Health Data Analytics Graduate Fellowship 2022 for Nigerian Graduates | Up to ₦1,000,000
Olusegun Updated on
Applications are invited from eligible postgraduate students of any accredited University for the Health Data Analytics Graduate Fellowship 2022. The deadline for the submission of applications is January 8, 2021.
Health Data Analytics Graduate Fellowship Eligibility
To be eligible for this fellowship, the individual must fulfill the following requirements;
Must hold an acceptable form of Identification (i.e. an International passport issued by the Nigerian immigration service; Drivers’ license; Voters’ Card, National Identity Number (NIN) card)
Must be a postgraduate student of any accredited University with a valid means of identification
Candidates should hold a Bachelor’s degree of at least a 3.5/5.0 CGPA (Second class upper honours) for Master’s students, and at least a Merit or its equivalent in Master’s, for PhD students.
Fellows are expected to tailor their research towards improving Nigerian health data and data systems around the following key areas:
Population and demographics
Health facility service availability and readiness
Drugs and logistics
The research goals can be pursued using any of the following approaches:
Multi-source data collation
Open data advocacy
Big Data for health
Data demand and use
Statistical modelling of health data
Health Information System interoperability
Geographic Information System (GIS)
Health Data Analytics Graduate Fellowship Benefits
They believe that with an improvement in health data analytics, decision-makers and stakeholders alike would have the tools they need for evidence-based decisions, reducing avenues for assumptions resulting from the lack of data in healthcare delivery and service. The ultimate goal is that we achieve universal health coverage and that there is an improvement in the quality of life of Nigerian citizens.
The benefits of this fellowship include:
Up to ₦1,000,000.00 (per fellow) for postgraduate research (including research expenses e.g. equipment, data collection etc)
Capacity building in research and health data analytics
Possible job opportunities with eHealth4everyone on completion of the fellowship
Access to a network of individuals with shared interests
Mentorship and support from the administering body. This would translate into the provision of reviews and guidance during the course of their research.
Provision of datasets on request.
How to Apply for Health Data Analytics Graduate Fellowship
Please read the eligibility section above carefully before applying
Carefully complete each section of the HDA fellowship form(s) and attach the required documents. These include:
Official transcripts from Academic Institution,
Curriculum Vitae (CVs)
Statement of purpose (maximum of 500 words),
Research proposal/summary including timelines for execution,
Letter of recommendation from Supervisor, Head of Department or Dean;
A previously published paper, if available. This would be an added advantage.
A 2-minute video of the applicant explaining their research proposal and motivation is required.
Applications will be reviewed on a rolling basis and awards will be given on a quarterly basis. For the next batch, Form(s) should be submitted on or before 8th January 2022 by 11:59 pm (WAT)
The HDA fellowship committee will carefully review each proposal and make a final decision. If successful, applicants would be notified (within 8 weeks after the application deadline) that they have been selected to receive the research grant.
Successful applicants must officially “accept” the offer via email within a week.
Applications will be reviewed on a rolling basis and awards will be given on a quarterly basis.
Please note: Funds are to be used for the research work ONLY. Funds would possibly cover textbooks, equipment, publications, and travels (for data collection activities etc). Costs that are indirectly related to the research would need to be approved by the HDA fellowship committee.
In addition, results from all HDA funded research will be completely open for use by the eHealth for Everyone Foundation and others. There will be no copyrighting of research.