This module will equip students with the core concepts and key competencies required for working within the field of health, health promotion and wellness.

1. Demonstrate they have a detailed knowledge and understanding of the core concepts in health promotion and wellness practice

2. Illustrate they have detailed knowledge and understanding of core competencies required for health promotion practicioners

3. Critically appraise health related strategies and polices

4. Self-reflect on the broad nature of health and health promotion work

5. Develop evidence based health promotion related tools and resources

This module introduces students to the core concepts and theories of project management and how to apply these to the delivery of projects in a health/community setting. This module will give students an understanding of the processes and stages of the project management cycle and the knowledge and skills required.

1. Appraise the role of projects within the context of healthcare and community organisations justifying the contexts in which a project management approach would be appropriate.

2. Distinguish between project management frameworks and processes,and tailor these to projects in a health care or community setting.

3. Devise a health focused project plan demonstrating an understanding key project management knowledge areas including but not limited toscope, schedule cost, schedule and quality management.

4. Devise and defend a project management communication plan and a project monitoring and evaluation plan.

5. Identify and analyse strategies for effective stakeholder management and engagement and during all stages of the project

6. Critically analyse approaches to increasing team effectiveness to ensure the successful delivery of project objectives and tasks

This module introduces students to the basic principles of research design for quantitative studies in epidemiology. The strengths and weaknesses of various study designs will be discussed and students will gain an understanding of the process of ensuring rigour at all stages of the research process. Students will experience developing research proposal as well as the development of a data collection instrument. Students will also reflect on quality and ethical issues in relation to quantitative research.

1. Design a research proposal that is appropriate to a quantitiative methodology and demostrates an understanding of basic principles of epidemiological research.

2. Design appropriate study data collection instrument relevant to a specific study

3. Effectively communicate an informed scientific argument for choice of research design in an epidemiological study

4. Use project management tools in the development of a research proposalsatisfying quality and ethical guidelines.

This module will explore the concepts involved in establishing and collecting qualitative and mixed methods research data in a variety of health, educational and community settings.Students will reflect on the quality of published qualitative research and learn about the importance of rigour in qualitative research. Students will develop research questions suited to qualitative and mixed methods and be involved in collecting qualitative data and the initial stages of analysis.

1. Design a research proposal that is appropriate to qualitative or mixed methods approaches and demonstrates an understanding of the basic principles of qualitative/mixed methods research methodologies.

2. Collect and conduct an initial analysis of qualitative data which is appropriate to a qualitative research question.

3. Critically consider the different ways to combine qualitative and quantitative research in a mixed method study.

This module will equip the student with advanced statistical techniques for analysing data in the Public Health and Health Promotion fields. It provides the students with the ability to apply appropriate statistical techniques to data sets gathered during project work and also to comment on and rate techniques used in existing studies.

1. Formulate conclusions on the health of a population by applying a range ofadvanced statistical techniques in the analysis of population health data.

2. Model the relationships between variables using regression analysis

3. Explain the concept of survival analysis and apply the most commonly used mortality/survival functions

4. Justify the selection and application of appropriate quantitative analysis in global health literature and reports.

5. Use a statistical software package to carry out analysis on health related datasets.