PhD in Statistics (Doctor of Philosophy in Statistics)
PhD in Statistics About
A PhD in Statistics is a doctoral degree program that focuses on advanced statistical theory and methods, as well as their application in various fields such as social sciences, medicine, engineering, finance, and more. The program is designed to prepare students for academic and research careers in statistics, as well as for leadership roles in the private and public sectors.
Typically, the PhD in Statistics program takes about 4-6 years to complete, depending on the student's prior background and research interests. Students are required to take advanced coursework in statistical theory and methods, as well as in related fields such as mathematics, computer science, and probability theory. They may also be required to take elective courses in their area of interest, such as biostatistics, econometrics, or data mining.
In addition to coursework, PhD students in Statistics are expected to conduct original research under the guidance of a faculty advisor. This research typically culminates in a dissertation, which is a substantial piece of original scholarship that makes a significant contribution to the field of statistics.
Upon completion of the PhD in Statistics program, graduates are well-equipped for careers in academia, industry, government, and research institutions. Some of the job titles that may be pursued include: statistician, data scientist, research scientist, biostatistician, econometrician, and more. Graduates may also choose to pursue postdoctoral fellowships or continue their research in a variety of settings.
PhD in Statistics Highlights
| Course Type | Doctorate |
| Course Duration | 3 - 6 years |
| Course Examination Type | Semester based |
| Course Eligibility | Post-graduation (M.Stat/ M.A / MSc.) with a minimum aggregate of 55%. |
| Course Admission Process | Merit-based / Entrance Exam Based |
| Course Fee | Notified Soon |
| Course Average Salary | INR 3,00,000 - INR 8,00,000 per annum |
| Top Recruiting Companies | Blue Ocean Marketing, Deloitte Consulting, GE Capital, Accenture, HDFC, HSBC, American Express, Genpact, RBI, etc. |
| Job Position | Data Analyst, Lecturer, Data Interpreter, Research Analyst, Data Interpreter, Statistician, Econometrician, Sociologist, Enumerator, Research Scholar |
PhD in Statistics Entrance Exam
IIT JAM
GPAT
CUCET
VITMEE
PhD in Statistics Eligibility Criteria
The common PhD Statistics eligibility criteria that candidates need to fulfil to be successfully admitted into a college offering this course are as follows:
- M.Sc./MA in Mathematics or Statistics from any recognized University or Institution in a relevant subject with minimum 55% marks or an equivalent grade.
- For candidates belonging to SC/ST/OBC / Differently-Abled and such other categories, 5% relaxation in marks will be given in accordance with the decision of the UGC & Govt. of India will be accorded.
- However, an applicant with CSIR-UGC/JRF/NET/SLET cleared in the relevant subject is exempted from the Entrance Test.
PhD in Statistics Duration
| The PhD in Statistics program typically takes 4-6 years to complete. |
| The length of the program can vary depending on the student's prior background and research interests, as well as the requirements of the specific program. |
PhD in Statistics Admission Process
Merit-Based Admission
Most private colleges that offer PhD Statistics 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
Step 1: Students have to register on the official website.
Step 2: Fill the application form with the 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 discussions for admission to this course.
Step 5: On meeting all the eligibility criteria, a student will then be offered admission to the course.
PhD in Statistics Selection Criteria
Selection criteria for PhD in Statistics typically include academic qualifications, research experience, letters of recommendation, and the applicant's statement.
Universities may also consider the applicant's GRE scores, English language proficiency, and writing sample.
PhD in Statistics How to Apply
| To apply for a PhD in Statistics, students should research universities and programs of interest, and review the specific admission requirements for each. |
| Applications are typically submitted online and may require payment of an application fee. |
| It is important to submit a complete application package by the deadline specified by each university or program. |
PhD in Statistics Application Process
- The application form and process for a PhD in Statistics vary depending on the university or program.
- Generally, students are required to complete an online application form and submit transcripts, letters of recommendation, a personal statement, and any additional materials required by the university or program.
- Application fees may also be required.
PhD in Statistics Application Fees
The application fee for a PhD in Statistics varies depending on the university or program.
Fees can range from around Notified Soon.
Some universities may offer fee waivers for students who meet certain qualifications, such as financial need or academic merit.
Syllabus of PhD in Statistics
The syllabus for a PhD in Statistics typically includes coursework in advanced statistical theory and methods, mathematics, computer science, and related fields. The specific coursework required may vary depending on the student's area of interest and the requirements of the program. In addition to coursework, students are expected to conduct original research under the guidance of a faculty advisor.
PhD in Statistics Job Scope
| Data Analysts: A Data Analyst accumulates and examines data to innovate ways to improve businesses and government entities, or databases and its related data. This type of data can include any subject like laborers, customers, arrangements, etc. |
| Economists: These professionals investigate and examine information that influences the financial and money-related occupations of the government. They forecast and clarify economic patterns in view of such data. Economists also inspect and break down information utilizing an assortment of programs, including spreadsheets, factual examination, and database-administration. |
| Statisticians: They collect numeric-related information and show it, helping organizations to comprehend quantitative information and to spot patterns and make forecasts. They have to create methods to beat issues in information-gathering and examination. |
| Enumerators: An Enumerator is essentially in charge of recording the number of individuals in a family, their ages, genders, and other such data. They collect and record such factual information. |
| Biostatisticians: A Biostatistician utilizes or applies arithmetic insights to effect advancements in science. Biostatisticians prepare natural tests in the field of agribusiness and solution, collect, analyze, and condense such information, and formulate conclusions in light of such information. |
PhD in Statistics Career Opportunities
Academic Researcher/Professor: Many PhD statisticians choose to pursue careers in academia, conducting research in statistical theory, methodology, and applications. They may also teach undergraduate and graduate-level courses in statistics, biostatistics, data science, or related fields at colleges and universities.
Biostatistician/Epidemiologist: Statisticians play a crucial role in biomedical and public health research, designing clinical trials, analyzing epidemiological data, and interpreting study findings. They work in academic institutions, government agencies, pharmaceutical companies, and healthcare organizations to contribute to medical advancements and public health initiatives.
Data Scientist: With the increasing demand for data-driven insights in various industries, PhD statisticians are well-equipped to work as data scientists. They analyze large and complex datasets, develop predictive models, and derive actionable insights to inform business decisions, optimize processes, and drive innovation across sectors such as finance, technology, marketing, and healthcare.
Statistical Consultant: Many organizations hire statisticians as consultants to provide expertise in study design, data analysis, and interpretation. Statistical consultants work with clients from diverse fields, including academia, government, healthcare, market research, and finance, helping them address research questions, solve problems, and make evidence-based decisions.
Quantitative Analyst (Quant): In the finance industry, PhD statisticians can work as quantitative analysts, using advanced statistical and mathematical techniques to develop and implement models for pricing financial instruments, managing risk, and optimizing investment strategies. Quants are employed by investment banks, hedge funds, asset management firms, and other financial institutions.
Machine Learning Engineer: PhD statisticians with expertise in machine learning algorithms and computational statistics are in high demand in industries such as artificial intelligence, autonomous vehicles, robotics, and natural language processing. They develop algorithms, train predictive models, and deploy machine learning solutions to solve complex problems and drive technological innovation.
Statistical Programmer: Statisticians proficient in programming languages such as R, Python, SAS, and SQL are sought after for roles as statistical programmers. They write code to manipulate data, conduct statistical analyses, and generate reports for research studies, clinical trials, and business projects in industries such as healthcare, pharmaceuticals, and market research.
Government Statistician: PhD statisticians can work for government agencies such as the U.S. Census Bureau, Bureau of Labor Statistics, National Institutes of Health, or Centers for Disease Control and Prevention, providing statistical expertise for survey design, data collection, analysis, and reporting to inform public policy decisions and government programs.
PhD in Statistics Top Colleges
Some of the top colleges for a PhD in Statistics include:
- Stanford University
- Harvard University
- Massachusetts Institute of Technology (MIT)
- University of California, Berkeley
- University of Chicago
- University of Michigan
- Carnegie Mellon University
- Duke University
- University of North Carolina at Chapel Hill
- University of Wisconsin-Madison
Admission Process For PhD in Statistics
- 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 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 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
- Final 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 University, Degree Awarded.
Document Required For PhD in Statistics
- 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%
FAQs About Ph.D. Program
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 many 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.
DOCTOR OF PHILOSOPHY IN STATISTICS (PHD IN STATISTICS)
Doctor of Philosophy in Statistics (PhD in Statistics) is a 3 Years Doctorate Degree Courses program that focuses on Doctor of Philosophy. The course combines theoretical knowledge with practical skills to prepare students for a career in Doctor of Philosophy.
Syllabus & Subjects
Quick Links
Get Course Details
Fill the form to receive complete course information