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This postgraduate degree will build on your existing
quantitative knowledge to give you the expertise in statistical analysis,
computer science and health research that you will need to become a data
scientist in the healthcare sector.
You will develop a thorough grounding in computing and the
statistical methods underpinning modern day data science, but with a focus on
understanding, applying and adapting it to real life problems in the health
domain.
You will develop computing skills required to manage and
explore big health datasets, to gain insight into, and inform, health research.
Your analytic skills will be developed on real medical data sets, using
statistical and computational software such as R and Python.
Alongside this, you will develop your knowledge base of
cutting-edge machine learning and artificial intelligence methods, learning how
they can be harnessed to answer clinical questions, bringing together the power
and potential of computational analytics, statistical thinking, and medical
research, to improve health.
Programme overview
Main Subject
Health/Healthcare
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This postgraduate degree will build on your existing
quantitative knowledge to give you the expertise in statistical analysis,
computer science and health research that you will need to become a data
scientist in the healthcare sector.
You will develop a thorough grounding in computing and the
statistical methods underpinning modern day data science, but with a focus on
understanding, applying and adapting it to real life problems in the health
domain.
You will develop computing skills required to manage and
explore big health datasets, to gain insight into, and inform, health research.
Your analytic skills will be developed on real medical data sets, using
statistical and computational software such as R and Python.
Alongside this, you will develop your knowledge base of
cutting-edge machine learning and artificial intelligence methods, learning how
they can be harnessed to answer clinical questions, bringing together the power
and potential of computational analytics, statistical thinking, and medical
research, to improve health.
Admission Requirements
1 Year
Sep
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Population Health Data Science MSc
The University of Leicester, Leicester, United Kingdom
12 monthsProgramme duration
Health/HealthcareMain Subject Area
Programme overview
Main Subject
Health/Healthcare
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This postgraduate degree will build on your existing quantitative knowledge to give you the expertise in statistical analysis, computer science and health research that you will need to become a data scientist in the healthcare sector.
You will develop a thorough grounding in computing and the statistical methods underpinning modern day data science, but with a focus on understanding, applying and adapting it to real life problems in the health domain.
You will develop computing skills required to manage and explore big health datasets, to gain insight into, and inform, health research. Your analytic skills will be developed on real medical data sets, using statistical and computational software such as R and Python.
Alongside this, you will develop your knowledge base of cutting-edge machine learning and artificial intelligence methods, learning how they can be harnessed to answer clinical questions, bringing together the power and potential of computational analytics, statistical thinking, and medical research, to improve health.
Programme overview
Main Subject
Health/Healthcare
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This postgraduate degree will build on your existing quantitative knowledge to give you the expertise in statistical analysis, computer science and health research that you will need to become a data scientist in the healthcare sector.
You will develop a thorough grounding in computing and the statistical methods underpinning modern day data science, but with a focus on understanding, applying and adapting it to real life problems in the health domain.
You will develop computing skills required to manage and explore big health datasets, to gain insight into, and inform, health research. Your analytic skills will be developed on real medical data sets, using statistical and computational software such as R and Python.
Alongside this, you will develop your knowledge base of cutting-edge machine learning and artificial intelligence methods, learning how they can be harnessed to answer clinical questions, bringing together the power and potential of computational analytics, statistical thinking, and medical research, to improve health.
Admission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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