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The multidisciplinary DPhil in Social Data Science provides the social and technical expertise needed to analyse unstructured heterogeneous data about human behaviour, thereby informing understanding of the human world. Social data generated digitally (... Read more
The multidisciplinary DPhil in Social Data Science provides the social and technical expertise needed to analyse unstructured heterogeneous data about human behaviour, thereby informing understanding of the human world. Social data generated digitally (from, for example, social media, communications platforms, Internet of Things (IoT) devices, sensors/wearables, and mobile phones) offer a way to accumulate new large-scale data, in addition to existing data that have been converted to digital formats. These data can be put to work helping us understand big issues of crucial interest to the social sciences, industry, and policy-makers including social, economic and political behaviour, interpersonal relationships, market design, group formation, identity, international movement, ethics and responsible ways to enhance the social value of data, and many other topics.
The multidisciplinary DPhil in Social Data Science provides the social and technical expertise needed to analyse unstructured heterogeneous data about human behaviour, thereby informing understanding of the human world. Social data generated digitally (... Read more
The multidisciplinary DPhil in Social Data Science provides the social and technical expertise needed to analyse unstructured heterogeneous data about human behaviour, thereby informing understanding of the human world. Social data generated digitally (from, for example, social media, communications platforms, Internet of Things (IoT) devices, sensors/wearables, and mobile phones) offer a way to accumulate new large-scale data, in addition to existing data that have been converted to digital formats. These data can be put to work helping us understand big issues of crucial interest to the social sciences, industry, and policy-makers including social, economic and political behaviour, interpersonal relationships, market design, group formation, identity, international movement, ethics and responsible ways to enhance the social value of data, and many other topics.
A first-class or strong upper second-class undergraduate degree with honours (or equivalent international qualifications), as a minimum, in any subject.
3 Years
Jan-2000
Tuition fees
Domestic Students
34,815 GBP
-
International Students
74,730 GBP
-
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
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DPhil in Social Data Science - 36 months
Wellington Square, Oxford, GB, Oxford, United Kingdom
# 5QS Subject Rankings
36 monthsProgram duration
74,730 GBPTuition Fee/year
Computer Science and Information SystemsMain Subject Area
Program overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
PHD
The multidisciplinary DPhil in Social Data Science provides the social and technical expertise needed to analyse unstructured heterogeneous data about human behaviour, thereby informing understanding of the human world. Social data generated digitally (...
Read more
The multidisciplinary DPhil in Social Data Science provides the social and technical expertise needed to analyse unstructured heterogeneous data about human behaviour, thereby informing understanding of the human world. Social data generated digitally (from, for example, social media, communications platforms, Internet of Things (IoT) devices, sensors/wearables, and mobile phones) offer a way to accumulate new large-scale data, in addition to existing data that have been converted to digital formats. These data can be put to work helping us understand big issues of crucial interest to the social sciences, industry, and policy-makers including social, economic and political behaviour, interpersonal relationships, market design, group formation, identity, international movement, ethics and responsible ways to enhance the social value of data, and many other topics.
Read lessProgram overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
PHD
The multidisciplinary DPhil in Social Data Science provides the social and technical expertise needed to analyse unstructured heterogeneous data about human behaviour, thereby informing understanding of the human world. Social data generated digitally (...
Read more
The multidisciplinary DPhil in Social Data Science provides the social and technical expertise needed to analyse unstructured heterogeneous data about human behaviour, thereby informing understanding of the human world. Social data generated digitally (from, for example, social media, communications platforms, Internet of Things (IoT) devices, sensors/wearables, and mobile phones) offer a way to accumulate new large-scale data, in addition to existing data that have been converted to digital formats. These data can be put to work helping us understand big issues of crucial interest to the social sciences, industry, and policy-makers including social, economic and political behaviour, interpersonal relationships, market design, group formation, identity, international movement, ethics and responsible ways to enhance the social value of data, and many other topics.
Read lessAdmission Requirements
A first-class or strong upper second-class undergraduate degree with honours (or equivalent international qualifications), as a minimum, in any subject.
Tuition fees
Domestic Students
International Students
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
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QS subject rankings
Subject: Computer Science and Information Systems
Ranking criteria
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History and English
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