About the course
The combined multidisciplinary MSc + 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 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.
During your full-time MSc year, 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.
Please note that the MSc component is also offered separately as the MSc in Social Data Science. Students admitted directly to the MSc + DPhil in Social Data Science will need to meet the normal admissions requirements and any conditions set to progress to the DPhil in Social Data Science.
It is possible to study the DPhil component of the combined programme on either a full-time or part-time basis. Over the course of the full-time DPhil component 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 part-time version of the DPhil component has the same high standards and requirements as the full-time version, but is spread over 6-8 years. Please visit the department website for further details on part-time doctoral study or contact the department using the details provided under Further information and enquiries.
The allocation of graduate supervision for this course is the responsibility of the Oxford Internet Institute and it is not always possible to accommodate the preferences of incoming graduate students to work with a particular member of staff. Supervision for the MSc in Social Data Science spans multiple departments (a full list of faculty members eligible to supervise students for this programme can be found on the department's website - see Further information and enquiries). A supervisor may be found outside the list on the course webpage, and co-supervision is also possible.
Employers recognise the value of a degree from the University of Oxford, and graduates from our existing programmes have secured excellent positions in industry, government, NGOs, or have gone on to pursue doctoral studies at top universities. For example, non-academic destinations of recent graduates have included large Internet companies such as Google or Facebook, smaller start-ups like Academia.edu, as well as regulatory positions and consultancy. OII DPhil alumni who have pursued academic careers have taken up research and teaching positions at the University of Oxford, Cornell University, University of Hong Kong, Imperial College London, Durham University, University of New South Wales, Coventry University, University of Leicester, University of Ottawa, and Michigan State University.
The OII Alumni Wall features interviews from both MSc and DPhil alumni about their time at the Department and career paths after Oxford.
Changes to this course and your supervision
The University will seek to deliver this course in accordance with the description set out in this course page. However, there may be situations in which it is desirable or necessary for the University to make changes in course provision, either before or after registration. In certain circumstances, for example due to visa difficulties or because the health needs of students cannot be met, it may be necessary to make adjustments to course requirements for international study.
Where possible your academic supervisor will not change for the duration of your course. However, it may be necessary to assign a new academic supervisor during the course of study or before registration for reasons which might include sabbatical leave, parental leave or change in employment.
For further information, please see our page on changes to courses.
Other courses you may wish to consider
If you're thinking about applying for this course, you may also wish to consider the courses listed below. These courses may have been suggested due to their similarity with this course, or because they are offered by the same department or faculty.
Courses suggested by the institute
All graduate courses offered by the Oxford Internet Institute
Entry requirements for entry in 2020-21
Proven and potential academic excellence
As a minimum, applicants should hold or be predicted to achieve the equivalent of the following UK qualifications:
- a first-class undergraduate degree with honours in any subject.
In exceptional circumstances, applicants with a distinguished record of workplace achievement since graduation may be accepted with lower grades at first degree level. We nevertheless strongly encourage any applicants from industry to include at least one reference from an academic or someone in academic-related field.
For applicants with a degree from the USA, the minimum GPA sought is 3.7 out of 4.0.
If your degree is not from the UK or another country specified above, visit our International Qualifications page for guidance on the qualifications and grades that would usually be considered to meet the University’s minimum entry requirements.
Students admitted to the combined MSc + DPhil programme will need to meet the normal admissions requirements as well as the usual conditions for progression to the DPhil, namely an average mark of at least 65% on the MSc component.
GRE General Test scores
No Graduate Record Examination (GRE) or GMAT scores are sought.
Other qualifications, evidence of excellence and relevant experience
Applicants are normally expected to demonstrate quantitative aptitude or experience in introductory calculus and linear algebra, equivalent to, for example:
- A Level Mathematics
- Mathematical Studies SL from the International Baccalaureate Diploma Programme
- or Advanced Placement (AP) Calculus AB.
Applicants may demonstrate this aptitude/experience in a variety of ways including:
- undergraduate transcripts with a strong pass for Probability, Statistics, Linear Algebra, and/or Calculus;
- an A or A* rating for A Level Mathematics;
- a score of 4 or 5 on the AP Calculus AB or BC exam; or
- evidence of the successful completion of online courses with similar content.
Applicants are not expected to have published academic work previously, although publication may help the assessors judge your writing ability and thus could help your application.
In most cases, Social Data Science will require the use of statistical or programmatic approaches. The OII teaches primarily in the Python programming language. Students in our MSc program will be taught in Python alongside other languages in specific circumstances where applicable. Applicants are not expected to have extensive programming skills in Python but it is strongly encouraged for applicants to have at least a working familiarity with the basics of programming.
Academic research related to data science or experience working in related businesses is not required, but may be an advantage.
English language requirement
This course requires proficiency in English at the University's higher level. If your first language is not English, you may need to provide evidence that you meet this requirement.
Detailed requirements - higher level
The minimum scores required to meet the University's higher level are:
|IELTS Academic||7.5||Minimum 7.0 per component|
Minimum component scores:
|Cambridge Certificate of Advanced English (CAE) or C1 Advanced||191||Minimum 185 per component|
|Cambridge Certificate of Proficiency in English (CPE) or C2 Proficiency||191||Minimum 185 per component|
Your test must have been taken no more than two years before the start date of your course. For more information about the English language test requirement, visit the Application Guide.
You will be required to supply supporting documents with your application, including references and an official transcript. See 'How to apply' for instructions on the documents you will need and how these will be assessed.
Performance at interview
Interviews are held as part of the admissions process. If a student clearly exceeds all the admission criteria and their proposed research is innovative and can be supervised by faculty of the programme then they may be made an offer without an interview.
If an interview is required, it is normally held three to six weeks after the application deadline. There is usually only one interview held, which lasts up to 30 minutes and can be held via Skype or telephone. You will be asked questions about research interests, future career plans, and why you think this degree programme is the best way to continue your studies.
Any offer of a place is dependent on the University’s ability to provide the appropriate supervision for your chosen area of work. Please refer to the ‘About’ section of this page for more information about the provision of supervision for this course.
How your application is assessed
Your application will be assessed purely on academic merit and potential, according to the published entry requirements for the course. Students are selected for admission without regard to gender, marital or civil partnership status, disability, race, nationality, ethnic origin, religion or belief, sexual orientation, age or social background. Whether you have secured funding will not be taken into consideration when your application is assessed.
Admissions panels and assessors
All recommendations to admit a student involve the judgement of at least two members of the academic staff with relevant experience and expertise, and must also be approved by the Director of Graduate Studies or Admissions Committee (or equivalent within the department).
Admissions panels or committees will always include at least one member of academic staff who has undertaken appropriate training.
After an offer is made
If you receive an offer of a place at Oxford, you will be required to meet the following requirements:
If you are offered a place, you will be required to complete a Financial Declaration in order to meet your financial condition of admission.
Disclosure of criminal convictions
In accordance with the University’s obligations towards students and staff, we will ask you to declare any relevant, unspent criminal convictions before you can take up a place at Oxford.
The MSc + DPhil in Social Data Science is offered by the Oxford Internet Institute (OII) in partnership with Statistics, Sociology, Engineering Science, Linguistics and other departments. The OII faculty works at the cutting-edge of their fields, and this innovative research is fully reflected in their course teaching. The department prides itself on providing a stimulating and supportive environment in which all students can flourish. As a fully multidisciplinary department, the OII offers you the opportunity to study academic, practical and policy-related issues that can only be understood by drawing on contributions from across many different fields.
During the DPhil portion of this combined degree, in addition to the formal requirements of the DPhil thesis, all OII doctoral students receive regular training in the key professional skills necessary to support their research and future employment. These range from classes on specific tools or skills to more generic training such as presentation skills, academic writing and peer review. You will attend a weekly seminar (normally convened by the DPhil Programme Director) in which you will present your own work for critique, and critique the work of your peers. The OII also provides opportunities for DPhil students to gain teaching experience through mentored assistantship roles in some of its core MSc courses.
The OII's busy calendar of seminars and events showcases many of the most noteworthy people in Internet research, innovation and policy, allowing students to engage with the cutting-edge of scholarship and debates around the Internet.
OII students also take full advantage of the substantial resources available at the University of Oxford, including world-leading research facilities and libraries, and a buzzing student scene. The departmental library provides students access to a range of resources including the texts required for the degree. Other University libraries provide valuable additional resources of which many students choose to take advantage.
There are over 1,100 full or partial graduate scholarships available across the University. You will be automatically considered for over two thirds of Oxford scholarships, if you fulfil the eligibility criteria and submit your graduate application by the relevant January deadline, with most scholarships awarded on the basis of academic merit and/or potential. To help identify those scholarships where you will be required to submit an additional application, use the Fees, funding and scholarships search and visit individual college websites using the links provided on our college pages.
Annual fees for entry in 2020-21
During the first year of the course you will be charged course fees at the MSc in Social Data Science fee rate. These fees are shown in the table below.
Annual MSc in Social Data Science (first year) fees for the 2020-21 academic year
Annual Course fees
|Home/EU (including Islands)||£22,050|
You may apply to study the DPhil component of the course on either a full-time or part-time basis. In each subsequent year, you will be charged course fees at the relevant DPhil in Social Data Science fee rate for that year of study. For an indication of costs, the tables below show the annual full-time and part-time DPhil course fees for the 2020-21 academic year.
Annual DPhil in Social Data Science fees for full-time study in the 2020-21 academic year
Annual Course fees
|Home/EU (including Islands)||£11,605|
Annual DPhil in Social Data Science fees for part-time study in the 2020-21 academic year
Annual Course fees
|Home/EU (including Islands)||£5,805|
Course fees are payable each year, for the duration of your fee liability (your fee liability is the length of time for which you are required to pay course fees). For courses lasting longer than one year, please be aware that fees will usually increase annually. For details, please see our guidance on likely increases to fees and charges.
Course fees cover your teaching as well as other academic services and facilities provided to support your studies. Unless specified in the additional information section below, course fees do not cover your accommodation, residential costs or other living costs. They also don’t cover any additional costs and charges that are outlined in the additional information below.
Following the period of fee liability, you may also be required to pay a University continuation charge and a college continuation charge. The University and college continuation charges are shown on the Continuation charges page.
For more information about course fees and fee liability, please see the Fees section of this website. EU applicants should refer to our dedicated webpage for details of the implications of the UK’s plans to leave the European Union.
There are no compulsory elements of this course that entail additional costs beyond fees and living costs. However, as part of your course requirements, you will need to choose dissertation, project or thesis topics. Please note that, depending on your choice of topic and the research required to complete it, you may incur additional expenses, such as travel expenses, research expenses, and field trips. You will need to meet these additional costs, although you may be able to apply for small grants from your department and/or college to help you cover some of these expenses.
DPhil component (full-time study)
There are no compulsory elements of this programme that entail additional costs beyond fees and living costs. However, please note that, depending on your choice of research topic and the research required to complete it, you may incur additional expenses, such as travel expenses, research expenses, and field trips. You will need to meet these additional costs, although you may be able to apply for small grants from your department and/or college to help you cover some of these expenses.
DPhil component (part-time study)
Please note that you are required to attend in Oxford for a minimum of 30 days each year, and you may incur additional travel and accommodation expenses for this. Also, depending on your choice of research topic and the research required to complete it, you may incur further additional expenses, such as travel expenses, research expenses, and field trips. You will need to meet these additional costs, although you may be able to apply for small grants from your department and/or college to help you cover some of these expenses.
Whilst many graduate students do undertake employment to support their studies, please remember that it is not recommended that students studying the MSc component of the combined programme take on even part-time employment during term-time. Within these limitations, some of the OII's existing MSc students have been employed on a short-term basis as Research Assistants on grant-funded projects, but only with the agreement of their supervisor, the MSc Course Convener and the Director of Graduate Studies.
Please remember that students who progress to the full-time arrangement of the OII's DPhil programme are subject to limits on the number of hours that may be worked each week. Part-time student are not subject to these limitations. Within these limitations, many of the OII's existing full-time DPhil students have been employed on a short or long-term basis as Research Assistants on grant-funded projects gaining valuable research experience. The OII also offers Teaching Assistant positions on the MSc degree for DPhil students who can display the appropriate skills. In addition, there are employment opportunities within the University (such as teaching, translation, and research assistance) as well as within the OII.
For full information on employment whilst on course, please see the University's paid work guidelines for Oxford graduate students.
In addition to your course fees, you will need to ensure that you have adequate funds to support your living costs for the duration of your course.
For the 2020-21 academic year, the range of likely living costs for full-time study is between c. £1,135 and £1,650 for each month spent in Oxford. Full information, including a breakdown of likely living costs in Oxford for items such as food, accommodation and study costs, is available on our living costs page. When planning your finances for any future years of study in Oxford beyond 2020-21, you should allow for an estimated increase in living expenses of 3% each year.
If you are studying part-time your living costs may vary depending on your personal circumstances but you must still ensure that you will have sufficient funding to meet these costs for the duration of your course.
The following colleges accept students for for MSc (full time) + DPhil (full time) in Social Data Science:
Full-time plus part-time study
The following colleges accept students for MSc (full time) + DPhil (part time) in Social Data Science:
How to apply
It is not necessary to contact academic staff before you apply.
The set of documents you should send with your application to this course comprises the following:
Your transcripts should give detailed information of the individual grades received in your university-level qualifications to date. You should only upload official documents issued by your institution and any transcript not in English should be accompanied by a certified translation.
More information about the transcript requirement is available in the Application Guide.
A CV/résumé is compulsory for all applications. Most applicants choose to submit a document of one to two pages highlighting their academic achievements and any relevant professional experience.
Personal statement and research proposal:
Refer to OII course webpage
The MSc in Social Data Science is evaluated on the basis of the personal statement alone. The DPhil application is assessed with a research proposal of not more than 2,500 words. The combined MSc+DPhil application thus requires the submission of both of these documents as one combined PDF file.
Please follow the directions on the OII course webpage (which can be found on the Overview tab under the How to apply heading) to complete your personal statement. You will be directed to complete an online form, which will generate a PDF. You must then download this PDF, merge it with your research proposal and upload the combined file to your application. Your statement should be written in English.
Your statement will be assessed for:
- evidence of aptitude using social science theory
- evidence of aptitude using mathematical and statistical techniques for the analysis of empirical data
- evidence of aptitude meeting the minimal programming requirements.
The research proposal should be merged with the personal statement and uploaded as one combined PDF file during the application process. A coherent thesis proposal is required in an area of study covered by at least one member of the research staff within the Social Data Science degree. The proposal should be submitted in English only. The word count does not need to include any bibliography or brief footnotes.
Your research proposal will be assessed for:
- the coherence of your proposal;
- the relevance of the topic as it relates to the research of the Oxford Internet Institute and collaborating department;
- the appropriateness of the methods and research design as related to the research question(s); and
- the overall quality of the project proposed.
It is normal for your ideas to change in some ways as you commence your research and develop your project. However, you should make the best effort you can to demonstrate the extent of your research question, sources and method at this moment.
Your proposal should focus on specific research you propose to undertake rather than personal achievements, interests and aspirations.
One essay of 2,000 words
An academic essay or other writing sample from your most recent qualification, written in English, is required. If you have not previously written on areas closely related to the proposed research topic, you may provide written work on any topic that best demonstrates your academic abilities. The written work does not need to be data science related, but should demonstrate your critical and analytical capabilities and ability to present ideas clearly.
The word count does not need to include any bibliography or brief footnotes. Extracts of the required length that originally come from longer essays are also acceptable.
This will be assessed for:
- a comprehensive understanding of the subject area, including problems and developments in the subject;
- your ability to construct and defend an argument;
- your aptitude for analysis and expression; and
- your ability to present a reasoned case in proficient academic English.
References/letters of recommendation:
Three overall, academic and/or professional
Whilst you must register three referees, the department may start the assessment of your application if two of the three references are submitted by the course deadline and your application is otherwise complete. Please note that you may still be required to ensure your third referee supplies a reference for consideration.
Professional references are acceptable, particularly if you have been out of education for some time, but should focus particularly on your intellectual abilities rather than more narrowly on job performance.
Your references will be assessed for:
- your intellectual ability;
- your academic achievement; and
- your motivation and interest in the course and subject area.
Start or continue an application
Step 1: Read our guide to getting started, which explains how to prepare for and start an application.
Step 2: Check that you meet the Entry requirements and read the How to apply information on this page.
Step 3: Check the deadlines on this page and plan your time to submit your application well in advance.
Step 4: Our Application Guide will help you complete the form. It contains links to FAQs and further help.
Step 5: Submit your application as soon as possible (you can read more information about our deadlines).