12 monthsProgramme duration
40,000 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Statistics and Operational Research
Degree
MSc
Study Level
Masters
Study Mode
Blended
The Applied Statistical Modelling and Health Informatics course has been created to deliver a skill set and knowledge base in “multimodal” and “big data” analysis techniques, which are a recognised scarcity within UK Life sciences.
You will receive world-class training in core applied statistical methodology, machine learning and computational methodology, and you will have the opportunity to apply your skills to real-life settings facilitated by the world-leading Institute of Psychiatry, Psychology & Neuroscience.
The course will apply to a broad spectrum of graduates preparing for a career in medical statistics and health informatics, or professional methodologists and clinical researchers working in the private or public health sector who are interested in state-of-the-art technologies training from world-class experts.
This course is also suitable if you are a graduate in/work in the fields of psychology, medical/health sciences, bioinformatics, data science, statistics, maths, physics, engineering and natural science,
The course will prepare participants for the ever-growing need for a sound scientific approach to processing information and generating knowledge in modern health services. Practical skills will be taught through applications to real-life settings in a world-leading research institution in mental health.
Key benefits
You will receive world-class training in core applied statistical methodology, machine learning and computational methodology, and you will have the opportunity to apply your skills to real-life settings facilitated by the world-leading Institute of Psychiatry, Psychology & Neuroscience.
The course will apply to a broad spectrum of graduates preparing for a career in medical statistics and health informatics, or professional methodologists and clinical researchers working in the private or public health sector who are interested in state-of-the-art technologies training from world-class experts.
This course is also suitable if you are a graduate in/work in the fields of psychology, medical/health sciences, bioinformatics, data science, statistics, maths, physics, engineering and natural science,
The course will prepare participants for the ever-growing need for a sound scientific approach to processing information and generating knowledge in modern health services. Practical skills will be taught through applications to real-life settings in a world-leading research institution in mental health.
Key benefits
- Develop your skills in multimodal and big data analysis techniques.
- A unique flexibly structured programme ideal for researchers in industry and academia hoping to obtain methodological skills to boost their research excellence and employability.
- Specialist careers for those interested in applied statistical modelling and health informatics within a modern information and knowledge-based medical research setting.
- Valuable insight from those working at the cutting edge of these fields.
- Learn how omics, electronic health records, social media, wearables and smartphone data are used to benefit the patient.
- Apply your skills to real-life health settings facilitated by the world-leading Institute of Psychiatry, Psychology & Neuroscience.
- Access the IoPPN’s statistical and health informatics research groups and benefit from our links with industry and the NHS.
- Benefit from outstanding career, networking and mentoring opportunities.
- High levels of student experience - The MSc achieved 87% overall satisfaction in the 2023/4 postgraduate taught experience student survey.
Programme overview
Main Subject
Statistics and Operational Research
Degree
MSc
Study Level
Masters
Study Mode
Blended
The Applied Statistical Modelling and Health Informatics course has been created to deliver a skill set and knowledge base in “multimodal” and “big data” analysis techniques, which are a recognised scarcity within UK Life sciences.
You will receive world-class training in core applied statistical methodology, machine learning and computational methodology, and you will have the opportunity to apply your skills to real-life settings facilitated by the world-leading Institute of Psychiatry, Psychology & Neuroscience.
The course will apply to a broad spectrum of graduates preparing for a career in medical statistics and health informatics, or professional methodologists and clinical researchers working in the private or public health sector who are interested in state-of-the-art technologies training from world-class experts.
This course is also suitable if you are a graduate in/work in the fields of psychology, medical/health sciences, bioinformatics, data science, statistics, maths, physics, engineering and natural science,
The course will prepare participants for the ever-growing need for a sound scientific approach to processing information and generating knowledge in modern health services. Practical skills will be taught through applications to real-life settings in a world-leading research institution in mental health.
Key benefits
You will receive world-class training in core applied statistical methodology, machine learning and computational methodology, and you will have the opportunity to apply your skills to real-life settings facilitated by the world-leading Institute of Psychiatry, Psychology & Neuroscience.
The course will apply to a broad spectrum of graduates preparing for a career in medical statistics and health informatics, or professional methodologists and clinical researchers working in the private or public health sector who are interested in state-of-the-art technologies training from world-class experts.
This course is also suitable if you are a graduate in/work in the fields of psychology, medical/health sciences, bioinformatics, data science, statistics, maths, physics, engineering and natural science,
The course will prepare participants for the ever-growing need for a sound scientific approach to processing information and generating knowledge in modern health services. Practical skills will be taught through applications to real-life settings in a world-leading research institution in mental health.
Key benefits
- Develop your skills in multimodal and big data analysis techniques.
- A unique flexibly structured programme ideal for researchers in industry and academia hoping to obtain methodological skills to boost their research excellence and employability.
- Specialist careers for those interested in applied statistical modelling and health informatics within a modern information and knowledge-based medical research setting.
- Valuable insight from those working at the cutting edge of these fields.
- Learn how omics, electronic health records, social media, wearables and smartphone data are used to benefit the patient.
- Apply your skills to real-life health settings facilitated by the world-leading Institute of Psychiatry, Psychology & Neuroscience.
- Access the IoPPN’s statistical and health informatics research groups and benefit from our links with industry and the NHS.
- Benefit from outstanding career, networking and mentoring opportunities.
- High levels of student experience - The MSc achieved 87% overall satisfaction in the 2023/4 postgraduate taught experience student survey.
Admission Requirements
176+
6.5+
3.3+
92+
62+
A bachelor’s degree with 2:1 honours in Computer Science, Mathematics, Statistics, Physics, Natural Sciences, Electronic Engineering, Psychology or Geographic Information Systems. In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree, if you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme.
Other degrees or professional qualifications may be acceptable, such as the Graduate diploma of the Royal Statistical Society.
Other degrees or professional qualifications may be acceptable, such as the Graduate diploma of the Royal Statistical Society.
1 Year
Sep
Tuition fees
Domestic
16,950 GBP
International
40,000 GBP
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