PostgraduateFull-time

Digital Humanities (Data Science) (MSc)

Level
Postgraduate
Duration
1 year
Mode
Full-time
Subject
Engineering
Location
United Kingdom
Next intake
SEP 2026

Overview

On this digital humanities course, you'll develop the skills to step into the world of data science while using your humanities or social sciences background to make sustained arguments. You'll learn how to embed justice-led, climate-orientated and unbiased ways of working, elevating your capacity for future employment or further study. This innovative digital humanities masters degree is for humanities and social science graduates looking to combine critical humanities thinking with data science skills and methods. You'll develop core skills in data analysis, management, harmonisation and visualisation. You'll explore evolving relationships between humans, data and technology, and experiment with new ideas about data science, justice and society. You'll also learn how to combine data science and humanities to create an impact in a range of industries that use digital methods for data-driven work. As a master's student on this humanities data science course, you'll benefit from: dedica

Entry requirements

Degree2:2 · Subjects: humanities or non-numerate social science subject · or above

English language requirements

IELTS6.5 overall, no part below 6

IELTS: overall 6.5; reading 6.0; writing 6.0; speaking 6.0; listening 6.0

Fees

International students: £25,400 per year

UK students: £12,400 per year

UK/Home: £12,400 per year

International: £25,400 per year

Start dates

September 2026

Application deadline

Application deadlines UK students The deadline to apply for this course is midday UK time.

Campus

  • Avenue, Southampton, United Kingdom
East MidlandsEast of EnglandLondonNorth EastNorth WestNorthern IrelandScotlandSouth EastSouth WestWalesWest MidlandsYorkshire and the HumberUniversity of Southampton

Where you will study

Southampton, South East, United Kingdom

Study in SouthamptonSouth East

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TuitionGBP 25,400/yr
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