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University of Liverpool 2024 Health Data Science MSc Scholarships

At least two scholarships covering the tuition fees for the MSc Health Data Science, up to a maximum amount of £10,850, are available for students starting the master's programme in the academic year 2023/24.

About University of Liverpool

The University of Liverpool is a public university based in the city of Liverpool, England. Founded as a college in 1881, it gained its royal charter in 1903 with the ability to award degrees and is also known to be one of the six original "red brick" civic universities. It comprises three faculties organised into 35 departments and schools. It is a founding member of the Russell Group of research-intensive universities, the N8 Group for research collaboration and the University Management school is AACSB accredited.... continue reading

University of Liverpool


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University of Liverpool Masters Scholarship


Aim and Benefits of University of Liverpool Masters Scholarship

For UK students, the tuition fees of £10,850 are being paid by the scholarship. For international students, tuition fees are partially being paid by the scholarship, to a maximum of £10,850.


University of Liverpool Masters Scholarship Courses


Requirements for University of Liverpool Masters Scholarship Qualification

To be eligible for these scholarships, you must be awarded a place on the MSc Health Data Science programme at the University of Liverpool. You must hold, or be on track to obtain, at least a high 2:1 (65+%) in your undergraduate degree, including marks of 60+% in modules relevant to the MSc programme. Work experience relevant to Data Science (paid, internship, shadowing or voluntary positions) would be advantageous.



Application Deadline

Not Specified


How to Apply

Once you have secured a place on the MSc Health Data Science at the University of Liverpool, submit your CV, and a brief supporting statement (no longer than 750 words), which should outline (1) why you should receive a scholarship to study on this programme, (2) your past achievements in academic and professional activities relevant to the MSc programme, and (3) your data science experience to date and any future career plans to Prof Ruwanthi Kolamunnage-Dona ([email protected]).

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