About the MSc Modelling for Global Health course
The MSc in Modelling for Global Health will provide interdisciplinary content on:
- Health evidence to inform the modelling and
- Policy processes to inform decisions
You will complete a series of compulsory core modules in Michaelmas Term, which provide the required background knowledge. All students will be able to access the full range of optional modules offered in Hilary Term. More information on the course can be found on the University course webpage.
During your third term (Trinity Term), you will embark on an eight week funded placement that will involve participation in a global health project in (or related to) a resource limited setting.
You could be placed in a; field site, laboratories, international NGO/policymaking institutions, industrial setting or academic research groups.
The placement will call upon the skills and topics you will have covered during the first two terms of the course and will be linked to your final dissertation.
The course will encompass students with a spectrum of previous experience from recent graduates hoping to pursue a research career to experienced professionals seeking professional development. Recent graduates would most likely be looking to embark on a career in modelling in the global health space. This would also apply to those more experienced professionals from the STEM disciplines of mathematics, statistics, economics, computer science, engineering etc.
Graduates from this programme would be highly employable with demand for these skills spanning academia, industry, governmental, non- governmental and consulting sectors. For those experienced professionals from the bio-medical and health policy and governance fields, we would expect this training to support evidence-based policymaking to enhance their impact and professional development
You should be able to demonstrate quantitative competence (evidenced by degree level qualifications in a relevant subject) and an interest in global health in resource limited contexts, either through previous study, research or other in situ professional experience. One of the key aims of the course is to build modelling capacity beyond groups already well-established in the global north, and with this in mind, we anticipate admitting a geographically diverse cohort. Additionally, with interdisciplinarity inherent within modelling, which combines mathematics, statistics and computing, we expect the cohort to bring together a mix of students reflecting these proficiencies.
Fees and Funding
All information can be found on the Graduate Admissions website. Confirmed changes in fees and funding eligibility can also be found on the University fees and funding webpage.
You will be automatically considered for the majority of Oxford scholarships, if you fulfil the eligibility criteria and submit your graduate application by the relevant January deadline. Most scholarships are awarded on the basis of academic merit and/or potential.
A list of available scholarships can be found on the University page on fees, funding and scholarships search, but you are encouraged to undertake your own research into the range of scholarships and other funding which you may be eligible.
You can also download our list of scholarships available to MSc students (.xlsx, updated January 2021)
If you need more information, visit the University course pages for further details about the course and details on how to apply.
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