Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details:
Build in-depth skills in the advanced research techniques needed to gain effective insights from data. You’ll focus on societies’ health and wellbeing.
With a core focus on the in-depth methods and approaches to quantitative and qualitative research, this course will help you gain the essential skills to progress your studies or become a working researcher in the field of societal health and wellbeing.
Throughout this course you will study topics like:
You’ll enhance your understanding of the techniques used in the analysis of large-scale data and how to effectively present key insights and findings.
You should have a bachelor’s honours degree or international equivalent, typically a 2:1 or above.
To apply for this course you should have an undergraduate degree in an appropriate subject relating to health and wellbeing.
We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.
For fees and funding options, please visit website to find out more
There is increasing demand for high-level quantitative and qualitative research skills from a wide range of private and public sector recruiters.
Many firms and government departments are now committed to data-driven decision-making, making use of the increased availability of big data.
This course will equip you with a hybrid skill set that combines quantitative, computing and analytical skills with an understanding of health and wellbeing research and enquiry.
This MRes also equips you to go into further study at PhD level.
Year 1
Semester 1
Compulsory units
Semester 2
You’ll choose one of Advanced Qualitative Methods or Advanced Quantitative Methods (you will study the one you don’t choose in this semester during Year 2 Semester 2).
Compulsory units
Optional units
Year 2
Semester 1
Compulsory units
Semester 2
You’ll choose the remaining option of Advanced Qualitative Methods or Advanced Quantitative Methods (the one you didn’t study in Year 1 Semester 2) plus 10 credits of optional units.
Compulsory units
Optional units
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Tue 14 Jan 2025