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- Social Research Methods with Data Science MSc
Course options
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Qualification
MSc - Master of Science
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Location
UCL (University College London)
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Study mode
Full time
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Start date
22-SEP-25
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Duration
1 Year
Course summary
Social Research Methods with Data Science MSc is designed to cover cutting-edge research methods, with a focus on data science, used in collating evidence for the analysis, critique and evaluation of substantive issues in the social sciences, such as social justice, health disparities, migration, crime, gender, political identity. It can be studied on campus or online, allowing you to engage with the programme from anywhere in the world.
About this degree
Students in this degree will learn data science in-depth and can choose either this as their speciality or a mixed methods approach to their curriculum, including qualitative methods and evidence synthesis. They are encouraged to apply their understanding of methodology to critique existing research, design their own research, carry out their own analysis and communicate clearly with academic specialists and non-specialists. All students gain hands-on experience in a range of methodologies used to study issues of interest in the real world.
The programme is available full-time (one year), part-time (two years) or via flexible/modular study (taking a maximum of five years to complete).
Modules
Tuition fees
- Hong Kong
- Afghanistan
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- Algeria
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- Angola
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- Dominican Republic
- East Timor
- Ecuador
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- England
- Equatorial Guinea
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- Fiji
- Finland
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- Gabon
- Gambia
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- Germany
- Ghana
- Greece
- Grenada
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- Guinea
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- Guyana
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- Iceland
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- Italy
- Ivory Coast
- Jamaica
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- Kiribati
- Korea DPR (North Korea)
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- Latvia
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- Luxembourg
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- Suriname
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£ 33,000per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
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University League Table
9th
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Campus address
UCL (University College London), Gower Street, London, Camden, WC1E 6BT, United Kingdom
Subject rankings
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Subject ranking
7th out of 117 2
10th out of 101
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Entry standards
/ Max 227208 92%7th
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Graduate prospects
/ Max 10093.0 93%16th
9 -
Student satisfaction
/ Max 42.88 72%97th
51 -
Entry standards
/ Max 206183 89%5th
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Graduate prospects
/ Max 10082.0 82%4th
1 -
Student satisfaction
/ Max 43.03 76%44th
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