University College London
Population Health Sciences (Data Science)
Typical offer rate
63–73%
moderate entry
Typical entry
ABB
Grad employment
75%
15 months after
In professional roles
100%
Median grad salary
£32,000
15 months after
UCL's population health sciences (data science) programme studies the patterns, determinants and outcomes of health and disease across populations, with a specialism in the statistical and computational methods of data science. The data science strand equips students to work with large health datasets. Offers go to a fair share of those who meet the grades. Offers are made around ABB at A-level.
How hard is it to get in?
The typical applicant to Population Health Sciences (Data Science) at University College London has a 63–73% chance of an offer, moderate by UK standards. Most offers are made around ABB at A-level. That baseline is course-typical. Your own chance depends on your grades, subjects and the rest of your profile.
See your personalised chances
Unimetrica estimates your individual offer likelihood for this course from your predicted grades and profile. It shows how it fits into your best five UCAS choices.
Estimate my chancesEntry requirements
- Typical A-level grades: ABB
- UCAS tariff: 128–128 points
About University College London
University College London was the first university in England to admit students regardless of religion and among the first to admit women, on its Bloomsbury campus in central London.
Full details and how to apply are on the university's official course page: University College London · Population Health Sciences (Data Science)
Offer rate and graduate-outcome figures are course-typical baselines derived from UK admissions and HESA data; they are estimates, not guarantees. Your personalised offer likelihood is calculated in the Unimetrica app.