+44 1792 602058
This module explores the underlying concepts that are used to evaluate population health. How to design a study, measuring frequency and rate of diseases, how tell what the risk factors are for getting a disease, how to critically appraise research, and understanding the limitations of research including bias, reverse causality and confounding. The module will use the current work with Public Health Wales, Welsh Government and Charities and show how their programmes are evaluated using epidemiology design and analysis. The data used in workshops will come directly from our research working in primary schools, arthritis and with the Growing up in Wales study. This course provides hands on experience and training in understanding and measuring population health, and is delivered by practicing researchers in the National Centre for Population Health and Well-being.
The aim of this module is to provide a capstone experience to students¿ learning, through participating in their own enquiry-based research project. The project may be laboratory or non-laboratory based, but it will always involve a research question that is drawn from the literature, and focused on a topic relevant to medical science. It will ask a novel research question and involve the critical analysis of research findings. Students will refine their oral and written communication skills to a graduate level through creating an introductory presentation on the project background, and a written dissertation and oral presentation on their research conclusions.
This module explores the underlying concepts that are used to evaluate population health. How to design a study, measuring frequency and rate of diseases, how tell what the risk factors are for getting a disease, how to critically appraise research, and understanding the limitations of research including bias, reverse causality and confounding. The module will use the current work with Public Health Wales, Welsh Government and Charities and show how their programmes are evaluated using epidemiology design and analysis. The data used in workshops will come directly from our research working in primary schools, arthritis and with the Growing up in Wales study. This course provides hands on experience and training in understanding and measuring population health, and is delivered by practicing researchers in the National Centre for Population Health and Well-being.
Health data scientists are expected to work with diverse data sources. Modelling data encompasses setting up database models and analysing the data using statistical models. The objective of this module is to raise the awareness of students about the various processes of data modelling and the key operations involved in the data processing of large and diverse datasets. Module leader is Dr Joanne Demmler
The module aims to raise the awareness of students about scientific computing in the field of health data science. It focuses on basic software development workflows, tools, and skills that health data scientists most often employ. Students will also learn about the professional context within which health data scientists operate. This is a core / compulsory module and worth 20 Masters level credits.
Health data scientists are expected to work with diverse data sources. Modelling data encompasses setting up database models and analysing the data using statistical models. The objective of this module is to raise the awareness of students about the various processes of data modelling and the key operations involved in the data processing of large and diverse datasets. This is a core / compulsory module and worth 20 Masters level credits.
Health data scientists are expected to work with diverse data sources. Modelling data encompasses setting up database models and analysing the data using statistical models. The objective of this module is to raise the awareness of students about the various processes of data modelling and the key operations involved in the data processing of large and diverse datasets. This is a core / compulsory module and worth 20 Masters level credits.
Students will study data quality and management, secondary uses of clinical data, service improvement and clinical audit. Academic skills are developed and enhanced by an introduction to quantitative research methodologies. Students will be introduced to statistical software such as SPSS.
+44 1792 602058
Swansea University is a registered charity. No. 1138342.