are ready to embark an independent research project.
The Statistics Group is interested in the development of novel statistical models and methods motivated by applied problems, with particular emphasis on environmental, biomedical and social sciences. Methodological strengths include stochastic modelling and inference, computationally intensive methods, time series analysis, extreme value statistics, methods for the design and analysis of clinical trials, nonparametric regression, functional data analysis and statistical learning. There is a strong emphasis on the interface between theory and application, and the group has close research links with other University departments, hospitals, pharmaceutical companies and research institutes, both within the UK and overseas.
Students will work under individual supervision to contribute to research in a chosen area, while research training courses will support additional learning and personal development. Students will also have the opportunity to work as a teaching assistant on our taught programmes; a valuable source of experience and income.
We recommend that potential applicants visit our department website to read the latest information about our research interests, projects and funding opportunities.
fst-pg-admissions@lancaster.ac.uk | |
Telephone | 01524 593795 |
Study type | Research |
Level | RQF Level 8 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in Mathematics and Statistics or in a related subject where there is substantial mathematical and statistical components. It would also be desirable to have a Master’s Degree (MSc or MSci) in Statistics, Mathematics or Data Science or in related subjects that have substantial components in Mathematical or Statistical Theory/Methodology/Applications with experiences in scientific computing and writing. Typically, your degree is expected to have covered the following modules: Calculus, We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
We welcome applications from those seeking to undertake PhD research degrees.
The PhD in Statistics is a three-year programme aimed at those who have acquired substantial statistical knowledge and experiences and who are ready to embark an independent research project.
The Statistics Group is interested in the development of novel statistical models and methods motivated by applied problems, with particular emphasis on environmental, biomedical and social sciences. Methodological strengths include stochastic modelling and inference, computationally intensive methods, time series analysis, extreme value statistics, methods for the design and analysis of clinical trials, nonparametric regression, functional data analysis and statistical learning. There is a strong emphasis on the interface between theory and application, and the group has close research links with other University departments, hospitals, pharmaceutical companies and research institutes, both within the UK and overseas.
Students will work under individual supervision to contribute to research in a chosen area, while research training courses will support additional learning and personal development. Students will also have the opportunity to work as a teaching assistant on our taught programmes; a valuable source of experience and income.
We recommend that potential applicants visit our department website to read the latest information about our research interests, projects and funding opportunities.
fst-pg-admissions@lancaster.ac.uk | |
Telephone | 01524 593795 |
Study type | Research |
Level | RQF Level 8 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in Mathematics and Statistics or in a related subject where there is substantial mathematical and statistical components. It would also be desirable to have a Master’s Degree (MSc or MSci) in Statistics, Mathematics or Data Science or in related subjects that have substantial components in Mathematical or Statistical Theory/Methodology/Applications with experiences in scientific computing and writing. Typically, your degree is expected to have covered the following modules: Calculus, We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
We welcome applications from those seeking to undertake PhD research degrees.
The PhD in Statistics is a three-year programme aimed at those who have acquired substantial statistical knowledge and experiences and who are ready to embark an independent research project.
The Statistics Group is interested in the development of novel statistical models and methods motivated by applied problems, with particular emphasis on environmental, biomedical and social sciences. Methodological strengths include stochastic modelling and inference, computationally intensive methods, time series analysis, extreme value statistics, methods for the design and analysis of clinical trials, nonparametric regression, functional data analysis and statistical learning. There is a strong emphasis on the interface between theory and application, and the group has close research links with other University departments, hospitals, pharmaceutical companies and research institutes, both within the UK and overseas.
Students will work under individual supervision to contribute to research in a chosen area, while research training courses will support additional learning and personal development. Students will also have the opportunity to work as a teaching assistant on our taught programmes; a valuable source of experience and income.
We recommend that potential applicants visit our department website to read the latest information about our research interests, projects and funding opportunities.
fst-pg-admissions@lancaster.ac.uk | |
Telephone | 01524 593795 |
Study type | Research |
Level | RQF Level 8 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in Mathematics and Statistics or in a related subject where there is substantial mathematical and statistical components. It would also be desirable to have a Master’s Degree (MSc or MSci) in Statistics, Mathematics or Data Science or in related subjects that have substantial components in Mathematical or Statistical Theory/Methodology/Applications with experiences in scientific computing and writing. Typically, your degree is expected to have covered the following modules: Calculus, We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
We welcome applications from those seeking to undertake PhD research degrees.
The PhD in Statistics is a three-year programme aimed at those who have acquired substantial statistical knowledge and experiences and who are ready to embark an independent research project.
The Statistics Group is interested in the development of novel statistical models and methods motivated by applied problems, with particular emphasis on environmental, biomedical and social sciences. Methodological strengths include stochastic modelling and inference, computationally intensive methods, time series analysis, extreme value statistics, methods for the design and analysis of clinical trials, nonparametric regression, functional data analysis and statistical learning. There is a strong emphasis on the interface between theory and application, and the group has close research links with other University departments, hospitals, pharmaceutical companies and research institutes, both within the UK and overseas.
Students will work under individual supervision to contribute to research in a chosen area, while research training courses will support additional learning and personal development. Students will also have the opportunity to work as a teaching assistant on our taught programmes; a valuable source of experience and income.
We recommend that potential applicants visit our department website to read the latest information about our research interests, projects and funding opportunities.
fst-pg-admissions@lancaster.ac.uk | |
Telephone | 01524 593795 |
Study type | Research |
Level | RQF Level 8 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in Mathematics and Statistics or in a related subject where there is substantial mathematical and statistical components. It would also be desirable to have a Master’s Degree (MSc or MSci) in Statistics, Mathematics or Data Science or in related subjects that have substantial components in Mathematical or Statistical Theory/Methodology/Applications with experiences in scientific computing and writing. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
We welcome applications from those seeking to undertake PhD research degrees.
The PhD in Statistics is a three-year programme aimed at those who have acquired substantial statistical knowledge and experiences and who are ready to embark an independent research project.
The Statistics Group is interested in the development of novel statistical models and methods motivated by applied problems, with particular emphasis on environmental, biomedical and social sciences. Methodological strengths include stochastic modelling and inference, computationally intensive methods, time series analysis, extreme value statistics, methods for the design and analysis of clinical trials, nonparametric regression, functional data analysis and statistical learning. There is a strong emphasis on the interface between theory and application, and the group has close research links with other University departments, hospitals, pharmaceutical companies and research institutes, both within the UK and overseas.
Students will work under individual supervision to contribute to research in a chosen area, while research training courses will support additional learning and personal development. Students will also have the opportunity to work as a teaching assistant on our taught programmes; a valuable source of experience and income.
We recommend that potential applicants visit our department website to read the latest information about our research interests, projects and funding opportunities.
fst-pg-admissions@lancaster.ac.uk | |
Telephone | 01524 593795 |
Study type | Research |
Level | RQF Level 8 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in Mathematics and Statistics or in a related subject where there is substantial mathematical and statistical components. It would also be desirable to have a Master’s Degree (MSc or MSci) in Statistics, Mathematics or Data Science or in related subjects that have substantial components in Mathematical or Statistical Theory/Methodology/Applications with experiences in scientific computing and writing. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
MSc
Summary
Data analysis and statistical models support many aspects of the modern world, from science and technology to finance and business. They allow us to overcome medical, scientific, industrial and social problems and a Master's-level understanding of them is beneficial in many careers.
Our Royal Statistical Society (RSS) accredited Master's programme combines a blend of theoretical study with real-world application. Over the year, you will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills. Upon graduating, you will be ideally placed to pursue a career as a statistician, confident that you can apply your analytical and programming skills in a diverse range of applications.
A carefully structured approach will enable you to develop and strengthen your essential core skills in both classical and modern statistical methods and inference before progressing to the more advanced and specialist modules. The specialist modules cover a diverse range of statistical topics reflecting both areas of Departmental research expertise and the requirements of leading employers of statisticians. You will be supported in selecting those specialist modules that best reflect your own interests and career aspirations. Students interested in careers in medical statistics can follow a medical pathway consisting of modules in Clinical Trials, Principles of Epidemiology, Multilevel and Longitudinal Data Analysis and Survival and Event History Analysis.
Alongside the technical modules, you will undertake a module to advance key transferable skills in programming and communications. Programming, and the confident use of statistical software, enables the analysis of large and complex data sets, whilst communication is an essential skill for all statisticians, who must be able to engage in dialogue with members of the project team, stakeholders and end-users. You will be based within the Department of Mathematics and Statistics where you will have access to specialist software and equipment. You will have the opportunity to engage with academic staff members, all of whom are active statistical researchers, and to participate in departmental research colloquia and seminars should you choose to do so.
Finally, over the course of three months, you will complete a Master's-level dissertation. A statistical researcher, who will guide and support you throughout the period, will supervise this independent project. They will advise on the direction of the project, as well as contributing guidance on technical aspects of modelling, interpretation of analysis and presentation of the final report. Undertaking this dissertation will allow you to bring together and put into practice the discipline specific skills, knowledge and experience you have gained throughout the year. This will take your understanding of advanced statistics beyond classroom learning allow you to develop a working understanding of statistical methodology and build your confidence in working independently and leading the statistical direction of a project. This experience will be invaluable as you progress into a career.
**PGDip**
Our PGDip in Statistics follows the same taught course structure as our Royal Statistical Society (RSS) accredited master's programme, but without the dissertation component that comprises the final part of the master's year. As with the master's programme, the PGDip combines a blend of theoretical study with real-world application. You will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills.
fst-pg-admissions@lancaster.ac.uk | |
Telephone | 01524 593795 |
Study type | Taught |
Level | RQF Level 7 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in a subject with a strong mathematics or statistics component. We may also consider non-standard applicants, please contact us for information. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
Data analysis and statistical models support many aspects of the modern world, from science and technology to finance and business. They allow us to overcome medical, scientific, industrial and social problems and a Master's-level understanding of them is beneficial in many careers.
Our Royal Statistical Society (RSS) accredited Master's programme combines a blend of theoretical study with real-world application. Over the year, you will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills. Upon graduating, you will be ideally placed to pursue a career as a statistician, confident that you can apply your analytical and programming skills in a diverse range of applications.
A carefully structured approach will enable you to develop and strengthen your essential core skills in both classical and modern statistical methods and inference before progressing to the more advanced and specialist modules. The specialist modules cover a diverse range of statistical topics reflecting both areas of Departmental research expertise and the requirements of leading employers of statisticians. You will be supported in selecting those specialist modules that best reflect your own interests and career aspirations. Students interested in careers in medical statistics can follow a medical pathway consisting of modules in Clinical Trials, Principles of Epidemiology, Multilevel and Longitudinal Data Analysis and Survival and Event History Analysis.
Alongside the technical modules, you will undertake a module to advance key transferable skills in programming and communications. Programming, and the confident use of statistical software, enables the analysis of large and complex data sets, whilst communication is an essential skill for all statisticians, who must be able to engage in dialogue with members of the project team, stakeholders and end-users. You will be based within the Department of Mathematics and Statistics where you will have access to specialist software and equipment. You will have the opportunity to engage with academic staff members, all of whom are active statistical researchers, and to participate in departmental research colloquia and seminars should you choose to do so.
Finally, over the course of three months, you will complete a Master's-level dissertation. A statistical researcher, who will guide and support you throughout the period, will supervise this independent project. They will advise on the direction of the project, as well as contributing guidance on technical aspects of modelling, interpretation of analysis and presentation of the final report. Undertaking this dissertation will allow you to bring together and put into practice the discipline specific skills, knowledge and experience you have gained throughout the year. This will take your understanding of advanced statistics beyond classroom learning allow you to develop a working understanding of statistical methodology and build your confidence in working independently and leading the statistical direction of a project. This experience will be invaluable as you progress into a career.
**PGDip**
Our PGDip in Statistics follows the same taught course structure as our Royal Statistical Society (RSS) accredited master's programme, but without the dissertation component that comprises the final part of the master's year. As with the master's programme, the PGDip combines a blend of theoretical study with real-world application. You will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills.
fst-pg-admissions@lancaster.ac.uk | |
Telephone | 01524 593795 |
Study type | Taught |
Level | RQF Level 7 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in a subject with a strong mathematics or statistics component. We may also consider non-standard applicants, please contact us for information. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
Data analysis and statistical models support many aspects of the modern world, from science and technology to finance and business. They allow us to overcome scientific, industrial and social problems and a Masters-level understanding of them is beneficial in many careers.
Our Royal Statistical Society (RSS) accredited Masters programme combines a blend of theoretical study with real-world application. Over the year, you will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills. Upon graduating, you will be ideally placed to pursue a career as a statistician, confident that you can apply your analytical and programming skills in a diverse range of applications.
A carefully structured approach will enable you to develop and strengthen your essential core skills in both classical and modern statistical methods and inference before progressing to the more advanced and specialist modules. The specialist modules cover a diverse range of statistical topics reflecting both areas of Departmental research expertise and the requirements of leading employers of statisticians. You will be supported in selecting those specialist modules that best reflect your own interests and career aspirations.
Alongside the technical modules, you will undertake a module to advance key transferable skills in programming and communications. Programming, and the confident use of statistical software, enables the analysis of large and complex data sets, whilst communication is an essential skill for all statisticians, who must be able to engage in dialogue with members of the project team, stakeholders and end-users. You will be based within the Department of Mathematics and Statistics where you will have access to specialist software and equipment. You will have the opportunity to engage with academic staff members, all of whom are active statistical researchers, and to participate in departmental research colloquia and seminars should you choose to do so.
Finally, over the course of three months, you will complete a Masters-level dissertation. A statistical researcher, who will guide and support you throughout the period, will supervise this independent project. They will advise on the direction of the project, as well as contributing guidance on technical aspects of modelling, interpretation of analysis and presentation of the final report. Undertaking this dissertation will allow you to bring together and put into practice the discipline specific skills, knowledge and experience you have gained throughout the year. This will take your understanding of advanced statistics beyond classroom learning allow you to develop a working understanding of statistical methodology and build your confidence in working independently and leading the statistical direction of a project. This experience will be invaluable as you progress into a career.
Our PGDip in Statistics follows the same taught course structure as our Royal Statistical Society (RSS) accredited Masters programme, but without the dissertation component that comprises the final part of the Masters year. As with the Masters programme, the PGDip combines a blend of theoretical study with real-world application. You will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills.
fst-pg-admissions@lancaster.ac.uk | |
Telephone | 01524 593795 |
Study type | Taught |
Level | RQF Level 7 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in a subject with a strong mathematics or statistics component. We may also consider non-standard applicants, please contact us for information. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
Data analysis and statistical models support many aspects of the modern world, from science and technology to finance and business. They allow us to overcome scientific, industrial and social problems and a Masters-level understanding of them is beneficial in many careers.
Our Royal Statistical Society (RSS) accredited Masters programme combines a blend of theoretical study with real-world application. Over the year, you will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills. Upon graduating, you will be ideally placed to pursue a career as a statistician, confident that you can apply your analytical and programming skills in a diverse range of applications.
A carefully structured approach will enable you to develop and strengthen your essential core skills in both classical and modern statistical methods and inference before progressing to the more advanced and specialist modules. The specialist modules cover a diverse range of statistical topics reflecting both areas of Departmental research expertise and the requirements of leading employers of statisticians. You will be supported in selecting those specialist modules that best reflect your own interests and career aspirations.
Alongside the technical modules, you will undertake a module to advance key transferable skills in programming and communications. Programming, and the confident use of statistical software, enables the analysis of large and complex data sets, whilst communication is an essential skill for all statisticians, who must be able to engage in dialogue with members of the project team, stakeholders and end-users. You will be based within the Department of Mathematics and Statistics where you will have access to specialist software and equipment. You will have the opportunity to engage with academic staff members, all of whom are active statistical researchers, and to participate in departmental research colloquia and seminars should you choose to do so.
Finally, over the course of three months, you will complete a Masters-level dissertation. A statistical researcher, who will guide and support you throughout the period, will supervise this independent project. They will advise on the direction of the project, as well as contributing guidance on technical aspects of modelling, interpretation of analysis and presentation of the final report. Undertaking this dissertation will allow you to bring together and put into practice the discipline specific skills, knowledge and experience you have gained throughout the year. This will take your understanding of advanced statistics beyond classroom learning allow you to develop a working understanding of statistical methodology and build your confidence in working independently and leading the statistical direction of a project. This experience will be invaluable as you progress into a career.
Our PGDip in Statistics follows the same taught course structure as our Royal Statistical Society (RSS) accredited Masters programme, but without the dissertation component that comprises the final part of the Masters year. As with the Masters programme, the PGDip combines a blend of theoretical study with real-world application. You will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills.
fst-pg-admissions@lancaster.ac.uk | |
Telephone | 01524 593795 |
Study type | Taught |
Level | RQF Level 7 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in a subject with a strong mathematics or statistics component. We may also consider non-standard applicants, please contact us for information. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
Data analysis and statistical models support many aspects of the modern world, from science and technology to finance and business. They allow us to overcome scientific, industrial and social problems and a Masters-level understanding of them is beneficial in many careers.
Our Royal Statistical Society (RSS) accredited Masters programme combines a blend of theoretical study with real-world application. Over the year, you will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills. Upon graduating, you will be ideally placed to pursue a career as a statistician, confident that you can apply your analytical and programming skills in a diverse range of applications.
A carefully structured approach will enable you to develop and strengthen your essential core skills in both classical and modern statistical methods and inference before progressing to the more advanced and specialist modules. The specialist modules cover a diverse range of statistical topics reflecting both areas of Departmental research expertise and the requirements of leading employers of statisticians. You will be supported in selecting those specialist modules that best reflect your own interests and career aspirations.
Alongside the technical modules, you will undertake a module to advance key transferable skills in programming and communications. Programming, and the confident use of statistical software, enables the analysis of large and complex data sets, whilst communication is an essential skill for all statisticians, who must be able to engage in dialogue with members of the project team, stakeholders and end-users. You will be based within the Department of Mathematics and Statistics where you will have access to specialist software and equipment. You will have the opportunity to engage with academic staff members, all of whom are active statistical researchers, and to participate in departmental research colloquia and seminars should you choose to do so.
Finally, over the course of three months, you will complete a Masters-level dissertation. A statistical researcher, who will guide and support you throughout the period, will supervise this independent project. They will advise on the direction of the project, as well as contributing guidance on technical aspects of modelling, interpretation of analysis and presentation of the final report. Undertaking this dissertation will allow you to bring together and put into practice the discipline specific skills, knowledge and experience you have gained throughout the year. This will take your understanding of advanced statistics beyond classroom learning allow you to develop a working understanding of statistical methodology and build your confidence in working independently and leading the statistical direction of a project. This experience will be invaluable as you progress into a career.
fst-pg-admissions@lancaster.ac.uk | |
Telephone | 01524 593795 |
Study type | Taught |
Level | RQF Level 7 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in a subject with a strong mathematics or statistics component. We may also consider non-standard applicants, please contact us for information. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
Data analysis and statistical models support many aspects of the modern world, from science and technology to finance and business. They allow us to overcome scientific, industrial and social problems and a Masters-level understanding of them is beneficial in many careers.
Our Royal Statistical Society (RSS) accredited Masters programme combines a blend of theoretical study with real-world application. Over the year, you will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills. Upon graduating, you will be ideally placed to pursue a career as a statistician, confident that you can apply your analytical and programming skills in a diverse range of applications.
A carefully structured approach will enable you to develop and strengthen your essential core skills in both classical and modern statistical methods and inference before progressing to the more advanced and specialist modules. The specialist modules cover a diverse range of statistical topics reflecting both areas of Departmental research expertise and the requirements of leading employers of statisticians. You will be supported in selecting those specialist modules that best reflect your own interests and career aspirations.
Alongside the technical modules, you will undertake a module to advance key transferable skills in programming and communications. Programming, and the confident use of statistical software, enables the analysis of large and complex data sets, whilst communication is an essential skill for all statisticians, who must be able to engage in dialogue with members of the project team, stakeholders and end-users. You will be based within the Department of Mathematics and Statistics where you will have access to specialist software and equipment. You will have the opportunity to engage with academic staff members, all of whom are active statistical researchers, and to participate in departmental research colloquia and seminars should you choose to do so.
Finally, over the course of three months, you will complete a Masters-level dissertation. A statistical researcher, who will guide and support you throughout the period, will supervise this independent project. They will advise on the direction of the project, as well as contributing guidance on technical aspects of modelling, interpretation of analysis and presentation of the final report. Undertaking this dissertation will allow you to bring together and put into practice the discipline specific skills, knowledge and experience you have gained throughout the year. This will take your understanding of advanced statistics beyond classroom learning allow you to develop a working understanding of statistical methodology and build your confidence in working independently and leading the statistical direction of a project. This experience will be invaluable as you progress into a career.
fst-pg-admissions@lancaster.ac.uk | |
Telephone | 01524 593795 |
Study type | Taught |
Level | RQF Level 7 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in a subject with a strong mathematics or statistics component. We may also consider non-standard applicants, please contact us for information. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
PhD with Integrated Study
Summary
We welcome applications from those seeking to undertake PhD research degrees.
The Integrated PhD in Statistics is aimed at those who have the academic potential to do a PhD in Statistics but lack the necessary statistical background to be normally considered for a PhD. This is a four-year PhD programme which involves successful completion of postgraduate level (MSc) courses and a dissertation during the first year before progressing onto the PhD.
The Statistics Group is interested in the development of novel statistical models and methods motivated by applied problems, with particular emphasis on environmental, biomedical and social sciences. Methodological strengths include stochastic modelling and inference, computationally intensive methods, time series analysis, extreme value statistics, methods for the design and analysis of clinical trials, nonparametric regression, functional data analysis and statistical learning. There is a strong emphasis on the interface between theory and application, and the group has close research links with other University departments, hospitals, pharmaceutical companies and research institutes, both within the UK and overseas.
Students will work under individual supervision to contribute to research in a chosen area, while research training courses will support additional learning and personal development. Students will also have the opportunity to work as a teaching assistant on our taught programmes; a valuable source of experience and income.
We recommend that potential applicants visit our department website to read the latest information about our research interests, projects and funding opportunities.
pgadmissions@lancaster.ac.uk | |
Telephone | +44 (0)1524 592032 |
Study type | Research |
Level | RQF Level 8 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in Mathematics and Statistics or in a related subject where there is substantial mathematical and statistical components We may also consider non-standard applicants, please contact us for information. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. If your score is below our requirements, you may be eligible for one of our pre-sessional English language programmes. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
We welcome applications from those seeking to undertake PhD research degrees.
The Integrated PhD in Statistics is aimed at those who have the academic potential to do a PhD in Statistics but lack the necessary statistical background to be normally considered for a PhD. This is a four-year PhD programme which involves successful completion of postgraduate level (MSc) courses and a dissertation during the first year before progressing onto the PhD.
The Statistics Group is interested in the development of novel statistical models and methods motivated by applied problems, with particular emphasis on environmental, biomedical and social sciences. Methodological strengths include stochastic modelling and inference, computationally intensive methods, time series analysis, extreme value statistics, methods for the design and analysis of clinical trials, nonparametric regression, functional data analysis and statistical learning. There is a strong emphasis on the interface between theory and application, and the group has close research links with other University departments, hospitals, pharmaceutical companies and research institutes, both within the UK and overseas.
Students will work under individual supervision to contribute to research in a chosen area, while research training courses will support additional learning and personal development. Students will also have the opportunity to work as a teaching assistant on our taught programmes; a valuable source of experience and income.
We recommend that potential applicants visit our department website to read the latest information about our research interests, projects and funding opportunities.
pgadmissions@lancaster.ac.uk | |
Telephone | +44 (0)1524 592032 |
Study type | Research |
Level | RQF Level 8 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in Mathematics and Statistics or in a related subject where there is substantial mathematical and statistical components We may also consider non-standard applicants, please contact us for information. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. If your score is below our requirements, you may be eligible for one of our pre-sessional English language programmes. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Postgraduate Diploma - PgDip
Summary
Data analysis and statistical models support many aspects of the modern world, from science and technology to finance and business. They allow us to overcome medical, scientific, industrial and social problems and a Master's-level understanding of them is beneficial in many careers.
Our Royal Statistical Society (RSS) accredited Master's programme combines a blend of theoretical study with real-world application. Over the year, you will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills. Upon graduating, you will be ideally placed to pursue a career as a statistician, confident that you can apply your analytical and programming skills in a diverse range of applications.
A carefully structured approach will enable you to develop and strengthen your essential core skills in both classical and modern statistical methods and inference before progressing to the more advanced and specialist modules. The specialist modules cover a diverse range of statistical topics reflecting both areas of Departmental research expertise and the requirements of leading employers of statisticians. You will be supported in selecting those specialist modules that best reflect your own interests and career aspirations. Students interested in careers in medical statistics can follow a medical pathway consisting of modules in Clinical Trials, Principles of Epidemiology, Multilevel and Longitudinal Data Analysis and Survival and Event History Analysis.
Alongside the technical modules, you will undertake a module to advance key transferable skills in programming and communications. Programming, and the confident use of statistical software, enables the analysis of large and complex data sets, whilst communication is an essential skill for all statisticians, who must be able to engage in dialogue with members of the project team, stakeholders and end-users. You will be based within the Department of Mathematics and Statistics where you will have access to specialist software and equipment. You will have the opportunity to engage with academic staff members, all of whom are active statistical researchers, and to participate in departmental research colloquia and seminars should you choose to do so.
Finally, over the course of three months, you will complete a Master's-level dissertation. A statistical researcher, who will guide and support you throughout the period, will supervise this independent project. They will advise on the direction of the project, as well as contributing guidance on technical aspects of modelling, interpretation of analysis and presentation of the final report. Undertaking this dissertation will allow you to bring together and put into practice the discipline specific skills, knowledge and experience you have gained throughout the year. This will take your understanding of advanced statistics beyond classroom learning allow you to develop a working understanding of statistical methodology and build your confidence in working independently and leading the statistical direction of a project. This experience will be invaluable as you progress into a career.
**PGDip**
Our PGDip in Statistics follows the same taught course structure as our Royal Statistical Society (RSS) accredited master's programme, but without the dissertation component that comprises the final part of the master's year. As with the master's programme, the PGDip combines a blend of theoretical study with real-world application. You will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills.
fst-pg-admissions@lancaster.ac.uk | |
Telephone | 01524 593795 |
Study type | Taught |
Level | RQF Level 7 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in a subject with a strong mathematics or statistics component. We may also consider non-standard applicants, please contact us for information. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
Data analysis and statistical models support many aspects of the modern world, from science and technology to finance and business. They allow us to overcome medical, scientific, industrial and social problems and a Master's-level understanding of them is beneficial in many careers.
Our Royal Statistical Society (RSS) accredited Master's programme combines a blend of theoretical study with real-world application. Over the year, you will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills. Upon graduating, you will be ideally placed to pursue a career as a statistician, confident that you can apply your analytical and programming skills in a diverse range of applications.
A carefully structured approach will enable you to develop and strengthen your essential core skills in both classical and modern statistical methods and inference before progressing to the more advanced and specialist modules. The specialist modules cover a diverse range of statistical topics reflecting both areas of Departmental research expertise and the requirements of leading employers of statisticians. You will be supported in selecting those specialist modules that best reflect your own interests and career aspirations. Students interested in careers in medical statistics can follow a medical pathway consisting of modules in Clinical Trials, Principles of Epidemiology, Multilevel and Longitudinal Data Analysis and Survival and Event History Analysis.
Alongside the technical modules, you will undertake a module to advance key transferable skills in programming and communications. Programming, and the confident use of statistical software, enables the analysis of large and complex data sets, whilst communication is an essential skill for all statisticians, who must be able to engage in dialogue with members of the project team, stakeholders and end-users. You will be based within the Department of Mathematics and Statistics where you will have access to specialist software and equipment. You will have the opportunity to engage with academic staff members, all of whom are active statistical researchers, and to participate in departmental research colloquia and seminars should you choose to do so.
Finally, over the course of three months, you will complete a Master's-level dissertation. A statistical researcher, who will guide and support you throughout the period, will supervise this independent project. They will advise on the direction of the project, as well as contributing guidance on technical aspects of modelling, interpretation of analysis and presentation of the final report. Undertaking this dissertation will allow you to bring together and put into practice the discipline specific skills, knowledge and experience you have gained throughout the year. This will take your understanding of advanced statistics beyond classroom learning allow you to develop a working understanding of statistical methodology and build your confidence in working independently and leading the statistical direction of a project. This experience will be invaluable as you progress into a career.
**PGDip**
Our PGDip in Statistics follows the same taught course structure as our Royal Statistical Society (RSS) accredited master's programme, but without the dissertation component that comprises the final part of the master's year. As with the master's programme, the PGDip combines a blend of theoretical study with real-world application. You will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills.
fst-pg-admissions@lancaster.ac.uk | |
Telephone | 01524 593795 |
Study type | Taught |
Level | RQF Level 7 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in a subject with a strong mathematics or statistics component. We may also consider non-standard applicants, please contact us for information. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
Data analysis and statistical models support many aspects of the modern world, from science and technology to finance and business. They allow us to overcome scientific, industrial and social problems and a Masters-level understanding of them is beneficial in many careers.
Our Royal Statistical Society (RSS) accredited Masters programme combines a blend of theoretical study with real-world application. Over the year, you will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills. Upon graduating, you will be ideally placed to pursue a career as a statistician, confident that you can apply your analytical and programming skills in a diverse range of applications.
A carefully structured approach will enable you to develop and strengthen your essential core skills in both classical and modern statistical methods and inference before progressing to the more advanced and specialist modules. The specialist modules cover a diverse range of statistical topics reflecting both areas of Departmental research expertise and the requirements of leading employers of statisticians. You will be supported in selecting those specialist modules that best reflect your own interests and career aspirations.
Alongside the technical modules, you will undertake a module to advance key transferable skills in programming and communications. Programming, and the confident use of statistical software, enables the analysis of large and complex data sets, whilst communication is an essential skill for all statisticians, who must be able to engage in dialogue with members of the project team, stakeholders and end-users. You will be based within the Department of Mathematics and Statistics where you will have access to specialist software and equipment. You will have the opportunity to engage with academic staff members, all of whom are active statistical researchers, and to participate in departmental research colloquia and seminars should you choose to do so.
Finally, over the course of three months, you will complete a Masters-level dissertation. A statistical researcher, who will guide and support you throughout the period, will supervise this independent project. They will advise on the direction of the project, as well as contributing guidance on technical aspects of modelling, interpretation of analysis and presentation of the final report. Undertaking this dissertation will allow you to bring together and put into practice the discipline specific skills, knowledge and experience you have gained throughout the year. This will take your understanding of advanced statistics beyond classroom learning allow you to develop a working understanding of statistical methodology and build your confidence in working independently and leading the statistical direction of a project. This experience will be invaluable as you progress into a career.
Our PGDip in Statistics follows the same taught course structure as our Royal Statistical Society (RSS) accredited Masters programme, but without the dissertation component that comprises the final part of the Masters year. As with the Masters programme, the PGDip combines a blend of theoretical study with real-world application. You will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills.
fst-pg-admissions@lancaster.ac.uk | |
Telephone | 01524 593795 |
Study type | Taught |
Level | RQF Level 7 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in a subject with a strong mathematics or statistics component. We may also consider non-standard applicants, please contact us for information. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
Data analysis and statistical models support many aspects of the modern world, from science and technology to finance and business. They allow us to overcome scientific, industrial and social problems and a Masters-level understanding of them is beneficial in many careers.
Our Royal Statistical Society (RSS) accredited Masters programme combines a blend of theoretical study with real-world application. Over the year, you will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills. Upon graduating, you will be ideally placed to pursue a career as a statistician, confident that you can apply your analytical and programming skills in a diverse range of applications.
A carefully structured approach will enable you to develop and strengthen your essential core skills in both classical and modern statistical methods and inference before progressing to the more advanced and specialist modules. The specialist modules cover a diverse range of statistical topics reflecting both areas of Departmental research expertise and the requirements of leading employers of statisticians. You will be supported in selecting those specialist modules that best reflect your own interests and career aspirations.
Alongside the technical modules, you will undertake a module to advance key transferable skills in programming and communications. Programming, and the confident use of statistical software, enables the analysis of large and complex data sets, whilst communication is an essential skill for all statisticians, who must be able to engage in dialogue with members of the project team, stakeholders and end-users. You will be based within the Department of Mathematics and Statistics where you will have access to specialist software and equipment. You will have the opportunity to engage with academic staff members, all of whom are active statistical researchers, and to participate in departmental research colloquia and seminars should you choose to do so.
Finally, over the course of three months, you will complete a Masters-level dissertation. A statistical researcher, who will guide and support you throughout the period, will supervise this independent project. They will advise on the direction of the project, as well as contributing guidance on technical aspects of modelling, interpretation of analysis and presentation of the final report. Undertaking this dissertation will allow you to bring together and put into practice the discipline specific skills, knowledge and experience you have gained throughout the year. This will take your understanding of advanced statistics beyond classroom learning allow you to develop a working understanding of statistical methodology and build your confidence in working independently and leading the statistical direction of a project. This experience will be invaluable as you progress into a career.
Our PGDip in Statistics follows the same taught course structure as our Royal Statistical Society (RSS) accredited Masters programme, but without the dissertation component that comprises the final part of the Masters year. As with the Masters programme, the PGDip combines a blend of theoretical study with real-world application. You will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills.
fst-pg-admissions@lancaster.ac.uk | |
Telephone | 01524 593795 |
Study type | Taught |
Level | RQF Level 7 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in a subject with a strong mathematics or statistics component. We may also consider non-standard applicants, please contact us for information. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
Data analysis and statistical models support many aspects of the modern world, from science and technology to finance and business. They allow us to overcome scientific, industrial and social problems and a Masters-level understanding of them is beneficial in many careers.
Our Royal Statistical Society (RSS) accredited Masters programme combines a blend of theoretical study with real-world application. Over the year, you will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills. Upon graduating, you will be ideally placed to pursue a career as a statistician, confident that you can apply your analytical and programming skills in a diverse range of applications.
A carefully structured approach will enable you to develop and strengthen your essential core skills in both classical and modern statistical methods and inference before progressing to the more advanced and specialist modules. The specialist modules cover a diverse range of statistical topics reflecting both areas of Departmental research expertise and the requirements of leading employers of statisticians. You will be supported in selecting those specialist modules that best reflect your own interests and career aspirations.
Alongside the technical modules, you will undertake a module to advance key transferable skills in programming and communications. Programming, and the confident use of statistical software, enables the analysis of large and complex data sets, whilst communication is an essential skill for all statisticians, who must be able to engage in dialogue with members of the project team, stakeholders and end-users. You will be based within the Department of Mathematics and Statistics where you will have access to specialist software and equipment. You will have the opportunity to engage with academic staff members, all of whom are active statistical researchers, and to participate in departmental research colloquia and seminars should you choose to do so.
Finally, over the course of three months, you will complete a Masters-level dissertation. A statistical researcher, who will guide and support you throughout the period, will supervise this independent project. They will advise on the direction of the project, as well as contributing guidance on technical aspects of modelling, interpretation of analysis and presentation of the final report. Undertaking this dissertation will allow you to bring together and put into practice the discipline specific skills, knowledge and experience you have gained throughout the year. This will take your understanding of advanced statistics beyond classroom learning allow you to develop a working understanding of statistical methodology and build your confidence in working independently and leading the statistical direction of a project. This experience will be invaluable as you progress into a career.
fst-pg-admissions@lancaster.ac.uk | |
Telephone | 01524 593795 |
Study type | Taught |
Level | RQF Level 7 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in a subject with a strong mathematics or statistics component. We may also consider non-standard applicants, please contact us for information. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
Data analysis and statistical models support many aspects of the modern world, from science and technology to finance and business. They allow us to overcome scientific, industrial and social problems and a Masters-level understanding of them is beneficial in many careers.
Our Royal Statistical Society (RSS) accredited Masters programme combines a blend of theoretical study with real-world application. Over the year, you will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills. Upon graduating, you will be ideally placed to pursue a career as a statistician, confident that you can apply your analytical and programming skills in a diverse range of applications.
A carefully structured approach will enable you to develop and strengthen your essential core skills in both classical and modern statistical methods and inference before progressing to the more advanced and specialist modules. The specialist modules cover a diverse range of statistical topics reflecting both areas of Departmental research expertise and the requirements of leading employers of statisticians. You will be supported in selecting those specialist modules that best reflect your own interests and career aspirations.
Alongside the technical modules, you will undertake a module to advance key transferable skills in programming and communications. Programming, and the confident use of statistical software, enables the analysis of large and complex data sets, whilst communication is an essential skill for all statisticians, who must be able to engage in dialogue with members of the project team, stakeholders and end-users. You will be based within the Department of Mathematics and Statistics where you will have access to specialist software and equipment. You will have the opportunity to engage with academic staff members, all of whom are active statistical researchers, and to participate in departmental research colloquia and seminars should you choose to do so.
Finally, over the course of three months, you will complete a Masters-level dissertation. A statistical researcher, who will guide and support you throughout the period, will supervise this independent project. They will advise on the direction of the project, as well as contributing guidance on technical aspects of modelling, interpretation of analysis and presentation of the final report. Undertaking this dissertation will allow you to bring together and put into practice the discipline specific skills, knowledge and experience you have gained throughout the year. This will take your understanding of advanced statistics beyond classroom learning allow you to develop a working understanding of statistical methodology and build your confidence in working independently and leading the statistical direction of a project. This experience will be invaluable as you progress into a career.
fst-pg-admissions@lancaster.ac.uk | |
Telephone | 01524 593795 |
Study type | Taught |
Level | RQF Level 7 |
Entry requirements | 2:1 Hons degree (UK or equivalent) in a subject with a strong mathematics or statistics component. We may also consider non-standard applicants, please contact us for information. |
Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
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