About the course

Data science skills are now in huge demand across every field of science from particle physics to ecology, from drug design to climate change.

　　This course will equip you with the skills needed to solve data science questions in different fields of science, and to be agile enough to adapt to new fields and challenges as economic and scientific demands change.

　　You'll concentrate on the skills which data scientists apply on a daily basis to perform data analyses and to rigorously evaluate the results of those analyses, rather than focussing on theoretical bases or algorithmic structure. This approach will equip you with the skills to succeed even if you don't come from such a formal mathematical or computational background. Scholarships - View all scholarships Internships

　　

Start dates and prices

Course fees are indicative and should be used as a guide. Speak to a counsellor to get an accurate price.

　　Duration: 1 Year(s)Fees: Not available

Intake	Location
Semester 1 (September), 2024	York
Semester 1 (September), 2025	York

　　

How to apply

Entry requirements for University of York

2:1 or above in Physics, Chemistry, Biology, Environment, Healthcare, Mathematics, Computer Science or another numerical science

　　IELTS - 6.0, with a minimum of 6.0 in Writing and no less than 5.5 in all other components

　　TOEFL - 79, with a minimum of 17 in Listening, 18 in Reading, 20 in Speaking and 21 in Writing

　　

English language requirements

　　6.0

　　Overall IELTS band score

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　　Practice and prepare

　　TOEFL Internet based overall score: 79.0

　　

Application deadline:

This date isn’t available – speak to an IDP counsellor to get detailed information.

　　

Further information

Career outcomesIf you aren’t eligible for the above entry requirements, you might want to explore pathway options at University of York. If you want to find out more, please speak to our counsellors.

　　Pathway options to study at this institution

　　

Reviews and rankings

World ranking

　　147th / 1250

　　THE World ranking17th / 130

　　Complete University guide

　　

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