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Lancaster University: Statistics
| Institution | Lancaster University View institution profile |
|---|---|
| Department | School of Mathematical Sciences |
| 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.
You will work under individual supervision to contribute to research in a chosen area, while research training courses will support additional learning and personal development. You will also have the opportunity to work as a teaching assistant on our taught programmes; a valuable source of experience and income.
| 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.
You will work under individual supervision to contribute to research in a chosen area, while research training courses will support additional learning and personal development. You will also have the opportunity to work as a teaching assistant on our taught programmes; a valuable source of experience and income.
| 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 |
MSc
Summary
Taught by internationally recognised experts in the field, we believe that the best statistics start with a real-world challenge and end with a real-world solution. With a perfect blend of mathematical theory and practical application, you will develop an advanced understanding of statistical inference, gaining the modelling skills needed to solve scientific, industrial and social challenges. We provide many opportunities for you to gain practical experience in data analysis, coding algorithms, machine learning approaches and more.
Who is this programme for? If you’re looking to progress into higher-paid roles in the statistics or data analysis fields, a Master’s degree will equip you with the skills to access a wider job market.
Looking ahead to employability As researchers, we actively collaborate with external partners, ensuring that our research is relevant and useful. As your lecturers, we bring these experiences to the classroom to give you insights that cannot be obtained from a textbook. We understand that to navigate from the start to the finish of any real-world challenge requires mathematical theory, building algorithms, optimisation, computing, modelling, data analysis and communication. Whilst many programmes focus on either theory or application, we train you in a distinctive blend of both. We believe that this puts you in the best position to secure employment. We also develop your:
Confidence in your computing expertise through application to data analysis and manipulation, problem-solving and quantitative reasoning Critical thinking and statistical modelling skills through individual and group project work Communication and collaboration skills through oral and written exercises What to expect There are three phases to your learning. You will begin by developing and strengthening your core knowledge and skills in classical and modern statistical methods and inference. Topics covered include frequentist and Bayesian inference, data analysis, generalised linear models, statistical computing and communication.
In phase two you will choose three specialist optional modules from two themes:
-
Statistical foundations of AI – these modules provide training in the modern statistical algorithms, models and computing which sit at the interface of data science, AI and statistics.
-
Medical statistics – these modules equip you with the essential training required by the medical and pharmaceutical industries, although they have uses in other areas including social and environmental statistics.
Discover your theme's optional modules
In phase three you will complete your dissertation. Working under the guidance of an experienced statistical researcher, you will complete an extended project that is tailored to your interests. You might progress your understanding of a topic covered in a taught module, investigate a methodological topic not covered by one of the taught modules, or undertake an extended data analysis.
Three things we would like you to know Many of our graduates are now leaders in their fields, securing employment shortly after completing their MSc We maintain small class sizes, allowing you to get to know your lecturers, tutors and classmates Research produced by Lancaster statisticians has more real-world impact than any other UK mathematical sciences research (REF 2021)
| fst-pg-admissions@lancaster.ac.uk | |
| Telephone | 01524 593795 |
| Study type | Taught |
| Level | RQF Level 7 |
| Entry requirements | 2:2 Hons degree (UK or equivalent) in Mathematics or Statistics. We may also consider non-standard applications where you have studied a degree in other quantitative subjects that include courses in probability, statistics, linear algebra, and calculus. You should clearly be able to demonstrate how your skills have prepared you for relevant discussions and assessments during postgraduate study. 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
Taught by internationally recognised experts in the field, we believe that the best statistics start with a real-world challenge and end with a real-world solution. With a perfect blend of mathematical theory and practical application, you will develop an advanced understanding of statistical inference, gaining the modelling skills needed to solve scientific, industrial and social challenges. We provide many opportunities for you to gain practical experience in data analysis, coding algorithms, machine learning approaches and more.
Who is this programme for? If you’re looking to progress into higher-paid roles in the statistics or data analysis fields, a Master’s degree will equip you with the skills to access a wider job market.
Looking ahead to employability As researchers, we actively collaborate with external partners, ensuring that our research is relevant and useful. As your lecturers, we bring these experiences to the classroom to give you insights that cannot be obtained from a textbook. We understand that to navigate from the start to the finish of any real-world challenge requires mathematical theory, building algorithms, optimisation, computing, modelling, data analysis and communication. Whilst many programmes focus on either theory or application, we train you in a distinctive blend of both. We believe that this puts you in the best position to secure employment. We also develop your:
Confidence in your computing expertise through application to data analysis and manipulation, problem-solving and quantitative reasoning Critical thinking and statistical modelling skills through individual and group project work Communication and collaboration skills through oral and written exercises What to expect There are three phases to your learning. You will begin by developing and strengthening your core knowledge and skills in classical and modern statistical methods and inference. Topics covered include frequentist and Bayesian inference, data analysis, generalised linear models, statistical computing and communication.
In phase two you will choose three specialist optional modules from two themes:
-
Statistical foundations of AI – these modules provide training in the modern statistical algorithms, models and computing which sit at the interface of data science, AI and statistics.
-
Medical statistics – these modules equip you with the essential training required by the medical and pharmaceutical industries, although they have uses in other areas including social and environmental statistics.
Discover your theme's optional modules
In phase three you will complete your dissertation. Working under the guidance of an experienced statistical researcher, you will complete an extended project that is tailored to your interests. You might progress your understanding of a topic covered in a taught module, investigate a methodological topic not covered by one of the taught modules, or undertake an extended data analysis.
Three things we would like you to know Many of our graduates are now leaders in their fields, securing employment shortly after completing their MSc We maintain small class sizes, allowing you to get to know your lecturers, tutors and classmates Research produced by Lancaster statisticians has more real-world impact than any other UK mathematical sciences research (REF 2021)
| fst-pg-admissions@lancaster.ac.uk | |
| Telephone | 01524 593795 |
| Study type | Taught |
| Level | RQF Level 7 |
| Entry requirements | 2:2 Hons degree (UK or equivalent) in Mathematics or Statistics. We may also consider non-standard applications where you have studied a degree in other quantitative subjects that include courses in probability, statistics, linear algebra, and calculus. You should clearly be able to demonstrate how your skills have prepared you for relevant discussions and assessments during postgraduate study. 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 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 |
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) modules 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.
You will work under individual supervision to contribute to research in a chosen area, while research training courses will support additional learning and personal development. You will also have the opportunity to work as a teaching assistant on our taught programmes; a valuable source of experience and income.
| 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 |
Lancaster University is home to a dynamic postgraduate community and offers a wealth of both taught and research study options across a wide range of subject areas. Studying at Lancaster is all about broadening your horizons, finding new perspectives and discovering new experiences. By living and studying with students and staff from over 130 countries students join a global community and have the opportunity to make international connections.
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