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University of Exeter: Health Data Science
| Institution | University of Exeter |
|---|---|
| Department | Health and Community Sciences |
| Web | https://www.exeter.ac.uk |
| Study type | Taught |
MSc
Summary
-
Gain cutting edge skills in the field of health-related data; a rapidly growing area in which the UK excels with access to the largest biobanks, genomic and health services resources.
-
You will be taught by world-leading academics in genomics, epidemiology and health services research from mathematics, computer science and biomedical backgrounds
-
Flexible, interdisciplinary course designed for both applicants with quantitative skills interested in health, and students from a health background interested in data science
-
Opportunities for real-world research project opportunities with the NHS, pharmaceutical and health data companies
-
This course offers on employable, transferrable skills and focuses on Python – a coding language used across the technology space
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You will have, or be predicted, at least a 2:2 degree in a strongly numerate subject (e.g. computer science, mathematics, physics), or a health/life sciences degree – prior coding skills are not required. Alternatively you will have demonstrably strong skills in maths, computing or engineering, but not necessarily a degree. We will require a personal statement detailing your reasons for seeking to study Health Data Science. If you come from a health / life sciences background, this should demonstrate an ability, interest, or understanding of what this highly technical discipline involves. The first term of the course has two separate tracks to adapt to your prior knowledge of coding and data science. For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - St Luke's Campus Heavitree Road Exeter Devon EX1 2LU |
Summary
-
Gain cutting edge skills in the field of health-related data; a rapidly growing area in which the UK excels with access to the largest biobanks, genomic and health services resources.
-
You will be taught by world-leading academics in genomics, epidemiology and health services research from mathematics, computer science and biomedical backgrounds
-
Flexible, interdisciplinary course designed for both applicants with quantitative skills interested in health, and students from a health background interested in data science
-
Opportunities for real-world research project opportunities with the NHS, pharmaceutical and health data companies
-
This course offers on employable, transferrable skills and focuses on Python – a coding language used across the technology space
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You will have, or be predicted, at least a 2:2 degree in a strongly numerate subject (e.g. computer science, mathematics, physics), or a health/life sciences degree – prior coding skills are not required. Alternatively you will have demonstrably strong skills in maths, computing or engineering, but not necessarily a degree. We will require a personal statement detailing your reasons for seeking to study Health Data Science. If you come from a health / life sciences background, this should demonstrate an ability, interest, or understanding of what this highly technical discipline involves. The first term of the course has two separate tracks to adapt to your prior knowledge of coding and data science. For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - St Luke's Campus Heavitree Road Exeter Devon EX1 2LU |
Summary
-
Gain cutting edge skills in the field of health-related data; a rapidly growing area in which the UK excels with access to the largest biobanks, genomic and health services resources.
-
You will be taught by world-leading academics in genomics, epidemiology and health services research from mathematics, computer science and biomedical backgrounds
-
Flexible, interdisciplinary course designed for both applicants with quantitative skills interested in health, and students from a health background interested in data science
-
Opportunities for real-world research project opportunities with the NHS, pharmaceutical and health data companies
-
This course offers on employable, transferrable skills and focuses on Python – a coding language used across the technology space
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You will have, or be predicted, at least a 2:2 degree in a strongly numerate subject (e.g. computer science, mathematics, physics), or a health/life sciences degree – prior coding skills are not required. Alternatively you will have demonstrably strong skills in maths, computing or engineering, but not necessarily a degree. We will require a personal statement detailing your reasons for seeking to study Health Data Science. If you come from a health / life sciences background, this should demonstrate an ability, interest, or understanding of what this highly technical discipline involves. The first term of the course has two separate tracks to adapt to your prior knowledge of coding and data science. For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - St Luke's Campus Heavitree Road Exeter Devon EX1 2LU |
Summary
-
Gain cutting edge skills in the field of health-related data; a rapidly growing area in which the UK excels with access to the largest biobanks, genomic and health services resources. This programme offers the chance to learn and apply your quantitative skills (e.g. computing, maths, statistics) in a health and medical setting, even if you have had no experience in health, medicine or biology.
-
This course offers an excellent platform into exciting career opportunities. Previous students have moved into new careers in the National Health Service as analysts, NHS digital, industry and research, including positions in data science and AI, with the Institute Pasteur, Office of National Statistics, IQVIA, Davita Kidney care, Optimum Patient Care, with the Institute of Cancer Research, in Clinical trials, and PhDs in the USA, University College London and Cancer research UK.
-
We are one of only six UK institutions chosen to deliver this training for Health Data Research UK (HDRUK) which means that we demonstrated scientific excellence, a track record in postgraduate training, innovative approaches to further education and strong institutional commitment.
-
This programme consists of a small but diverse cohort of students who share an aptitude for handling data with their coding skills, but come from a diverse range of backgrounds – medicine, the NHS, maths, computer science and biosciences. This mix contributes to an excellent rapport between students.
-
Get the chance to perform research in the real world, with a range of exciting research project opportunities including those with placements in the NHS, large pharmaceutical companies and health data companies.
-
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You will have, or be predicted, at least a 2:2 degree in a strongly numerate subject (e.g. computer science, mathematics, physics), OR a 2:2 in a health/life sciences degree AND demonstrate good programming ability in a modern computer language. Alternatively you will have strong skills in maths, computing or engineering, but not necessarily have a degree. Computer programming ability will be assessed with a short simple test as part of the selection process. We will also use your personal statement and a short interview to determine which students receive full fees and stipend. A personal statement, detailing your reasons for seeking to undertake this subject, will be required. Who can apply for this course?: Accreditation of prior learning for Masters courses in Healthcare and Medicine For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - St Luke's Campus Heavitree Road Exeter Devon EX1 2LU |
Summary
-
Gain cutting edge skills in the field of health-related data; a rapidly growing area in which the UK excels with access to the largest biobanks, genomic and health services resources. This programme offers the chance to learn and apply your quantitative skills (e.g. computing, maths, statistics) in a health and medical setting, even if you have had no experience in health, medicine or biology.
-
This course offers an excellent platform into exciting career opportunities. Previous students have moved into new careers in the National Health Service as analysts, NHS digital, industry and research, including positions in data science and AI, with the Institute Pasteur, Office of National Statistics, IQVIA, Davita Kidney care, Optimum Patient Care, with the Institute of Cancer Research, in Clinical trials, and PhDs in the USA, University College London and Cancer research UK.
-
We are one of only six UK institutions chosen to deliver this training for Health Data Research UK (HDRUK) which means that we demonstrated scientific excellence, a track record in postgraduate training, innovative approaches to further education and strong institutional commitment.
-
This programme consists of a small but diverse cohort of students who share an aptitude for handling data with their coding skills, but come from a diverse range of backgrounds – medicine, the NHS, maths, computer science and biosciences. This mix contributes to an excellent rapport between students.
-
Get the chance to perform research in the real world, with a range of exciting research project opportunities including those with placements in the NHS, large pharmaceutical companies and health data companies.
-
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You will have, or be predicted, at least a 2:2 degree in a strongly numerate subject (e.g. computer science, mathematics, physics), OR a 2:2 in a health/life sciences degree AND demonstrate good programming ability in a modern computer language. Alternatively you will have strong skills in maths, computing or engineering, but not necessarily have a degree. Computer programming ability will be assessed with a short simple test as part of the selection process. We will also use your personal statement and a short interview to determine which students receive full fees and stipend. A personal statement, detailing your reasons for seeking to undertake this subject, will be required. Who can apply for this course?: Accreditation of prior learning for Masters courses in Healthcare and Medicine For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - St Luke's Campus Heavitree Road Exeter Devon EX1 2LU |
Summary
-
Gain cutting edge skills in the field of health-related data; a rapidly growing area in which the UK excels with access to the largest biobanks, genomic and health services resources. This programme offers the chance to learn and apply your quantitative skills (e.g. computing, maths, statistics) in a health and medical setting, even if you have had no experience in health, medicine or biology.
-
This course offers an excellent platform into exciting career opportunities. Previous students have moved into new careers in the National Health Service as analysts, NHS digital, industry and research, including positions in data science and AI, with the Institute Pasteur, Office of National Statistics, IQVIA, Davita Kidney care, Optimum Patient Care, with the Institute of Cancer Research, in Clinical trials, and PhDs in the USA, University College London and Cancer research UK.
-
We are one of only six UK institutions chosen to deliver this training for Health Data Research UK (HDRUK) which means that we demonstrated scientific excellence, a track record in postgraduate training, innovative approaches to further education and strong institutional commitment.
-
This programme consists of a small but diverse cohort of students who share an aptitude for handling data with their coding skills, but come from a diverse range of backgrounds – medicine, the NHS, maths, computer science and biosciences. This mix contributes to an excellent rapport between students.
-
Get the chance to perform research in the real world, with a range of exciting research project opportunities including those with placements in the NHS, large pharmaceutical companies and health data companies.
-
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You will have, or be predicted, at least a 2:2 degree in a strongly numerate subject (e.g. computer science, mathematics, physics), OR a 2:2 in a health/life sciences degree AND demonstrate good programming ability in a modern computer language. Alternatively you will have strong skills in maths, computing or engineering, but not necessarily have a degree. Computer programming ability will be assessed with a short simple test as part of the selection process. We will also use your personal statement and a short interview to determine which students receive full fees and stipend. A personal statement, detailing your reasons for seeking to undertake this subject, will be required. Who can apply for this course?: Accreditation of prior learning for Masters courses in Healthcare and Medicine For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - St Luke's Campus Heavitree Road Exeter Devon EX1 2LU |
Postgraduate Certificate - PgCert
Summary
-
Gain cutting edge skills in the field of health-related data; a rapidly growing area in which the UK excels with access to the largest biobanks, genomic and health services resources.
-
You will be taught by world-leading academics in genomics, epidemiology and health services research from mathematics, computer science and biomedical backgrounds
-
Flexible, interdisciplinary course designed for both applicants with quantitative skills interested in health, and students from a health background interested in data science
-
Opportunities for real-world research project opportunities with the NHS, pharmaceutical and health data companies
-
This course offers on employable, transferrable skills and focuses on Python – a coding language used across the technology space
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You will have, or be predicted, at least a 2:2 degree in a strongly numerate subject (e.g. computer science, mathematics, physics), or a health/life sciences degree – prior coding skills are not required. Alternatively you will have demonstrably strong skills in maths, computing or engineering, but not necessarily a degree. We will require a personal statement detailing your reasons for seeking to study Health Data Science. If you come from a health / life sciences background, this should demonstrate an ability, interest, or understanding of what this highly technical discipline involves. The first term of the course has two separate tracks to adapt to your prior knowledge of coding and data science. For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - St Luke's Campus Heavitree Road Exeter Devon EX1 2LU |
Summary
-
Gain cutting edge skills in the field of health-related data; a rapidly growing area in which the UK excels with access to the largest biobanks, genomic and health services resources. This programme offers the chance to learn and apply your quantitative skills (e.g. computing, maths, statistics) in a health and medical setting, even if you have had no experience in health, medicine or biology.
-
This course offers an excellent platform into exciting career opportunities. Previous students have moved into new careers in the National Health Service as analysts, NHS digital, industry and research, including positions in data science and AI, with the Institute Pasteur, Office of National Statistics, IQVIA, Davita Kidney care, Optimum Patient Care, with the Institute of Cancer Research, in Clinical trials, and PhDs in the USA, University College London and Cancer research UK.
-
We are one of only six UK institutions chosen to deliver this training for Health Data Research UK (HDRUK) which means that we demonstrated scientific excellence, a track record in postgraduate training, innovative approaches to further education and strong institutional commitment.
-
This programme consists of a small but diverse cohort of students who share an aptitude for handling data with their coding skills, but come from a diverse range of backgrounds – medicine, the NHS, maths, computer science and biosciences. This mix contributes to an excellent rapport between students.
-
Get the chance to perform research in the real world, with a range of exciting research project opportunities including those with placements in the NHS, large pharmaceutical companies and health data companies.
-
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You will have, or be predicted, at least a 2:2 degree in a strongly numerate subject (e.g. computer science, mathematics, physics), OR a 2:2 in a health/life sciences degree AND demonstrate good programming ability in a modern computer language. Alternatively you will have strong skills in maths, computing or engineering, but not necessarily have a degree. Computer programming ability will be assessed with a short simple test as part of the selection process. We will also use your personal statement and a short interview to determine which students receive full fees and stipend. A personal statement, detailing your reasons for seeking to undertake this subject, will be required. Who can apply for this course?: Accreditation of prior learning for Masters courses in Healthcare and Medicine For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - St Luke's Campus Heavitree Road Exeter Devon EX1 2LU |
Postgraduate Diploma - PgDip
Summary
-
Gain cutting edge skills in the field of health-related data; a rapidly growing area in which the UK excels with access to the largest biobanks, genomic and health services resources.
-
You will be taught by world-leading academics in genomics, epidemiology and health services research from mathematics, computer science and biomedical backgrounds
-
Flexible, interdisciplinary course designed for both applicants with quantitative skills interested in health, and students from a health background interested in data science
-
Opportunities for real-world research project opportunities with the NHS, pharmaceutical and health data companies
-
This course offers on employable, transferrable skills and focuses on Python – a coding language used across the technology space
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You will have, or be predicted, at least a 2:2 degree in a strongly numerate subject (e.g. computer science, mathematics, physics), or a health/life sciences degree – prior coding skills are not required. Alternatively you will have demonstrably strong skills in maths, computing or engineering, but not necessarily a degree. We will require a personal statement detailing your reasons for seeking to study Health Data Science. If you come from a health / life sciences background, this should demonstrate an ability, interest, or understanding of what this highly technical discipline involves. The first term of the course has two separate tracks to adapt to your prior knowledge of coding and data science. For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - St Luke's Campus Heavitree Road Exeter Devon EX1 2LU |
Summary
-
Gain cutting edge skills in the field of health-related data; a rapidly growing area in which the UK excels with access to the largest biobanks, genomic and health services resources. This programme offers the chance to learn and apply your quantitative skills (e.g. computing, maths, statistics) in a health and medical setting, even if you have had no experience in health, medicine or biology.
-
This course offers an excellent platform into exciting career opportunities. Previous students have moved into new careers in the National Health Service as analysts, NHS digital, industry and research, including positions in data science and AI, with the Institute Pasteur, Office of National Statistics, IQVIA, Davita Kidney care, Optimum Patient Care, with the Institute of Cancer Research, in Clinical trials, and PhDs in the USA, University College London and Cancer research UK.
-
We are one of only six UK institutions chosen to deliver this training for Health Data Research UK (HDRUK) which means that we demonstrated scientific excellence, a track record in postgraduate training, innovative approaches to further education and strong institutional commitment.
-
This programme consists of a small but diverse cohort of students who share an aptitude for handling data with their coding skills, but come from a diverse range of backgrounds – medicine, the NHS, maths, computer science and biosciences. This mix contributes to an excellent rapport between students.
-
Get the chance to perform research in the real world, with a range of exciting research project opportunities including those with placements in the NHS, large pharmaceutical companies and health data companies.
-
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You will have, or be predicted, at least a 2:2 degree in a strongly numerate subject (e.g. computer science, mathematics, physics), OR a 2:2 in a health/life sciences degree AND demonstrate good programming ability in a modern computer language. Alternatively you will have strong skills in maths, computing or engineering, but not necessarily have a degree. Computer programming ability will be assessed with a short simple test as part of the selection process. We will also use your personal statement and a short interview to determine which students receive full fees and stipend. A personal statement, detailing your reasons for seeking to undertake this subject, will be required. Who can apply for this course?: Accreditation of prior learning for Masters courses in Healthcare and Medicine For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - St Luke's Campus Heavitree Road Exeter Devon EX1 2LU |
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