PhD Statistics And Data Science is a minimum 3-year doctoral course in Statistics And Data Science that primarily deals with data collection, data analysis, data interpretation, and data presentation. It is considered to be an ideal course for statisticians interested in carrying out deep research and mentoring fellowships regularly to expand their knowledge base.
Candidates with a Master’s degree in Mathematics or Statistics And Data Science with an aggregate of more than 55% are eligible to apply for the PhD Statistics And Data Science course. The admission to the PhD Statistics And Data Science course may be merit-based or entrance exam-based depending on the policy of the university/institute offering the course. BHU UET, UGC-NET, CSIR-NET, and GATE are some of the exams whose score is considered for admission to the course by some institutes.
Some top PhD Statistics And Data Science institutes are the University of Hyderabad, Pondicherry University, Annamalai University, etc. The average annual fees for a PhD Statistics And Data Science course in India may range from INR 10,000 to INR 1,50,000 depending on the amenities provided by the institute.
Aspirants with PhD Statistics And Data Science degrees may find opportunities with different job profiles like Data Analyst, Data Interpreter, Professor, Research Scholar, etc. They may be hired for data analysis and research by economic firms, social research institutes, businesses, commerce, and consulting firms. The average annual salary of a candidate with a PhD Statistics And Data Science degree in India is in the range of INR 3,00,000 to INR 8,00,000 depending on the skill set of the candidate. Some of the top companies hiring candidates with a PhD Statistics And Data Science degree are Ford Global Business Services, GE Corporate, Indian Institute of Management Udaipur, Barclays, Ahmedabad University, etc.
Course Level | Doctorate |
Full-Form | Doctor of Philosophy in Statistics And Data Science |
Duration | 3 years |
Examination Type | Semester-based |
Eligibility | Post-graduation (M. Stat. / M.A. / M.Sc.) with a minimum of 55% marks. |
Admission process | Merit-based / Entrance Exam |
Average Annual Course Fee | Updated Soon |
Average Salary | INR 3,00,000 - INR 8,00,000 per annum |
Top Recruiting Companies | Blue Ocean Marketing, BNP Paribas India, Deloitte Consulting, TCS Innovations Labs, Nielsen Company, Genpact etc. |
Job Profiles | Econometrician, Article Writer, Enumerator, Lecturer, Assistant Professor, Biostatistician, Data Analyst, etc. |
Area of Employment | Ecological, Medical, Census, Election, Crime, Education, Film, Cricket, Tourism, Insurance, Banks etc. |
IIT JAM
GPAT
CUCET
VITMEE
Merit-Based Admission
Most private colleges that offer PhD Statistics And Data Science courses usually admit students based on the marks secured at the master’s/ graduate degree. Besides that, these colleges may conduct a Personal Interview or a Written Test to further know the candidate’s skills.
Entrance-Based Admission
Most of the colleges and universities offer admission to PhD Statistics And Data Science on the basis of entrance exams like GATE, UGC NET, BHU UET etc.
The step-by-step procedure for entrance-based admission is as follows.
Step 1: Students have to register on the official website.
Step 2: Fill the application form with correct details.
Step 3: After examination, a cutoff list will be released on the website. Seats will then be allotted to candidates based on their scores in the entrance exam.
Step 4: Some colleges also conduct personal interviews and group discussion for admission to this course.
Step 5: On meeting all the eligibility criteria, a student will then be offered admission to the course.
The eligibility criteria for the PhD Statistics And Data Science course may vary from college to college. However, the common criteria for the candidates to be eligible for the course are listed below:
The candidate must have completed an M.Stat./M.Sc./M.A degree with Mathematics or Statistics And Data Science as major subjects from a recognized university.
The candidate must have scored a minimum of 55% in the Master’s examination.
As per the decision of the UGC & Government of India, a 5% relaxation in marks is given to the candidates of SC/ST/OBC and Differently-Abled categories.
Applicants clearing the CSIR-NET/UGC-NET/SLET/JRF/GATE in relevant subjects are not required to take the entrance exam for admission.
The duration of a PhD program in Statistics and Data Science varies depending on the institution and the individual student's progress but typically takes four to six years to complete. Students are typically required to complete coursework, pass comprehensive exams, conduct original research, and write and defend a dissertation. |
Admissions committees typically consider several factors when selecting candidates for a PhD program in Statistics and Data Science, including academic performance, relevant coursework and research experience, letters of recommendation, the statement of purpose, and the writing sample.
Some programs may also consider GRE scores or other standardized test scores.
1 | To apply for a PhD program in Statistics and Data Science, applicants typically need to submit an online application through the institution's admissions website. |
2 | The application will typically require official transcripts, letters of recommendation, a statement of purpose, and/or a writing sample. |
3 | Some programs may also require GRE scores or other standardized test scores. |
4 | It's important to check the specific application requirements for each program and to submit all materials before the application deadline. |
The application form for a PhD program in Statistics and Data Science is typically available online on the institution's website.
Applicants will need to provide personal information, academic history, and other details required by the institution.
The application process typically involves the following steps:
The application fee for a PhD program in Statistics and Data Science varies by institution and can range from Updated Soon. However, some institutions may waive the application fee for certain applicants. |
The syllabus for a PhD program in Statistics and Data Science varies by institution but typically includes advanced coursework in statistical theory, data analysis, and computer science.
Students will also have the opportunity to specialize in a particular area of statistics or data science, such as machine learning, Bayesian statistics, or experimental design.
In addition to coursework, students are required to conduct original research and write a dissertation.
Academic Researcher: With a PhD, you can pursue a career as a researcher in academia. You may work in universities, research institutes, or governmental agencies, conducting original research in statistical theory, methods, or applications. This could involve publishing papers, securing research grants, and mentoring students.
University Professor: Many PhD holders go on to become professors in statistics or data science departments. As a professor, you would teach courses, advise graduate students, and conduct research. This career path allows you to make significant contributions to the field through both teaching and research.
Data Scientist: Data scientists are in high demand across various industries, including technology, finance, healthcare, and e-commerce. With a PhD in Statistics and Data Science, you would have the advanced analytical skills needed to extract insights from large datasets, build predictive models, and drive data-driven decision-making within organizations.
Statistical Consultant: As a statistical consultant, you would work with clients from different industries to help them design experiments, analyze data, and interpret results. This could involve providing statistical expertise to researchers, businesses, or government agencies on specific projects or problems.
Biostatistician/Epidemiologist: In the field of public health and medicine, biostatisticians and epidemiologists play a crucial role in designing and analyzing clinical trials, observational studies, and health surveys. A PhD in Statistics and Data Science provides the rigorous training needed for this type of work.
Quantitative Analyst (Quant): In the finance industry, quants use statistical and mathematical models to analyze financial markets, manage risk, and develop trading strategies. A PhD in Statistics and Data Science would provide a strong foundation for this quantitative role.
Machine Learning Engineer: With the increasing use of machine learning in various applications such as artificial intelligence, natural language processing, and computer vision, there is a growing demand for professionals who can develop and implement machine learning algorithms. A PhD in Statistics and Data Science equips you with the necessary skills in algorithm development, model evaluation, and optimization.
Research Scientist in Industry: Many industries, including technology, healthcare, and consumer goods, hire research scientists to conduct applied research and develop new products or solutions. A PhD in Statistics and Data Science would qualify you for roles involving data analysis, experimental design, and algorithm development.
Government Statistician: Government agencies at the local, state, and federal levels employ statisticians and data scientists to analyze demographic trends, economic indicators, and social phenomena. This could involve working for agencies such as the Bureau of Labor Statistics, the Census Bureau, or the National Institutes of Health.
Entrepreneurship: Some PhD graduates choose to start their businesses or join startups focused on data analytics, machine learning, or statistical consulting. Entrepreneurial ventures might involve developing software tools, providing data-driven services, or launching data science-related products.
Stanford University |
Harvard University |
Massachusetts Institute of Technology (MIT) |
University of California, Berkeley |
University of Chicago |
Carnegie Mellon University |
University of Michigan, Ann Arbor |
Duke University |
University of Washington |
University of Pennsylvania. |
Q.1 - What is the procedure for Ph.D. 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 University for pursuing its Ph.D. programs and only the full-time mode is available for 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 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 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 - How 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 getting participated 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, in order 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: - All necessary and constructive resources, amenities, and facilities are offered by well-established and prestigious universities 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.