University of Oxford: Social Data Science
| Institution | University of Oxford |
|---|---|
| Department | Engineering Science |
| Web | https://www.ox.ac.uk |
| graduate.admissions@admin.ox.ac.uk | |
| Telephone | 01865 270059 |
DPhil
Summary
**The information provided on this page was correct at the time of publication (October 2020). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas**
The multidisciplinary DPhil in Social Data Science provides opportunity for highly qualified students to undertake cutting- edge research focused on using unstructured heterogeneous data about human behaviour in a theoretically informed manner, thereby advancing our understanding of social processes.
Social traces - often generated digitally from, for example, social media, communications platforms, devices, sensors/wearables, and mobile phones - offer a way to accumulate new large-scale data, in addition to existing archives and repositories that have been converted to digital formats. Such data can be put to work helping us understand old and new foundational problems 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 growing field of social data science involves developing the science of these social data: creating viable datasets out of messy, real world data; and developing the tools and techniques to analyse them to tell us something about the world, through explanation, prediction and the testing of interventions. In this way, social data science offers a data science where the data relates to individual and social behaviour and a theoretically informed social science with generation and analysis of real-time transactional data at its centre.
Over the course of the three to four years, you are expected to produce an important and original piece of scholarship that will make a significant contribution to the dynamic area of Social Data Science. On completion, you will have the qualities and transferable skills necessary to excel in teaching, research, policymaking or business.
The DPhil programme at the Oxford Internet Institute (OII) is also available on a part-time basis. The part-time programme is spread over six to eight years of study and research. The part-time degree offers the flexibility of part-time study with the same high standards and requirements as the full-time DPhil programme. The part-time DPhil also provides an excellent opportunity for professionals in high tech industries to undertake rigorous long-term research that may be relevant to their working life. Please visit the department website for further details on part-time doctoral study or contact admissions@oii.ox.ac.uk.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas |
| Location | University of Oxford University Offices Wellington Square Oxford OX1 2JD |
Summary
**The information provided on this page was correct at the time of publication (October 2020). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas**
The multidisciplinary DPhil in Social Data Science provides opportunity for highly qualified students to undertake cutting- edge research focused on using unstructured heterogeneous data about human behaviour in a theoretically informed manner, thereby advancing our understanding of social processes.
Social traces - often generated digitally from, for example, social media, communications platforms, devices, sensors/wearables, and mobile phones - offer a way to accumulate new large-scale data, in addition to existing archives and repositories that have been converted to digital formats. Such data can be put to work helping us understand old and new foundational problems 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 growing field of social data science involves developing the science of these social data: creating viable datasets out of messy, real world data; and developing the tools and techniques to analyse them to tell us something about the world, through explanation, prediction and the testing of interventions. In this way, social data science offers a data science where the data relates to individual and social behaviour and a theoretically informed social science with generation and analysis of real-time transactional data at its centre.
Over the course of the three to four years, you are expected to produce an important and original piece of scholarship that will make a significant contribution to the dynamic area of Social Data Science. On completion, you will have the qualities and transferable skills necessary to excel in teaching, research, policymaking or business.
The DPhil programme at the Oxford Internet Institute (OII) is also available on a part-time basis. The part-time programme is spread over six to eight years of study and research. The part-time degree offers the flexibility of part-time study with the same high standards and requirements as the full-time DPhil programme. The part-time DPhil also provides an excellent opportunity for professionals in high tech industries to undertake rigorous long-term research that may be relevant to their working life. Please visit the department website for further details on part-time doctoral study or contact admissions@oii.ox.ac.uk.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas |
| Location | University of Oxford University Offices Wellington Square Oxford OX1 2JD |
Summary
**The information provided on this page was correct at the time of publication (November 2019). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas**
The multidisciplinary DPhil in Social Data Science provides opportunity for highly qualified students to undertake cutting-edge research focused on unstructured heterogeneous data about human behaviour, thereby informing our understanding of the human world.
Social data (often 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 growing field of social data science involves developing the science of these social data: creating viable datasets out of messy, real world data; and developing the tools and techniques to analyse them to tell us something about the world, through explanation, prediction and the testing of interventions. In this way, social data science offers a data science where the data relates to individual and social behaviour and a social science with generation and analysis of real-time transactional data at its centre.
Over the course of the three to four years, you are expected to produce an important and original piece of scholarship that will make a significant contribution to the dynamic area of Social Data Science. On completion, you will have the qualities and transferable skills necessary to excel in teaching, research, policymaking or business.
The DPhil programme at the OII is also available on a part-time basis. The part-time programme is spread over six to eight years of study and research. The part-time degree offers the flexibility of part-time study with the same high standards and requirements as the full-time DPhil programme. The part-time DPhil also provides an excellent opportunity for professionals in high tech industries to undertake rigorous long-term research that may be relevant to their working life. Please visit the department website for further details on part-time doctoral study or contact the Graduate Studies Assistant.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas |
| Location | University of Oxford University Offices Wellington Square Oxford OX1 2JD |
Summary
**The information provided on this page was correct at the time of publication (November 2019). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas**
The multidisciplinary DPhil in Social Data Science provides opportunity for highly qualified students to undertake cutting-edge research focused on unstructured heterogeneous data about human behaviour, thereby informing our understanding of the human world.
Social data (often 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 growing field of social data science involves developing the science of these social data: creating viable datasets out of messy, real world data; and developing the tools and techniques to analyse them to tell us something about the world, through explanation, prediction and the testing of interventions. In this way, social data science offers a data science where the data relates to individual and social behaviour and a social science with generation and analysis of real-time transactional data at its centre.
Over the course of the three to four years, you are expected to produce an important and original piece of scholarship that will make a significant contribution to the dynamic area of Social Data Science. On completion, you will have the qualities and transferable skills necessary to excel in teaching, research, policymaking or business.
The DPhil programme at the OII is also available on a part-time basis. The part-time programme is spread over six to eight years of study and research. The part-time degree offers the flexibility of part-time study with the same high standards and requirements as the full-time DPhil programme. The part-time DPhil also provides an excellent opportunity for professionals in high tech industries to undertake rigorous long-term research that may be relevant to their working life. Please visit the department website for further details on part-time doctoral study or contact the Graduate Studies Assistant.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas |
| Location | University of Oxford University Offices Wellington Square Oxford OX1 2JD |
MSc
Summary
**The information provided on this page was correct at the time of publication (October 2020). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas**
The multidisciplinary MSc in Social Data Science provides the social and technical expertise needed to analyse unstructured heterogeneous data about human behaviour, thereby informing our 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 growing field of social data science involves developing the science of these social data: creating viable datasets out of messy, real world data; and developing the tools and techniques to analyse them to tell us something about the world, through explanation, prediction and the testing of interventions. In this way, social data science offers a data science where the data relates to individual and social behaviour and a social science with generation and analysis of real-time transactional data at its centre.
Due to the intensive nature of the taught portion of this course, there is no part-time option available. However, students continuing on to doctoral study have the option of taking a part-time DPhil.
| Study type | Taught |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas |
| Location | University of Oxford University Offices Wellington Square Oxford OX1 2JD |
Summary
**The information provided on this page was correct at the time of publication (November 2019). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas**
The multidisciplinary MSc in Social Data Science provides the social and technical expertise needed to analyse unstructured heterogeneous data about human behaviour, thereby informing our 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 growing field of social data science involves developing the science of these social data: creating viable datasets out of messy, real world data; and developing the tools and techniques to analyse them to tell us something about the world, through explanation, prediction and the testing of interventions. In this way, social data science offers a data science where the data relates to individual and social behaviour and a social science with generation and analysis of real-time transactional data at its centre.
You will take a combination of core and option papers and produce a dissertation of up to 15,000 words with the support of a dissertation supervisor. The dissertation provides you the opportunity to apply the methods and approaches you have covered in the other parts of the course and carry out a substantive piece of academic research.
In addition to this full-time taught course, the MSc in Social Data Science is also offered as part of a combined taught and research (1+3) programme, for students wishing to continue on to doctoral study (with the DPhil in Social Data Science commencing in the 2020-21 academic year). Applicants interested in the combined programme should consult the MSc + DPhil in Social Data Science course page, which provides information about the course and details of how to apply.
Due to the intensive nature of the taught portion of this course, there is no part-time option available. However, students continuing on to doctoral study have the option of taking a part-time DPhil.
| Study type | Taught |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas |
| Location | University of Oxford University Offices Wellington Square Oxford OX1 2JD |
Not what you are looking for?
Browse other courses in Computer science, Neural networks, Computer networks, Data analysis, Data communications, Data processing or Social sciences, or search our comprehensive database of postgrad programs.Scholarship Opportunity with Postgrad.com
Are you a PG student at this University or have you applied to study a postgraduate program at a university in Europe? Tell us your plans and qualify for a £500.00 PGS Scholarship.
Click here