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Swansea University: Health Data Science
| Institution | Swansea University View institution profile |
|---|---|
| Department | Medicine View department profile |
| Web | www.swansea.ac.uk/postgraduate |
| study@swansea.ac.uk | |
| Telephone | +44 (0)1792 295358 |
| Study type | Taught |
MSc
Summary
Our MSc in Health Data Science is an interdisciplinary programme that is designed to prepare you for the constantly evolving landscape of data-driven health care.
The programme is based on a research and practice-driven approach, which enables you to engage with real health data. This approach helps you learn how to solve complex computational and analytical health-related problems that are relevant to healthcare, epidemiology and biomedical research.
The curriculum is designed to bridge disciplines, and reflect the collaborative nature of health data science itself, with content covering statistical modelling, machine learning, and data analysis and management.
From early in the programme, you will work with tools and technologies used in the field, such as R, SQL and Python; developing your computational literacy alongside your knowledge of clinical, health-related data. The projects you will engage with are highly practical, and reflect real-world challenges, ranging from data handling to predictive modelling in clinical settings.
This MSc is designed to support a diverse group of graduates and professionals with backgrounds and expertise in quantitative sciences. It is particularly suitable for computer science, statistics, physics, maths or biosciences graduates, who are moving into, or looking to apply their skills in a health-related profession. It is also an ideal option for healthcare professionals interested in improving their data-related skills, to get to the next stage of their career or apply for their first job in this field.
While prior experience in statistical programming is helpful, it is not essential. You should either possess foundational knowledge or be motivated to develop these skills as part of the programme.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | For detailed entry requirements, please refer to our website: https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science-msc-pgdip-pgcert/ |
| Location | Singleton Park Campus Singleton Park Swansea SA2 8PP |
Summary
Our MSc in Health Data Science is an interdisciplinary programme that is designed to prepare you for the constantly evolving landscape of data-driven health care.
The programme is based on a research and practice-driven approach, which enables you to engage with real health data. This approach helps you learn how to solve complex computational and analytical health-related problems that are relevant to healthcare, epidemiology and biomedical research.
The curriculum is designed to bridge disciplines, and reflect the collaborative nature of health data science itself, with content covering statistical modelling, machine learning, and data analysis and management.
From early in the programme, you will work with tools and technologies used in the field, such as R, SQL and Python; developing your computational literacy alongside your knowledge of clinical, health-related data. The projects you will engage with are highly practical, and reflect real-world challenges, ranging from data handling to predictive modelling in clinical settings.
This MSc is designed to support a diverse group of graduates and professionals with backgrounds and expertise in quantitative sciences. It is particularly suitable for computer science, statistics, physics, maths or biosciences graduates, who are moving into, or looking to apply their skills in a health-related profession. It is also an ideal option for healthcare professionals interested in improving their data-related skills, to get to the next stage of their career or apply for their first job in this field.
While prior experience in statistical programming is helpful, it is not essential. You should either possess foundational knowledge or be motivated to develop these skills as part of the programme.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | For detailed entry requirements, please refer to our website: https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science-msc-pgdip-pgcert/ |
| Location | Singleton Park Campus Singleton Park Swansea SA2 8PP |
Summary
Our MSc in Health Data Science is an interdisciplinary programme that is designed to prepare you for the constantly evolving landscape of data-driven health care.
The programme is based on a research and practice-driven approach, which enables you to engage with real health data. This approach helps you learn how to solve complex computational and analytical health-related problems that are relevant to healthcare, epidemiology and biomedical research.
The curriculum is designed to bridge disciplines, and reflect the collaborative nature of health data science itself, with content covering statistical modelling, machine learning, and data analysis and management.
From early in the programme, you will work with tools and technologies used in the field, such as R, SQL and Python; developing your computational literacy alongside your knowledge of clinical, health-related data. The projects you will engage with are highly practical, and reflect real-world challenges, ranging from data handling to predictive modelling in clinical settings.
This MSc is designed to support a diverse group of graduates and professionals with backgrounds and expertise in quantitative sciences. It is particularly suitable for computer science, statistics, physics, maths or biosciences graduates, who are moving into, or looking to apply their skills in a health-related profession. It is also an ideal option for healthcare professionals interested in improving their data-related skills, to get to the next stage of their career or apply for their first job in this field.
While prior experience in statistical programming is helpful, it is not essential. You should either possess foundational knowledge or be motivated to develop these skills as part of the programme.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | For detailed entry requirements, please refer to our website: https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science-msc-pgdip-pgcert/ |
| Location | Singleton Park Campus Singleton Park Swansea SA2 8PP |
Summary
Our MSc in Health Data Science will give you skills to use health data to improve the quality of life in a whole population.
The course is designed to provide the knowledge, skills and understanding that can be used across various healthcare areas.
You will be taught by world-leading academics and researchers in the field of health data science, statistics, epidemiology, omics, machine learning and data linkage in healthcare.
You will learn how to analyse health and health-related data and interpret relationships and patterns in the data. You will also interact with students from diverse educational backgrounds and disciplines from all over the world.
Your degree experience will be enhanced by access to state-of-the-art facilities for health data analysis based within our £100 million Health Data Science building.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | For detailed entry requirements, please refer to our website: https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science-msc-pgdip-pgcert/ |
| Location | Singleton Park Campus Singleton Park Swansea SA2 8PP |
Summary
Our MSc in Health Data Science will give you skills to use health data to improve the quality of life in a whole population.
The course is designed to provide the knowledge, skills and understanding that can be used across various healthcare areas.
You will be taught by world-leading academics and researchers in the field of health data science, statistics, epidemiology, omics, machine learning and data linkage in healthcare.
You will learn how to analyse health and health-related data and interpret relationships and patterns in the data. You will also interact with students from diverse educational backgrounds and disciplines from all over the world.
Your degree experience will be enhanced by access to state-of-the-art facilities for health data analysis based within our £100 million Health Data Science building.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | For detailed entry requirements, please refer to our website: https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science-msc-pgdip-pgcert/ |
| Location | Singleton Park Campus Singleton Park Swansea SA2 8PP |
Summary
Our MSc in Health Data Science will give you skills to use health data to improve the quality of life in a whole population.
The course is designed to provide the knowledge, skills and understanding that can be used across various healthcare areas.
You will be taught by world-leading academics and researchers in the field of health data science, statistics, epidemiology, omics, machine learning and data linkage in healthcare.
You will learn how to analyse health and health-related data and interpret relationships and patterns in the data. You will also interact with students from diverse educational backgrounds and disciplines from all over the world.
Your degree experience will be enhanced by access to state-of-the-art facilities for health data analysis based within our £100 million Health Data Science building.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | For detailed entry requirements, please refer to our website: https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science-msc-pgdip-pgcert/ |
| Location | Singleton Park Campus Singleton Park Swansea SA2 8PP |
Postgraduate Certificate - PgCert
Summary
Our MSc in Health Data Science is an interdisciplinary programme that is designed to prepare you for the constantly evolving landscape of data-driven health care.
The programme is based on a research and practice-driven approach, which enables you to engage with real health data. This approach helps you learn how to solve complex computational and analytical health-related problems that are relevant to healthcare, epidemiology and biomedical research.
The curriculum is designed to bridge disciplines, and reflect the collaborative nature of health data science itself, with content covering statistical modelling, machine learning, and data analysis and management.
From early in the programme, you will work with tools and technologies used in the field, such as R, SQL and Python; developing your computational literacy alongside your knowledge of clinical, health-related data. The projects you will engage with are highly practical, and reflect real-world challenges, ranging from data handling to predictive modelling in clinical settings.
This MSc is designed to support a diverse group of graduates and professionals with backgrounds and expertise in quantitative sciences. It is particularly suitable for computer science, statistics, physics, maths or biosciences graduates, who are moving into, or looking to apply their skills in a health-related profession. It is also an ideal option for healthcare professionals interested in improving their data-related skills, to get to the next stage of their career or apply for their first job in this field.
While prior experience in statistical programming is helpful, it is not essential. You should either possess foundational knowledge or be motivated to develop these skills as part of the programme.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | For detailed entry requirements, please refer to our website: https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science-msc-pgdip-pgcert/ |
| Location | Singleton Park Campus Singleton Park Swansea SA2 8PP |
Summary
Our MSc in Health Data Science will give you skills to use health data to improve the quality of life in a whole population.
The course is designed to provide the knowledge, skills and understanding that can be used across various healthcare areas.
You will be taught by world-leading academics and researchers in the field of health data science, statistics, epidemiology, omics, machine learning and data linkage in healthcare.
You will learn how to analyse health and health-related data and interpret relationships and patterns in the data. You will also interact with students from diverse educational backgrounds and disciplines from all over the world.
Your degree experience will be enhanced by access to state-of-the-art facilities for health data analysis based within our £100 million Health Data Science building.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | For detailed entry requirements, please refer to our website: https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science-msc-pgdip-pgcert/ |
| Location | Singleton Park Campus Singleton Park Swansea SA2 8PP |
Summary
Our MSc in Health Data Science will give you skills to use health data to improve the quality of life in a whole population.
The course is designed to provide the knowledge, skills and understanding that can be used across various healthcare areas.
You will be taught by world-leading academics and researchers in the field of health data science, statistics, epidemiology, omics, machine learning and data linkage in healthcare.
You will learn how to analyse health and health-related data and interpret relationships and patterns in the data. You will also interact with students from diverse educational backgrounds and disciplines from all over the world.
Your degree experience will be enhanced by access to state-of-the-art facilities for health data analysis based within our £100 million Health Data Science building.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | For detailed entry requirements, please refer to our website: https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science-msc-pgdip-pgcert/ |
| Location | Singleton Park Campus Singleton Park Swansea SA2 8PP |
Postgraduate Diploma - PgDip
Summary
Our MSc in Health Data Science is an interdisciplinary programme that is designed to prepare you for the constantly evolving landscape of data-driven health care.
The programme is based on a research and practice-driven approach, which enables you to engage with real health data. This approach helps you learn how to solve complex computational and analytical health-related problems that are relevant to healthcare, epidemiology and biomedical research.
The curriculum is designed to bridge disciplines, and reflect the collaborative nature of health data science itself, with content covering statistical modelling, machine learning, and data analysis and management.
From early in the programme, you will work with tools and technologies used in the field, such as R, SQL and Python; developing your computational literacy alongside your knowledge of clinical, health-related data. The projects you will engage with are highly practical, and reflect real-world challenges, ranging from data handling to predictive modelling in clinical settings.
This MSc is designed to support a diverse group of graduates and professionals with backgrounds and expertise in quantitative sciences. It is particularly suitable for computer science, statistics, physics, maths or biosciences graduates, who are moving into, or looking to apply their skills in a health-related profession. It is also an ideal option for healthcare professionals interested in improving their data-related skills, to get to the next stage of their career or apply for their first job in this field.
While prior experience in statistical programming is helpful, it is not essential. You should either possess foundational knowledge or be motivated to develop these skills as part of the programme.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | For detailed entry requirements, please refer to our website: https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science-msc-pgdip-pgcert/ |
| Location | Singleton Park Campus Singleton Park Swansea SA2 8PP |
Summary
Our MSc in Health Data Science is an interdisciplinary programme that is designed to prepare you for the constantly evolving landscape of data-driven health care.
The programme is based on a research and practice-driven approach, which enables you to engage with real health data. This approach helps you learn how to solve complex computational and analytical health-related problems that are relevant to healthcare, epidemiology and biomedical research.
The curriculum is designed to bridge disciplines, and reflect the collaborative nature of health data science itself, with content covering statistical modelling, machine learning, and data analysis and management.
From early in the programme, you will work with tools and technologies used in the field, such as R, SQL and Python; developing your computational literacy alongside your knowledge of clinical, health-related data. The projects you will engage with are highly practical, and reflect real-world challenges, ranging from data handling to predictive modelling in clinical settings.
This MSc is designed to support a diverse group of graduates and professionals with backgrounds and expertise in quantitative sciences. It is particularly suitable for computer science, statistics, physics, maths or biosciences graduates, who are moving into, or looking to apply their skills in a health-related profession. It is also an ideal option for healthcare professionals interested in improving their data-related skills, to get to the next stage of their career or apply for their first job in this field.
While prior experience in statistical programming is helpful, it is not essential. You should either possess foundational knowledge or be motivated to develop these skills as part of the programme.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | For detailed entry requirements, please refer to our website: https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science-msc-pgdip-pgcert/ |
| Location | Singleton Park Campus Singleton Park Swansea SA2 8PP |
Summary
Our MSc in Health Data Science is an interdisciplinary programme that is designed to prepare you for the constantly evolving landscape of data-driven health care.
The programme is based on a research and practice-driven approach, which enables you to engage with real health data. This approach helps you learn how to solve complex computational and analytical health-related problems that are relevant to healthcare, epidemiology and biomedical research.
The curriculum is designed to bridge disciplines, and reflect the collaborative nature of health data science itself, with content covering statistical modelling, machine learning, and data analysis and management.
From early in the programme, you will work with tools and technologies used in the field, such as R, SQL and Python; developing your computational literacy alongside your knowledge of clinical, health-related data. The projects you will engage with are highly practical, and reflect real-world challenges, ranging from data handling to predictive modelling in clinical settings.
This MSc is designed to support a diverse group of graduates and professionals with backgrounds and expertise in quantitative sciences. It is particularly suitable for computer science, statistics, physics, maths or biosciences graduates, who are moving into, or looking to apply their skills in a health-related profession. It is also an ideal option for healthcare professionals interested in improving their data-related skills, to get to the next stage of their career or apply for their first job in this field.
While prior experience in statistical programming is helpful, it is not essential. You should either possess foundational knowledge or be motivated to develop these skills as part of the programme.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | For detailed entry requirements, please refer to our website: https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science-msc-pgdip-pgcert/ |
| Location | Singleton Park Campus Singleton Park Swansea SA2 8PP |
Summary
Our MSc in Health Data Science will give you skills to use health data to improve the quality of life in a whole population.
The course is designed to provide the knowledge, skills and understanding that can be used across various healthcare areas.
You will be taught by world-leading academics and researchers in the field of health data science, statistics, epidemiology, omics, machine learning and data linkage in healthcare.
You will learn how to analyse health and health-related data and interpret relationships and patterns in the data. You will also interact with students from diverse educational backgrounds and disciplines from all over the world.
Your degree experience will be enhanced by access to state-of-the-art facilities for health data analysis based within our £100 million Health Data Science building.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | For detailed entry requirements, please refer to our website: https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science-msc-pgdip-pgcert/ |
| Location | Singleton Park Campus Singleton Park Swansea SA2 8PP |
Summary
Our MSc in Health Data Science will give you skills to use health data to improve the quality of life in a whole population.
The course is designed to provide the knowledge, skills and understanding that can be used across various healthcare areas.
You will be taught by world-leading academics and researchers in the field of health data science, statistics, epidemiology, omics, machine learning and data linkage in healthcare.
You will learn how to analyse health and health-related data and interpret relationships and patterns in the data. You will also interact with students from diverse educational backgrounds and disciplines from all over the world.
Your degree experience will be enhanced by access to state-of-the-art facilities for health data analysis based within our £100 million Health Data Science building.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | For detailed entry requirements, please refer to our website: https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science-msc-pgdip-pgcert/ |
| Location | Singleton Park Campus Singleton Park Swansea SA2 8PP |
Summary
Our MSc in Health Data Science will give you skills to use health data to improve the quality of life in a whole population.
The course is designed to provide the knowledge, skills and understanding that can be used across various healthcare areas.
You will be taught by world-leading academics and researchers in the field of health data science, statistics, epidemiology, omics, machine learning and data linkage in healthcare.
You will learn how to analyse health and health-related data and interpret relationships and patterns in the data. You will also interact with students from diverse educational backgrounds and disciplines from all over the world.
Your degree experience will be enhanced by access to state-of-the-art facilities for health data analysis based within our £100 million Health Data Science building.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | For detailed entry requirements, please refer to our website: https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science-msc-pgdip-pgcert/ |
| Location | Singleton Park Campus Singleton Park Swansea SA2 8PP |
Welcome to Swansea University’s Medical School, a leading centre for postgraduate education, research, and innovation in health and life sciences. Based within the Faculty of Medicine, Health and Life Science, we are ranked among the UK’s top medical schools, it offers a dynamic and supportive environment where students work alongside world-class researchers, clinicians, and industry partners to address real-world health challenges.
From biomedical science and genomics to health data science and clinical practice, postgraduate programmes are designed to be flexible, career-focused, and rooted in cutting-edge discovery. With strong links to the NHS and a commitment to …
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