Scholarships Merit-based
University of Liverpool

Health Data Science Scholarships

View relevant masters
Specific discipline
Disciplines
10850 GBP
Grant
United Kingdom
Location
Not specified
Application deadline

About

The University of Liverpool is able to offer a range of scholarships and awards to Home, EU and international students. 

If you are planning to undertake master's study you may need to seek financial support from a variety of sources, such as loans or scholarships.

Overview

Scholarship type

Merit based

Number of scholarships to award

Multiple

Grant

£10,850

Scholarship coverage

  • tuition fee reduction

Description

A small number of scholarships covering the tuition fees for the MSc Health Data Science, are available for students starting the master's programme.

Benefits

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.

Eligibility

  • 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.

Scholarship requirements

Disciplines

Health Sciences

Locations

United Kingdom

Nationality

226 nationalities

Study experience required

Bachelor

Age

Unknown

Application

Application deadline

Not specified

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.

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