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Dphil in Social Data Science (Dphil in Social Data Science)

3 YearsDOCTORATE DEGREE COURSESYEAR

DPhil in Social Data Science About

A DPhil in Social Data Science is a doctoral program that combines expertise in social science theory and methods with advanced computational and data analysis skills. This program is designed to equip students with the knowledge and skills needed to conduct cutting-edge research that addresses important social issues using large and complex data sets.

In a DPhil in Social Data Science program, students typically take courses in social science theory and research methods, as well as computer science, statistics, and data analysis. They may also have the opportunity to specialize in a particular area of social data science, such as computational social science, digital sociology, or data-driven policy analysis.

The research projects undertaken by students in this program typically involve the collection and analysis of large data sets, often using advanced computational techniques such as machine learning and natural language processing. Research topics may range from the study of social networks and online communities to the analysis of social media data and the development of data-driven public policy recommendations.

Graduates of a DPhil in Social Data Science program are well-equipped to pursue careers in academia, government, non-profit organizations, and the private sector. They may work as professors, researchers, analysts, or data scientists, and are in high demand due to their unique combination of social science and computational skills.

Entrance Exam for DPhil in Social Data Science

Most DPhil programs in Social Data Science do not require an entrance exam.
However, some universities may require GRE or GMAT scores.
Additionally, some programs may require applicants to submit a writing sample or statement of purpose.

Admission Process for DPhil in Social Data Science

Application for the entrance exam
Result declaration
Entrance pass scholar calling for the interview and document verification
Provisional registration for pre-Ph.D. course work classes
Coursework classes shall be attended as scheduled by the University
Course work examination
Result declaration of coursework
Submission of synopsis ( 2 spiral bound copies with soft copy of synopsis)
Departmental research committee meeting scheduled by the University
A registration letter shall be issued
Research work started by scholar
6 progress reports shall be submitted
Soft copy thesis submit
plagiarism report check by the university
Finally, after the plagiarism report soft copy thesis shall be sent to experts for evaluation
After the consent of experts pre-submission, one set spiral binding shall be submitted
After the successful presentation of the pre-submission thesis, 3 copies of hard bound thesis shall be submitted
Viva shall be conducted as scheduled by the University, Degree Awarded.

Eligibility Criteria For DPhil in Social Data Science

1	The eligibility criteria for a DPhil in Social Data Science program may vary depending on the university.
2	However, most programs require applicants to have a Master's degree in a related field, such as sociology, political science, economics, or computer science.
3	Some programs may also consider applicants who have a Bachelor's degree with extensive research experience or relevant work experience.

Duration of DPhil in Social Data Science

The duration of a DPhil in a Social Data Science program varies depending on the university and the student's research interests.
However, most programs typically take 3-4 years to complete full-time.

Documents Required For DPhil in Social Data Science

Documents (10th onwards)
Aadhar Card/Pan Card, Caste Certificate
Migration Certificate (Original)
NOC (From Organization/ Institute/ University)
Affidavit (undertaking)
Guide Willing
Assignments
Synopsis (3 copies), Progress Report
Library No Dues
Lab Letter
Thesis Hard copy (Spiral binding)
No Dues, Thesis (6 hard copies)
Affidavit -Submission (on Rs 100 Stamp and Notary Attested)
C.D Soft copies (Thesis & Synopsis)
Conference Certificate - 2
Research Papers -2 (with ISSN No.)
summary (page limit 20-30) -3 Copies
Plagiarism Report Below 10%

Highlights of DPhil in Social Data Science

Here are some highlights of a DPhil in Social Data Science program:

Interdisciplinary approach: Social Data Science is an interdisciplinary field that combines expertise in social science theory and methods with advanced computational and data analysis skills. As such, a DPhil in Social Data Science program brings together scholars from a range of disciplines, including sociology, political science, economics, computer science, and statistics, among others.

Cutting-edge research: The program is designed to equip students with the skills and knowledge necessary to conduct cutting-edge research that addresses important social issues using large and complex data sets. Students learn to apply advanced computational techniques, such as machine learning and natural language processing, to social science research questions.

Flexible curriculum: The program typically offers a flexible curriculum that allows students to tailor their coursework to their specific research interests. Students may specialize in a particular area of social data science, such as computational social science, digital sociology, or data-driven policy analysis.

Research training: The program provides extensive research training, including hands-on experience with data analysis and research design. Students work closely with faculty members on research projects and may have the opportunity to conduct their independent research.

Career opportunities: Graduates of a DPhil in Social Data Science program are well-equipped to pursue careers in academia, government, non-profit organizations, and the private sector. They may work as professors, researchers, analysts, or data scientists, and are in high demand due to their unique combination of social science and computational skills.

Access to data: The program often provides students with access to large and complex data sets from various sources, including social media platforms, government databases, and private sector sources. This allows students to research important social issues that were previously difficult to study due to data constraints.

Collaborative environment: Social Data Science is a collaborative field, and a DPhil in Social Data Science program often provides students with opportunities to collaborate with other scholars from a range of disciplines. This collaborative environment fosters creativity and innovation and allows students to learn from and work with leading scholars in the field.

Selection Criteria for DPhil in Social Data Science

The selection criteria for a DPhil in Social Data Science program may vary depending on the university. However, most programs consider academic records, research experience, potential for success in the program, and fit with the research interests of the faculty members in the program.

How to Apply for DPhil in Social Data Science

To apply for a DPhil in Social Data Science program, applicants typically need to apply to the university's online application system. The application usually requires transcripts, letters of recommendation, a statement of purpose, and a research proposal. Some programs may also require a writing sample.

Application Form for DPhil in Social Data Science

The application form for a DPhil in Social Data Science program can be found on the university's website or through the online application system.
The form typically includes sections for personal information, academic history, research experience, and contact information for referees.
Applicants will also need to pay an application fee.

Application Process For DPhil in Social Data Science

The application process for a DPhil in Social Data Science program typically involves the following steps:

Research programs	Applicants should research various programs and identify those that align with their research interests and career goals.
Prepare application materials	Applicants should prepare all necessary application materials, such as transcripts, letters of recommendation, statement of purpose, research proposal, and writing sample.
Apply	Applicants should submit their application through the university's online application system.
Wait for a decision	Applicants should wait for the university to review their application and make an admission decision.

Fee Structure for DPhil in Social Data Science

The application fee for a DPhil in Social Data Science program may vary depending on the university.

However, most universities charge an application fee of several hundred dollars.

Syllabus of DPhil in Social Data Science

The syllabus for a DPhil in Social Data Science program may vary depending on the university. However, some common courses in the program may include:

Social Science Theory and Research Methods

Statistical Methods for Social Data Science

Computational Social Science

Machine Learning and Natural Language Processing

Data Visualization and Communication

Research Design and Ethics

Data Management and Governance

Job Scope After DPhil in Social Data Science

Graduates of a DPhil in Social Data Science program are in high demand due to their unique combination of social science and computational skills. Some potential jobs for graduates of this program include:

1	Data Scientist
2	Research Scientist
3	Professor
4	Policy Analyst
5	Data Analyst
6	Social Media Analyst
7	Consultant

Career Opportunities After DPhil in Social Data Science

Graduates of a DPhil in Social Data Science program have a range of career opportunities available to them. They can work in academia, government, non-profit organizations, and the private sector. Some potential areas of employment include:

Academic research
Public policy
Social media analysis
Market research
Health care research
Environmental research
Data-driven journalism

DPhil in Social Data Science Top Colleges in India

Some of the top colleges in India offering DPhil in Social Data Science or related programs are:

Indian Institute of Technology Delhi

Indian Institute of Technology Bombay

Indian Institute of Technology Kharagpur

Indian Institute of Technology Madras

Indian Institute of Science Bangalore

Jawaharlal Nehru University

University of Hyderabad

Tata Institute of Social Sciences

Indian Statistical Institute Kolkata

FAQs About Ph.D. Program

Q.1 - What is the procedure for PhD Admission to the University?

ANSWER: - The Ph.D. and M.Phil. programs of prestigious Universities are conducted and guided strictly as per the provisions and regulations dictated by the UGC (Minimum Standards and Procedure for Award of Ph.D./M.Phil. Degrees) (1st Amendment) Regulations, 2018 and subsequent amendments. The entire procedure for admission to the research programs encompasses a Research Entrance Exam (RET) and then an Interview/Viva Voce. The performance of a candidate in the RET is given 70% weightage, and the remaining 30% weightage is given to his/her performance at the Interview.

Q.2 - What are the modes of pursuing M.Phil. & Ph.D. programs at the University?

ANSWER: -Both the full-time and part-time modes are available at the University for pursuing its Ph.D. programs and only the full-time mode is available for the M.Phil. program in the desired subjects/fields. These highly-qualitative and prolific research programs are available in a rather broad range of fields/subjects. At University, the minimum time duration of the M.Phil. and Ph.D. programs is 1.5 Years and 3 Years, respectively, in general.

Q.3 - Are the Ph.D. and M.Phil. Degrees granted by any University valid abroad?

ANSWER: -Yes, of course. If the University is properly recognized under section 2(f) of the UGC Act of 1956 and is a prestigious member of the AIU (the Association of Indian Universities). It is an M.Phil. and Ph.D. degrees granted in various fields/subjects are duly valid across India and the world.

Q.4 - What are the main eligibility criteria for participating in the University Research Entrance Exam (RET)?

ANSWER: -The following are the main eligibility conditions for participating in the RET: - A rigorous Master’s Degree in the proposed subject/field obtained from any recognized university/institution located in India or abroad, with a minimum of 55% marks in aggregate or an equivalent grade. Candidates belonging to SC/ST/OBC/Differently-abled categories are given a 5% relaxation in respect of this eligibility criterion. Candidates with an M.Phil. degree in the proposed field/subject, or have qualified for the UGC (JRF) Examinations/ NET/ SET/ SELT, etc., will be allowed to appear directly for the interview, without appearing in the RET. Impressive academic records, and any prior experience in research work, will be given additional advantages.

Q.5 - What relaxations are granted to the reserved categories for Ph.D.? Admission to the University?

ANSWER: - Candidates belonging to the categories of SC/ST/OBC (Non-Creamy layer)/Differently-Abled, and so on, are given all relaxations prescribed by the Govt. of India and the UGC. These relaxations are provided in the form of 5% reduced marks for them at post-graduation, and also in the minimum qualifying marks at RET. Thus, candidates belonging to these categories only need to score a minimum of 45% marks at RET, to qualify for the final interview.

Q.6 - What will be the pattern of RET?

ANSWER: - The syllabus or pattern of RET consists of subject-specific matters, research methodology, and aptitude (covering logical reasoning, numerical ability, analytical reasoning, statistics, etc.).Thus, RET will contain a total of 70 multiple-choice questions (MCQs).

Q.7 - Are M.Phil. Holders/UGC- NET (including JRF)/ UGC-CSIR NET (including JRF)/ SLET/ GATE exempted from appearing at RET?

ANSWER: - Yes. The holders of M.Phil. degrees in their respective fields/subjects are made exempt from appearing in RET. The same is the situation in cases of aspiring candidates who have qualified exams like UGC-NET (including JRF)/ UGC-CSIR NET (including JRF)/ SLET/ GATE, etc.

Q.8 - How is the application fee paid?

ANSWER: - The Application Fee (i.e. the fee for participating in RET) can be paid online or offline, like the Application Form. Payment Modes: DD (in Favor of the University) / NEFT/ Cash Deposit.

Q.9 - Do working candidates require to obtain NOC from employers for pursuing research at any University?

ANSWER: - Yes, necessarily. Working Professionals who are interested in research at any University are required to obtain the NOC (No Objection Certificate) from their respective employers, to avert any intrusion ever during the entire doctoral course.

Q.10 - Does an M.Phil. holder require to undergo Ph.D. coursework?

ANSWER: - Yes. M.Phil. holders are again required to undergo the coursework in Ph.D. at some Universities. However, their prior knowledge in the field/subject will be very supportive to them for learning and performing efficiently during the Ph.D. program.

Q.11 - Can I pay the yearly program/course fee in installments?

ANSWER: - Yes, you can pay the yearly course fee as many as in two installments, but well within the yearly session.

Q.12 - Does Any University provide any scholarship or stipend to pursuing scholars?

ANSWER: - Yes, of course. Many Universities offer scholarships as well as stipends to meritorious and talented candidates who undertake research studies at the University. Scholarships are granted to those candidates who come under the top 21 by scoring higher marks in RET and interviews. And, stipends are provided to those scholars who also give lectures to UG or PG students at the University, in addition to doing their Ph.D. coursework. The amount of the monthly stipend will be commensurate with the candidate’s qualifications and capabilities and may go up to Rs. 20,000.

Q.13 - What other facilities are provided to research scholars at the University Campus?

ANSWER: - Well-established and prestigious universities offer all necessary and constructive resources, amenities, and facilities to research scholars in various streams/subjects. These facilities include the following - spacious and peaceful study rooms, erudite and well-experienced academicians and research experts, Wi-Fi and diverse IT devices, state-of-the-art laboratories, well-stocked libraries, lavish R&D amenities, separate amenities for lodging and foods for male and female candidates, peaceful and constructive environment within the university campus, and many other comforting and convenient facilities and services.