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Lancaster University: Health Data Science
| Institution | Lancaster University View institution profile |
|---|---|
| Department | Lancaster Medical School |
| Web | www.lancaster.ac.uk |
| pgadmissions@lancaster.ac.uk | |
| Telephone | +44 (0)1524 592032 |
Doctor of Philosophy - PhD
Summary
The PhD in Health Data Science provides research training in developing applied informatic and analytic approaches to data within health-related subjects such as medicine and the biomedical, biotechnological, and bioengineering sciences.
You will join the programme with a supervisory panel composed of academics working in health data science more broadly. Throughout the programme, and particularly during your first year, you will be encouraged to engage in training opportunities at Lancaster and elsewhere to develop both your research skills and subject-specific knowledge and abilities. Throughout your studies, you will focus on novel scientific research, developing best practice in interpreting and communicating new scientific methods and findings.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | A 2:1 honours degree, or equivalent, in a relevant subject. We will also consider qualifications and/or experience deemed by the University to be of an equivalent standard. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 5.5 in each element of the test. We also consider other English language qualifications. |
| Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
The PhD in Health Data Science provides research training in developing applied informatic and analytic approaches to data within health-related subjects such as medicine and the biomedical, biotechnological, and bioengineering sciences.
You will join the programme with a supervisory panel composed of academics working in health data science more broadly. Throughout the programme, and particularly during your first year, you will be encouraged to engage in training opportunities at Lancaster and elsewhere to develop both your research skills and subject-specific knowledge and abilities. Throughout your studies, you will focus on novel scientific research, developing best practice in interpreting and communicating new scientific methods and findings.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | A 2:1 honours degree, or equivalent, in a relevant subject. We will also consider qualifications and/or experience deemed by the University to be of an equivalent standard. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 5.5 in each element of the test. We also consider other English language qualifications. |
| Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
MSc
Summary
Gain the skills needed to harness complex data and make fact-based recommendations on public and global health challenges. Develop hands-on experience in statistical modelling, programming and epidemiology, and learn how to apply this to real-world applications.
Work with leading academics in the field and prepare to make your mark in a profession that relies on data-driven solutions to improve health outcomes.
Why Lancaster? - Learn from international experts and their latest research in epidemiology, data modelling and public health
-
Make an impact through a placement with a public health organisation and gain experience in applying your skills to real-world problems
-
Develop interdisciplinary skills in statistics, computing and epidemiology
-
Have the opportunity to attend our Zanzibar summer school, which is run by World Health Organisation collaborating centres and focusses on infectious diseases
Is this programme right for me? Every aspect of healthcare relies on the advanced technical skills of data scientists, trained to combine deep statistical thinking with expertise in health and computer science. The field of health data science offers a variety of specialist roles across a wide range of organisations – from the public to private sectors, in the UK and overseas.
Lancaster’s MSc Health Data Science provides high-quality training in health informatics and global health. It is an ideal qualification if you want to work as a data scientist in healthcare. It also provides broad interdisciplinary skills with a focus on health research, combining knowledge from diverse fields such as data science, epidemiology and public health.
Typically, programme participants have a background in a quantitative discipline such as statistics, epidemiology, computer science, economics, biomedical sciences, physical sciences, social sciences, engineering, or any other discipline where quantitative methods are used. We also welcome intercalating medical students from Lancaster University and other medical schools.
What will I study? Our MSc in Health Data Science focuses on developing key analytical and computational techniques used to generate insights from complex health data.
The programme begins with three core modules: - Statistical Modelling for Health Research
-
Programming for Health Data Science
-
Non-Communicable Disease Epidemiology
These modules establish a robust foundation in the three pivotal areas of health data science: epidemiology, statistics, and computer science.
This is followed by three additional modules where you will learn to apply this foundational knowledge to tackle real-world health problems:
-
Handling Routinely Collected Health Data
-
Infectious Disease Epidemiology
-
Evaluation of Healthcare and Health Policy
These modules will teach how to harness the power of health data, how to model outbreaks of infectious diseases, and how to quantify health impacts at a population scale. You will be encouraged to work across various disciplines.
This approach enhances problem-solving skills and prepares you to address complex healthcare challenges through collaborative efforts.
Practical experience The programme emphasises real-world applications and offers you the opportunity to engage with a national or international public health organisation during a 12-week project placement.
You’ll work as part of a multidisciplinary team with one of our high-profile partners. In the past, these have included the NHS, Bill & Melinda Gates Foundation, Clinton Health Access Initiative and Yale University. Additionally, you’ll have access to training events and will be invited to the seminar programme run by the Centre for Health Informatics Computing and Statistics (CHICAS), giving you the opportunity to join an international network of researchers in Health Data Science.
| Study type | Taught |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | 2:2 Hons degree (UK or equivalent) in a relevant quantitative discipline, including: Mathematics, Statistics, Epidemiology, Computer Science, Economics, Biomedical Sciences, Physical Sciences, or similar. We assess applicants based on their overall undergraduate performance and typically expect strong results in quantitative skills (e.g. mathematics, statistics). We may also consider non-standard applicants based upon experience and merit. In the assessment of non-standard applications, we will especially consider evidence of quantitative skills and the personal Statement should provide strong motivation for undertaking studies in Health Data Science. Please contact the Programme Director for information. We 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
Gain the skills needed to harness complex data and make fact-based recommendations on public and global health challenges. Develop hands-on experience in statistical modelling, programming and epidemiology, and learn how to apply this to real-world applications.
Work with leading academics in the field and prepare to make your mark in a profession that relies on data-driven solutions to improve health outcomes.
Why Lancaster? - Learn from international experts and their latest research in epidemiology, data modelling and public health
-
Make an impact through a placement with a public health organisation and gain experience in applying your skills to real-world problems
-
Develop interdisciplinary skills in statistics, computing and epidemiology
-
Have the opportunity to attend our Zanzibar summer school, which is run by World Health Organisation collaborating centres and focusses on infectious diseases
Is this programme right for me? Every aspect of healthcare relies on the advanced technical skills of data scientists, trained to combine deep statistical thinking with expertise in health and computer science. The field of health data science offers a variety of specialist roles across a wide range of organisations – from the public to private sectors, in the UK and overseas.
Lancaster’s MSc Health Data Science provides high-quality training in health informatics and global health. It is an ideal qualification if you want to work as a data scientist in healthcare. It also provides broad interdisciplinary skills with a focus on health research, combining knowledge from diverse fields such as data science, epidemiology and public health.
Typically, programme participants have a background in a quantitative discipline such as statistics, epidemiology, computer science, economics, biomedical sciences, physical sciences, social sciences, engineering, or any other discipline where quantitative methods are used. We also welcome intercalating medical students from Lancaster University and other medical schools.
What will I study? Our MSc in Health Data Science focuses on developing key analytical and computational techniques used to generate insights from complex health data.
The programme begins with three core modules: - Statistical Modelling for Health Research
-
Programming for Health Data Science
-
Non-Communicable Disease Epidemiology
These modules establish a robust foundation in the three pivotal areas of health data science: epidemiology, statistics, and computer science.
This is followed by three additional modules where you will learn to apply this foundational knowledge to tackle real-world health problems:
-
Handling Routinely Collected Health Data
-
Infectious Disease Epidemiology
-
Evaluation of Healthcare and Health Policy
These modules will teach how to harness the power of health data, how to model outbreaks of infectious diseases, and how to quantify health impacts at a population scale. You will be encouraged to work across various disciplines.
This approach enhances problem-solving skills and prepares you to address complex healthcare challenges through collaborative efforts.
Practical experience The programme emphasises real-world applications and offers you the opportunity to engage with a national or international public health organisation during a 12-week project placement.
You’ll work as part of a multidisciplinary team with one of our high-profile partners. In the past, these have included the NHS, Bill & Melinda Gates Foundation, Clinton Health Access Initiative and Yale University. Additionally, you’ll have access to training events and will be invited to the seminar programme run by the Centre for Health Informatics Computing and Statistics (CHICAS), giving you the opportunity to join an international network of researchers in Health Data Science.
| Study type | Taught |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | 2:2 Hons degree (UK or equivalent) in a relevant quantitative discipline, including: Mathematics, Statistics, Epidemiology, Computer Science, Economics, Biomedical Sciences, Physical Sciences, or similar. We assess applicants based on their overall undergraduate performance and typically expect strong results in quantitative skills (e.g. mathematics, statistics). We may also consider non-standard applicants based upon experience and merit. In the assessment of non-standard applications, we will especially consider evidence of quantitative skills and the personal Statement should provide strong motivation for undertaking studies in Health Data Science. Please contact the Programme Director for information. We 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
Deep statistical thinking combined with expertise in health and computer science is becoming increasingly fundamental in tackling public health problems across the world. The MSc in Health Data Science will equip you with advanced technical skills which will allow you to develop a career as a data-scientist in the health and care sector. The MSc in Health Data Science, consists of an initial set of 4 core modules: "Statistical methods and models for health research", "Programming for Health Data Science", "Fundamentals for Health Data Science" and "Introduction to applied epidemiology". These will allow you to develop and consolidate foundational skills in the three main areas of Health Data Science: epidemiology, statistics and computer science.
On completion of these modules, you will then progress onto one of two pathways: "Global health" or "Health informatics".
Global Health The "Global Health" pathway further develops your skills in statistical science with a focus on spatio-temporal methods of analysis of infectious diseases and how these are used to inform health policy decisions.
Health Informatics The modules of the "Health Informatics'' pathway will focus on developing your knowledge and statistical skills in the analysis of routinely collected health data and in the economic evaluation of health care.
These two pathways will open you new career opportunities as a data-scientist of a multidisciplinary team within international and national public health organizations and health care providers.
In addition to these taught modules, you will also undertake a 12-week project as part of a placement with one of our partners, which include the World Health Organization and the National Health Service. This will provide you with a fantastic opportunity to apply your skills and knowledge to real-world situations and challenges, allowing you to gain valuable professional experience as a part of a multidisciplinary team.
The placement project represents a substantial, independent research project. Supervised by an academic specialist, you will develop your ability to formulate a project plan, gather and analyse data, interpret your results, and present findings in a professional environment. This research will be an opportunity to bring together everything you have learnt over the year, expand your problem-solving abilities and manage a significant project. This will be a great experience for you to draw upon in an interview and in your career.
| Study type | Taught |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | 2:1 Hons degree (UK or equivalent) in a relevant discipline including: Statistics, Epidemiology, Computer Science, Economics, Biomedical Sciences, Physical Sciences, or similar. We may also consider non-standard applicants based upon experience and merit, please contact the Programme Director 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
Deep statistical thinking combined with expertise in health and computer science is becoming increasingly fundamental in tackling public health problems across the world. The MSc in Health Data Science will equip you with advanced technical skills which will allow you to develop a career as a data-scientist in the health and care sector. The MSc in Health Data Science, consists of an initial set of 4 core modules: "Statistical methods and models for health research", "Programming for Health Data Science", "Fundamentals for Health Data Science" and "Introduction to applied epidemiology". These will allow you to develop and consolidate foundational skills in the three main areas of Health Data Science: epidemiology, statistics and computer science.
On completion of these modules, you will then progress onto one of two pathways: "Global health" or "Health informatics".
Global Health The "Global Health" pathway further develops your skills in statistical science with a focus on spatio-temporal methods of analysis of infectious diseases and how these are used to inform health policy decisions.
Health Informatics The modules of the "Health Informatics'' pathway will focus on developing your knowledge and statistical skills in the analysis of routinely collected health data and in the economic evaluation of health care.
These two pathways will open you new career opportunities as a data-scientist of a multidisciplinary team within international and national public health organizations and health care providers.
In addition to these taught modules, you will also undertake a 12-week project as part of a placement with one of our partners, which include the World Health Organization and the National Health Service. This will provide you with a fantastic opportunity to apply your skills and knowledge to real-world situations and challenges, allowing you to gain valuable professional experience as a part of a multidisciplinary team.
The placement project represents a substantial, independent research project. Supervised by an academic specialist, you will develop your ability to formulate a project plan, gather and analyse data, interpret your results, and present findings in a professional environment. This research will be an opportunity to bring together everything you have learnt over the year, expand your problem-solving abilities and manage a significant project. This will be a great experience for you to draw upon in an interview and in your career.
| Study type | Taught |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | 2:1 Hons degree (UK or equivalent) in a relevant discipline including: Statistics, Epidemiology, Computer Science, Economics, Biomedical Sciences, Physical Sciences, or similar. We may also consider non-standard applicants based upon experience and merit, please contact the Programme Director 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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