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Scheme for doctoral fellowships.
1. Introduction :
Ministry of Statistics & Programme Implementation (MOS&PI) is implementing a Plan scheme,namely, “Awards and Fellowships for Outstanding and Meritorious Research Work in Statistics” . The main objective of this plan scheme is to encourage independent and high quality research work in the field of Applied Statistics particularly on issues and problems relating to the Official Statistical System in the country.
One of the components/sub-scheme of this scheme is " Doctoral Fellowships ". Under this component/sub-scheme the Ministry provides fellowships for supporting research work for Doctoral studies in statistics from individual research scholars initially for a period of two years, to start with, which is extendable at the sole discretion of the Ministry of Statistics & Programme Implementation on the basis of the assessment/performance of Fellow’s research work.
2. Objective :
The objective of the Doctoral Fellowships Scheme is to encourage good quality and useful research work in the field of Applied/Official Statistics particularly on some of the critical problems relating to existing data gaps in key socio-economic statistics. The priority areas of research work include Human Development, Education, Gender Analysis, Environment, Price, Poverty, Labour, Employment, National Income, Agriculture, Rural Development, Industry, Productivity, Water Resources, Health, Power., Urbanisation and Population. Preference is given for specialized research work in official statistics especially in those spheres where there are some serious unresolved methodological and other problems; and also for the work oriented towards improving statistical practices.
3. Number of Fellowships :
The number of Doctoral Fellowships to be awarded every year will depend on the recommendation of the Advisory Committee on Awards regarding suitability of the applications for Doctoral Fellowships.
4. Eligibility
The applicants who fulfil the following criteria are eligible:-
- Indian National;
- Serving in Government with at least 5 years of experience in Applied/Official Statistics
- Post Graduate degree in Statistics. Ph.D. registered with a University/institute will be preferred. However, the registration within six months of selection for Fellowships is compulsory.
5. Age Limit :
The applicants should be within the age group of 26 - 54 years.
6. Announcement for inviting Applications :
Applications for Doctoral fellowships will be invited from various ministries, universities having full fledged Departments of Statistics, Statistical Institutions, etc.. Besides placing an announcement for inviting the application on the Website of the Ministry, the announcement would also be sent to selected journals and magazines for publicity.
7. Fellowship Allowances :
The amount of fellowship and Contingency Allowances for incidental expenditure for Doctoral Fellowships will be as follows: -
- The amount of Doctoral fellowship will be Rs. 6000/- per month for a period of 2 years and Rs.6400/- per month for the extended period of 3 rd year on the recommendation of the Advisory Committee.
- Besides fellowship amount, Annual Contingency Allowance of Rs. 15,000/- per year will also be given for incurring expenditures on purchase of items relating to research work such as journals, periodicals, stationery, computer time, preparation of graphs and charts, travel expenses, etc. The submission of receipts is essential for adjustment of Contingency Allowance. The equipments procured out of the contingency funds will be the property of the University/College/Institution on completion/ termination of the fellowship.
- The selected candidates will have the option either to get fellowship or to get reimbursed registration fee and tuition fee provided he/she does not get any remuneration from any part time employment. He/she will have to give an undertaking to this effect. In case the reimbursement sought for registration fee and tuition fee for a year exceeds the amount of fellowship during the corresponding period then the reimbursement would be restricted to the permissible amount of the fellowship.
8. Other Allowance and facilities :
The Doctoral Fellows who are awarded the fellowships would be entitled for House rent Allowance as per the rules of the UGC provided they do not avail of the accommodation of the University/Government/Institution. The fellows would also be entitled for all medical facilities of the University/Institute, if available. He will also be eligible to avail of other facilities of the university/institute as per the rules in force applicable to regular fellows.
The awardee shall be entitled to all types of leave as per rules of the University/Institution. Leave upto one month may be granted by the University/University. Beyond it, the period of additional leave upto 2 months will have to be got approved by the concerned Department of the applicant. The applicant will not be allowed to avail of more than three months' leave at a stretch under any circumstances. In case the applicant remains on leave beyond 3 months, it may lead to discontinuation of the fellowship which can be renewed by MOS&PI, New Delhi only under specific request of the Univ./college/ Institute, mentioning circumstances and full justification for such renewal sought.
10. Procedure for Award :
Candidates having the requisite qualifications may apply in the prescribed form addressed to the Additional Director General incharge of the scheme for Awards & Fellowships, Central Statistical Organisation, Sardar Patel Bhawan, Sansad Marg, New Delhi-110001. The applicant is required to submit a brief Synopsis of two pages indicating the subject area of research along with recommendation of the subject expert who is prepared to accept him /her for the research work under his/her guidance. Ph.D. registration with a University will be preferred. However, the registration within six months of selection for the fellowship is compulsory. The candidate is further required to submit a 'No Objection certificate' from the Competent Authority. The eligibility to draw the fellowship amount will be governed by the respective government Service Rules. The application for the Fellowship will be screened by the Screening Committee. The Screening Committee will, in turn, forward the applications of the eligible candidates to the Advisory Committee on Awards for obtaining its recommendations followed by the finalisation of fellowships by MOS&PI.
11. General Conditions of the Fellowships :
- The Fellowships are generally tenable at any University approved under the University Grants Commission (UGC) Act, 1956 or in the Institution deemed to be University. The Institution/ University shall provide infrastructure facilities for Research Fellows to meet all the requirements as per the U.G.C. rules.
- The Fellow shall register himself with the University/Institution as Doctoral Fellow.
- The Fellow shall not accept or hold appointment, paid or otherwise, or receive any emoluments from any other source during the tenure of the Fellowship except the payment made by the Parent Ministry/Department.
- The fellow shall submit a half yearly progress report to this Ministry through the Guide/Supervisor countersigned by the Head of the Department. He/she should also submit an annual progress report of the Research Work.
- The Fellow shall have to submit a comprehensive report to the Ministry of Statistics & Programme Implementation along with three copies of the Published work/Thesis or Dissertation, if any, and abstract in about 500 words of the research work done during the tenure of the Fellowship.
- Any work done during the tenure of the Fellowship, if published, should invariably mention the name of the funding agency viz. Ministry of Statistics & Programme Implementation, New Delhi.
- The Fellow, before the end of the tenure, may be permitted to withdraw from the Fellowship with the prior notice of two months provided he/she refunds to the Ministry of Statistics and Programme Implementation the entire amount of the Fellowship paid to the Fellow.
- The MOS&PI, in consultation with the University/Institution concerned, may terminate the Fellowship at any time without assigning any reasons; and the decision of the Ministry in this regard shall be final.
12. Mode of Payment :
Payment of the Fellowship amount and contingency grant will be made to the candidate through the University/college/Institution. The University/college /Institution may open a separate bank account for this purpose. The University/college /Institution is required to send a half yearly Expenditure Statement alongwith Utilisation Certificate. The MOS&PI will release the fellowship funds to the University/college /Institute on a half-yearly basis.
13. Extension of Fellowship:
The Fellow shall submit an annual report of the Research Work to this Ministry. For extension of the Fellowship, Head of the Department should send a report with his recommendation. The Advisory Committee shall consider such requests and make its recommendation to MOS&PI for a final decision in each case.
APPLICATION FOR DOCTORAL FELLOWSHIP
8. Details of Employment in chronological order:
9. Research Work Experience:
- Proposed place of research work (Institution/University/College etc. with complete address indicating telephone no., Fax no., e-mail etc.)
- If you have got the CSIR/UGC or any type of fellowship for research, provide details thereof.
- Particulars of the Guide (Name, designation, official address, specialisation details etc.) if applicable.
- Title of the proposed research work :
Give a description of the proposed research work (in about 1000 words) giving an outline of the problem, its important objectives, hypothesis to be tested, indicating also the relevance and possible benefit to official statistical system of India.
- Date of registration and commencement of the research ( if already registered)
alongwith the recommendation of the guide.
- Bibliographic details of papers published and accepted in standard journals (Attested copies must be enclosed)
- Name and designation of the referees from whom testimonials have been asked. The referees should be requested to send the testimonials directly to this Ministry within a month of submission of application.
- Other relevant particulars, if any, desired to be furnished.
I hereby declare that all the statements made in the application are true, complete and correct to the best of my knowledge and belief and in the event of any of the information being found false or incorrect, the action may be taken against me as deemed fit.
I ……………………….. certify that the above particulars are true to the best of our knowledge and in case, the above fellowship is awarded to the applicant, we undertake to enroll him with our Institution to enable him to pursue the proposed Doctoral Research Work.
Note: Except the attested copies of the mark sheets, certificates and testimonials, six copies of other papers (application and brief synopsis of the proposed research work) have to be submitted.
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Ph.D. Statistics
Focus areas, of the program, statistical inference & distribution theory, focuses on theoretical perspectives with a blend of real life applications in allied areas of statistics, stochastic modelling & optimization methods, focuses on stochastic modelling using data driven approach, biostatistics & classification techniques, focuses on research problems pertaining to medical statistics, reliability theory and survival analysis, bayesian inference, focuses on developing models that deals with engineering and medical framework., who can prefer this course, eligibility.
Current Curriculum
- Course Content
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Previous Curriculum
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- Ph.D. in Statistics
The Ph.D. Statistics course covers all the different categories of Statistics. This course provides a platform for the candidates to perform in-depth research and analysis on different advanced Statistical topics. The structure offers enough flexibility to choose courses as per their interests. In addition to a core curriculum, this programme allows students to take elective courses in areas that are of interest to them. The Ph..D. coursework spills over to semesters; in which a student will take two subject specific courses. The compulsory course in the structure will be ‘Research Methodology’, ‘Research Publication Ethics’. Apart from lecture based advanced/specialized courses there will be a course called ‘Research proposal & Review Writing Seminar’ which will give opportunity to the students to get exposed to real research during the period of the coursework. The course structure is quite open- ended which is desirable for a Ph. D. student.
The Department has a team of young dynamic researchers from various fields of pure as well as applied Mathematics and Statistics. The research supervisors have a good number of publications in peer reviewed reputed national/international journals.
The areas of research are optimization techniques, logistics and supply chain management, Quantile Regression, Sampling, Ranked Set Sampling, Neutrosophic Statistics etc.
Ph.D. Entrance Test (PET) Syllabus
Ph.D Programme Fees
The following candidates are eligible to seek admission to the Ph.D. programme
Candidates who have completed:
i)Graduates of 4-year Bachelor of Science programmes/ Engineering & Technology (with sufficient Statistics background) with minimum CGPA of 7 .5 and above.
ii)Master’s degree in mathematical sciences/ Physical Sciences/ Engineering & Technology (with sufficient Statistics background) with a minimum CGPA of 6.0 or 55% marks in aggregate in the qualifying exam.
A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC/ST/OBC (non-creamy layer)/differently-abled and other categories of candidates as per the decision of the commission from time to time.
Reservation is applicable only to Maharashtra domicile candidates provided they submit the necessary documents for reservation before interview. Outside Maharashtra candidates will be considered in open category.
II. Selection Process for the admission to the Ph.D. programme
1. Candidates satisfying eligibility criterion shall be called to appear for the Ph.D. entrance test conducted by MITWPU.The exemption will be given from Ph.D. entrance test for those students who qualify UGC-NET/UGC-CSIR NET /GATE (valid score)/CEED/GPAT (valid score)and similar national tests.
2. PhD entrance test shall be qualifying with qualifying marks as 50% provided that relaxation from 50% to 45% shall be allowed for the candidates belongs to SC/ST/OBC (Non creamy layer)/Differently abled category and other category of candidates. The syllabus of entrance test shall consist of 50% of research methodology and 50% shall be subject specific.
3. The interview/viva-voce will be conducted by the university for test qualifying candidates. For selection of candidates a weightage of 70% to the entrance test and 30% to the performance in the interview/Viva-voce shall be given. For GATE/NET/JRF /SET/GPAT/CEED qualified students, the selection will be based on Interview/Viva Voce.
4. The recommended candidates will be intimated through email about their selection and the candidates will be offered Ph.D. provisional admission.
5. The eligibility of a candidate is provisional as per information provided by the candidate in his/her application form and is subject to verification of minimum eligibility conditions for admission to the programme, educational documents and reservation documents (if any).
6. University keep rights to cancel admission of the Ph.D. scholars in the case of misconduct by the scholar, unsatisfactory progress/absent for consecutive two progress seminars, failure in any examination related to Ph.D., fabrication found in educational and reservation documents, candidate is found ineligible, involved in plagiarism in paper publications and thesis.
7. Provisional eligibility to appear in the selection process is no guarantee for admission to the programme.
8. Candidates who will join the PhD programme full time, they will be provided with the stipend as per MIT-WPU norms.
9. PhD admission will be confirmed after successful completion of the course work with 55% or more as per UGC norms. Ph.D. programme should be minimum of three years including course work and maximum of six years from the date of admission to the Ph.D. programme.
10. A maximum of an additional two years (2) years can be given through the process of re-registration provided, however, that the total period for completion of a Ph.D. programme should not exceed eight (8) years from the date of admission in the Ph.D. programme.
11.Provided further that, female Ph.D. scholars and persons with Disabilities (having more than 40% disability) may be allowed an additional relaxation of two years (2); however, the total period for completion of a Ph.D. programme in such cases should not exceed ten (10) years from the date of admission of the programme.
12. Female candidates may be provided Maternity Leave/Child Care Leave for up to 240 days in the entire duration of Ph.D. programme.
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PhD in Statistics: Course Details, Eligibility, Admission, Fees
PhD in Statistics is a three to six years long doctorate program that deals with the collection, analysis, interpretation, and presentation of numerical data. This course graduate can get many job roles such as Research Analyst, Assistant Professor, Data Analyst, Biostatistician, Data Interpreter, Lecturer, Research Scholar etc.
PhD Statistics Course Details
About phd in statistics.
PhD in Statistics is a three to six years doctorate which is created in such a way that the learners get to know a deep understanding of their chosen topics. Over the past few years, the scope of pursuing PhD courses in India has increased manifolds. Many universities are in front of admission in this PhD course .
According to Wikipedia "Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional, to begin with, a statistical population or a statistical model to be studied."
TABLE OF CONTENTS
- PhD in Statistics Eligibility Criteria
- PhD in Statistics Admission Process
- Who Should Do a PhD in Statistics
Types of PhD in Statistics
- Popular PhD in Statistics Entrance Exams
Study PhD in Statistics in India
- Top PhD in Statistics Colleges
- Study PhD in Statistics in Abroad
- PhD in Statistics Fees Structure
- PhD in Statistics Syllabus and Subjects
Why Choose PhD in Statistics?
Phd in statistics course comparison.
- Scope of Higher Education for PhD in Statistics
Preparation Tips for PhD in Statistics
- Salary of a PhD in Statistics Graduate
- Career Options after PhD in Statistics
- Skills to Excel
Eligibility Criteria for PhD in Statistics
As all the students know how important a PhD in Statistics course is, that’s why it’s quite difficult to get admitted into their respective interested universities. Those students who want to take enrollment in this doctorate program have to qualify for the eligibility criteria i.e one should have a minimum mark of 55% in either MSc or MA in Mathematics or Statistics.
There are few PhD Agricultural entrance exams such as GATE, CSIR- UGC NET, UGC-NET, and BHU which have cutoffs to qualify. There is no age limit for the students for taking admission to this course.
How To Get Admission for PhD in Statistics?
Admission to the PhD in Statistics course is not impossible if the students ensure that they research the details well. The universities follow the process of entrance-based admissions. The admission process with respect to admission through exams varies from college to college. Online and offline both facilities are available to the students for enrollment. The students are guided to check the college website to get detailed information
How to Apply?
There are two ways to apply for admission in the PhD Statistics course. Either online by visiting the college website and following the steps given there or offline by visiting the university's office.
There are certain colleges that take interviews for checking the knowledge and communication skills of the candidates.
Selection Process
The selection process of the candidates for getting admission in the respective PhD in Statistics course ends on interview. The students who have cracked the entrance exams with good marks can give interviews for the further joining process. The last step of the admission procedure decides whether the student is eligible to take admission or not.
Who Should Pursue a PhD in Statistics
A PhD in Statistics is a three to six years doctorate program that makes a student’s career in the public, private, academic, and non-profit sectors. When it comes to your career graph. A PhD in Statistics degree gives a variety of job opportunities to the graduates.
One of the most sought-after jobs for a PhD Statistics degree holder is of a lecturer or a professor in a university or a researcher in most fields.
Along with this, a PhD in Statistics degree holder can get a job in Ecological, Medical, Census, Election, Crime, Education, Film, Cricket, Tourism, Insurance, Statistical Research, Indian Statistical Services, etc. Candidates will have in-depth knowledge and develop mastery over the subjects they have chosen for specialization, which will be extremely useful for them in their careers. Those learners who are interested in these specializations should pursue this course.
When to do a PhD in Statistics?
Aspirants are eligible to pursue a PhD in Statistics course only if they have completed their master's degree in a similar course/ field/ stream in which they want to pursue a PhD in Statistics. Some colleges also specify that candidates need to have completed an MPhil to pursue a PhD in Statistics course offered by them.
A PhD in Statistics is a research-based doctorate program and that's the reason this course can be done in any of three modes i.e full-time, part-time, and distance learning mode. Aspirants can pursue the PhD in Statistics course at many top universities.
Full-Time PhD in Statistics
A full-time PhD Statistics program duration is three to six years that is provided by many top respected colleges or universities. This full-time course is all about classroom-based studying, research projects, and assignments. There are no limitations on the age for taking admissions.
Part-Time PhD in Statistics
A part-time PhD Agricultural program is for 6-10 years. This course is basically created for the students who are working somewhere or are professionals. A part-time mode is all about having limited classes. Part-time PhD is mainly focused on research for the development of the company rather than individual research work.
Distance PhD in Statistics
A distance PhD in Statistics in India program is quite easy for getting knowledge at any time from anywhere. Many people believe in pursuing this course because of no issue of being physically present at the universities. The objective behind the creation of this distance learning program is to provide the degree along with the knowledge while working.
Popular Entrance Exams for PhD in Statistics
Various institutes and testing agencies conduct PhD in Statistics entrance exams for admissions regarding PhD in Statistics and Technology. The following are some of these entrance examinations:
- CSIR- UGC NET
A Quick Glance at the PhD in Statistics Entrance Exams
Students can access the PhD in Statistics course details by going to the college's official website to which they are interested in applying. The specialization plays a vital role in the college's approach to the entrance exam. Below listed are some of the general guidelines of the PhD in Statistics entrance examinations:
- The exam pattern includes common topics from 10+2, graduation and postgraduation level i.e. technology, life sciences, mathematics, sciences, and general aptitude.
- The papers are objective and MCQ-based.
- The syllabus, mode of examination, and question pattern may change according to a university/conducting body.
India is home to some of the PhD in Statistics colleges in the world. Aspirants have many options to choose from in terms of the best PhD in Statistics course as per their preferences. Depending on the type of PhD Statistics programs offered, candidates will have to make the appropriate choice. Below are some of the top colleges in India offering PhD in Statistics courses:
Top 10 PhD in Statistics Colleges in India
Below is the list of the top best PhD in Statistics colleges in the country:
Top PhD in Statistics Colleges in New Delhi
Delhi, the educational hub of India, stands in the fourth position in producing PhD in Statistics candidates. Here are the top 5 PhD in Statistics Colleges in New Delhi:
Top PhD in Statistics Colleges in Chennai
The top 5 PhD in Statistics Colleges in Chennai are given below:
Top PhD in Statistics Colleges in Pune
Below is the list of colleges which are the top colleges for PhD in Statistics in Pune:
Top PhD in Statistics Colleges in Bangalore
Banglore city has some of the best colleges for PhD in Statistics courses in India. Here is the list of top colleges for PhD in Statistics in Bangalore:
Top PhD in Statistics Colleges in Kolkata
Check the Table below for the top colleges in Kolkata:
Top PhD in Statistics Colleges in Hyderabad
The Telangana state capital has some premier institutions in the country for PhD in Statistics courses in India. Check the table below for the top PhD Statistics colleges in Hyderabad:
Top PhD in Statistics Government Colleges
There are several top Government Colleges offering quality PhD in Statistics programmes across the country. Check the table below for the top PhD in Statistics government colleges in India:
Top PhD in Statistics Private Colleges
India has seen significant growth in the number of quality PhD in Statistics private colleges that offer some of the best programmes in the country. Check the table below for the top PhD in Statistics private colleges in India:
Study PhD in Statistics Abroad
Students can opt to study a PhD in Statistics course abroad if they can afford it. The PhD Statistics course abroad is up to 5-8 years, depending on the type of course, college and country.
The benefits of studying a PhD in Statistics course abroad are access to some of the best resources, facilities, and faculties, apart from worldwide exposure in terms of subject matter and other cultures.
Top PhD in Statistics Colleges Abroad
The table below contains the list of some of the best colleges abroad for PhD in Statistics:
Top PhD in Statistics Colleges in the USA
The USA is home to some of the best universities and colleges offering top-notch PhD in Statistics programmes in the world. The US is the best country for PhD in Statistics studies and settling abroad. It's a PhD Statistics-level that the USA really shines through. The table below contains the list of top colleges of PhD in Statistics in the USA:
Top PhD in Statistics Colleges in the Uk
A PhD in Statistics is a research degree and is the highest award available at universities in the UK. The study is based on a substantial research project on an area of academic interest, typically up to 100,000 words in length, written as a thesis which then must be defended in an oral examination in front of a panel of experts.
The table below contains the list of top colleges of PhD in Statistics in the Uk:
Top PhD in Statistics Colleges in Canada
An increasingly attractive and multicultural study destination, Canada is a great option to consider for your PhD Statistics studies, offering a wealth of research opportunities to help you expand your expertise. Here are the top universities for PhD in Statistics in Canada:
Top PhD in Statistics Colleges in Australia
A PhD in Statistics in Australia means that you will develop your knowledge and skills, which ultimately increases your chances for employment within Australia and in any country. According to the UN's Education Index, Australia's education system ranks first. The table below shows the top universities of PhD in Statistics in Australia:
Top PhD in Statistics Colleges in Germany
It is much easier to get a PhD in Statistics in a European university, which takes about 3-4 years in a good university in Europe. The PhD Statistics from Germany in engineering enjoys an outstanding reputation. Germany's research institutions, universities and companies welcome international researchers and offer excellent opportunities for doctoral students.
The table below shows the top universities in Germany colleges of PhD in Statistics:
Fee Structure for PhD in Statistics
The fee structure for PhD in Statistics varies for different Universities. Also, the fee structure varies following the course and University. Students can download the admission brochure as well as the course curriculum to get the details of PhD Statistics admission and fee structure.
The average PhD in Statistics fee in India is INR 5,000 - 2 LPA. Now, read below to know about the fee structure of different universities.
Syllabus and Subjects for PhD in Statistics
PhD in Statistics is a doctorate course in Agriculture. The course may have a duration of 2 years and it is a full-time course. It is a research-based course. In the PhD in Statistics duration, the candidates get to learn the collection, analysis, interpretation, and presentation of numerical data. This course mainly covers areas like Math and Statistics, etc. The students come to know about the fundamentals of agriculture and crop production. Though the actual course offerings might differ from one university to another, here is a list of major subjects which are commonly studied under a PhD Statistics:
- Statistical Methods
- Probability Theory
- Vectors and Matrices
- C or C++ Programming
- Numerical Analysis
- Elementary Inference
- Statistical Quality Control
- Mathematical Analysis
Read More: PhD in Statistics Subjects and syllabus
When students decide to pursue the PhD in Statistics qualification, they should research PhD in Statistics course details to ensure that they know the course they are enrolled in. Some of the common queries that students encounter are, "What is PhD Statistics" and "Why PhD Statistics?". To understand the answer to these questions, we can make it simpler by breaking it down into the following three short questions:
What is PhD in Statistics All About?
A PhD in Statistics or Doctor of Philosophy is a doctoral research degree and is normally the highest level of academic qualification one can achieve. A PhD in Statistics degree holder can get a job as Research Analyst, Assistant Professor, Data Analyst, Biostatistician, Data Interpreter, Lecturer, Research Scholar, and many more.
The course has a specialization that deals with Statistical Methods and Mathematical Analysis. Students need to check the PhD in Statistics course outline perfectly.
What do PhD in Statistics Graduates do?
Students can select the subjects of their choice depending on their interest in job prospects available in the specific field. Since graduates with a PhD Statistics degree possess skills in various subjects, there are career opportunities available in multiple fields for them.
In addition, there are many responsibilities that graduates of this role have to undertake, which makes the role very dynamic and diverse.
Data Analyst: One of the popular roles undertaken by graduates of the PhD in Statistics course is Data Analyst. Although responsibilities might vary based on position and industry, data analysts are often in charge of gathering data, organizing it, and pinpointing trends and patterns. In the later stages of a project, data analysts produce visualizations and reports and communicate their findings to leadership
Reasons Why PhD in Statistics Can Fetch You a Rewarding Career?
PhD in Statistics courses are a very reflective and exciting stream of education. Students can gauge the intrinsic worth of a PhD Statistics course because it offers more avenues of employment opportunities than any other stream. Thus, the PhD in Statistics job scope is forever widening and appealing.
Diversity in Job roles : There is a diverse range of job roles available for the graduates of this course. Since the specializations available to the students are very flexible, it enables the students to pursue a wide range of roles in their careers.
Read More: PhD in Statistics Jobs & Scope
PhD in Statistics stands for Doctor of Philosophy in Statistics and is typically catered to students interested in and inclined towards research-based degrees and professional application. Here is a course comparison of PhD Statistics with another course:
PhD Statistics vs PhD Agronomy
There are many tips that students must note when deciding to pursue a PhD in Statistics degree. Some important preparation tips are listed below to ensure that the students crack the course and pass the exams without any hurdles.
Improve Vocabulary: Improving vocabulary is very necessary as the PhD in Statistics course deals with many writing and reading activities. So having excellent communication and writing skills are a plus for the student studying the PhD in Statistics course.
Read and Practice More: Being up to date with the syllabus every day is very important. Practising and reading more will help the student be thorough with the syllabus and do well in the exams.
Have Intrinsic Knowledge and Interest in Subjects: Having intrinsic knowledge about the subject and having the same interest will keep the student motivated to learn more than what's in the syllabus.
Revise Methodically: Revising from time to time can be a key to scoring well in the final exam. Keep revising regularly and understand the subject properly. Revision is the key to scoring good marks.
Salary of a PhD in Statistics Graduates
The salary depends on the kind of job you get/you choose to do, what your PhD in Statistics research area is and where you are employed.No prior experience is required to be a PhD in Statistics Student. The average Salary of a PhD in Statistics graduate starts from INR 3 - INR 8 LPA (Source: Payscale), depending on the stream you belong from.
Read More: PhD in Statistics Job Salary
Career Options After PhD in Statistics
A PhD in Statistics degree is pursued by a majority of students because it offers better career options, for example, in the field of academics and research. PhD in Statistics in itself is a broad term, it has many specializations that have different career options and jobs. PhD Statistics Jobs include:
- Senior Data Science Researcher
- Life science Teaching Faculty
- Quantitative Research Scientist
- Associate Research Scientist, Human Biology
- Dolat Capital - Quantitative Research Scientist
- Research Scientist
Skills That Make You The Best PhD in Statistics Graduates
For studying a course like PhD in Statistics, there are so many skills that a student needs to have. The skills help the students to get well-maintained dignity, respect, and so much attention.
So, that’s why the students need to put their efforts to come out of their comfort zones and earn respect as much as possible. Some of these skills include:
- Academic Ability
- Accountability
- Persistence
- Good Communication Skills
- Time Management
- Open-mindedness and Curiosity to Learn Something New
- Ability to Think
PhD Statistics: Course, Admission, Top Colleges, Syllabus, Jobs
Shruti Sharma
Content Curator
PhD Statistics is a minimum 3-year doctoral course in Statistics 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 in mentoring fellowships regularly to expand their knowledge base.
Candidates with Master’s degree with Mathematics or Statistics with an aggregate of more than 55% are eligible to apply for the PhD Statistics course. The admission to the PhD Statistics 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, GATE are some of the exams whose score is considered for admission to the course by some institutes.
Some top PhD Statistics institutes are the University of Hyderabad, Pondicherry University, Annamalai University, etc. The average annual fees for a PhD Statistics 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 degree 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 degree in India is in the range of INR 3,00,000 to INR 8,00,000 depending on the skillset of the candidate. Some of the top companies hiring candidates with a PhD Statistics degree are Ford Global Business Services, GE Corporate, Indian Institute of Management Udaipur, Barclays, Ahmedabad University, etc.
Table of Content
- PhD Statistics Course Highlights
- About the PhD Statistics Course
- PhD Statistics Admission Process
- PhD Statistics Eligibility
- PhD Statistics Entrance Exams
- PhD Statistics Syllabus
- PhD Statistics Top Colleges in India
- PhD Statistics Jobs
- PhD Statistics FAQs
PhD Statistics: Course Highlights
Phd statistics: about the course.
- PhD Statistics is a research-based course designed for providing specialized knowledge and expertise in data collection, analysis, interpretation, and presentation.
- The course encompasses various academic disciplines right from humanities to social sciences.
- Statistics can be classified into two categories namely Mathematical Statistics and Applied Statistics. Applied Statistics can further be classified into Descriptive Statistics and Inferential Statistics.
- The PhD Statistics course covers all the different categories of Statistics. This course provides a platform for the candidates to perform in-depth research and analysis on different advanced Statistical topics.
- Candidates may present documentation and research papers on different fields like education and technology thus contributing to the advancement in the field and bringing about major changes in policy.
PhD Statistics: Admission Process
The admission process for the PhD Statistics course may be merit-based or entrance exam-based depending on the decision of the college/university offering the course. Some colleges provide admission to candidates based on their score in the Master’s degree examination while some colleges provide admission to candidates based on their score in the entrance examination conducted by them.
Eligibility
The eligibility criteria for the PhD Statistics 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 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.
Entrance Exams
Phd statistics: syllabus, phd statistics: top colleges in india, phd statistics: jobs, phd statistics: faqs.
Ques: What are the eligibility criteria for admission to the PhD Statistics programme?
Ans. For admission to the PhD Statistics programme, the candidate must have completed a Master’s degree (M.Stat./M.A/M.Sc.) with an aggregate of a minimum of 55%.
Ques: What is the admission process for the PhD.Statistics Course?
Ans. Some colleges grant admission to the candidates on the basis of merit that is based on their performance at the Master’s-level exam. Some colleges grant admission to candidates on the basis of their score in the national-level or university-level or institute-level entrance exam. For some institutes, a personal interview or group discussion may be conducted as part of the admission process.
Ques: Is PhD Statistics programme in Distance Education mode valid in India?
Ans. The UGC (University Grants Commission) does not approve PhD. courses through distance education mode. As per the statement released in 2017, PhD. courses pursued through distance mode are not valid in India.
Ques: What are the top colleges to pursue PhD Statistics in India?
Ans. The top colleges/universities to pursue PhD Statistics in India are Banaras Hindu University, University of Hyderabad, Amity University, Banasthali Vidyapeeth, Pondicherry University, and Annamalai University.
. Ques. What are the different job profiles available for PhD Statistics degree holders?
Ans. The different job profiles for PhD Statistics degree holders are Data Analysts, Enumerators, Statisticians, Economists, Research Scholars, Content Developers, and Professors.
Ques. What is the duration of the PhD Statistics Programme?
Ans. The duration of the PhD Statistics Programme is a minimum of 3 years and may extend up to a maximum of 6 years.
Ques. What is the average annual course fee for a PhD Statistics programme?
Ans. The average annual course fee for a PhD Statistics programme may range from INR10,000 to INR1,50,000.
Ques. What is the average annual salary of a candidate with a PhD Statistics degree?
Ans. The average annual salary of a candidate with a PhD Statistics degree is in the range of INR3,00,000 to INR8,00,000.
Ques. What are the top recruiting companies for candidates completing PhD Statistics courses?
Ans. The top recruiting companies for candidates completing PhD Statistics course are:
- Blue Ocean Marketing
- Deloitte Consulting
- American Express
Ques. What are the entrance exams whose scores are considered during admission to the PhD Statistics course?
The entrance exams whose scores are considered during the admission process to the PhD Statistics course are:
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Ph.D. in Statistics
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NILKAMAL SCHOOL OF MATHEMATICS,APPLIED STATISTICS & ANALYTICS (NSOMASA) This program has been tailored by leading academicians and experts from the industry.Emphasis has been given to latest development in industry wherein expertise is required. Steps have been taken to further strengthen the present system in the country while framingthe syllabus.
Statistics is indispensable in this modern age aptly termed as "the age ofanalytics and digitalization".Governments around the word are constantly implementing statistics to improve economic developments.Wages, pricing of items, Time series analysis, demand analysis, production control, business development, growth & analysisis dependent on statistics. The corporate world relies heavily on evidence-based decision-making strategies, wherein the Science of Statistics plays a crucial role.Doctorate Degree holders in Statistics demonstrate highrates of employment in academics, industry, government and there is a growing demand of professionals with pre qualificalion in statistics.
Research expertise is available in the following areas: Probability Theory, Stalistical Inference, Non-parametric Inference, ReliabilityTheory, Stochastic Processes, Multivariate Analysis and Machine Learning.
*Assured scholarship of INR 2 Lacs per annum.
- Electronics & Telecommunication
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- Information Technology
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- Civil Engineering + Applied Mathematics
Ph.D. in Technology Management
Duration 3 to 6 Years
In take Capacity 10 Seats
- Master's degree in Statistics/ Applied Statistics or a professional degree declared equivalent to the Master's degree in Statistics by the corresponding statutory regulatory body,with at least 55% marks in aggregate or its equivalent grade
- An equivalent degree from a foreign educational Institution accredited by an Assessment and Accreditation Agency
Illustrious Alumni
1. Dr. Rakhi Thakur - Ph.D. in Marketing - Associate Professor (Marketing) S P Jain Institute of Management & Research, Mumbai Thesis title - Factors Affecting Customer Acceptance of Mobile Payment Services: An Empirical Study
2. Dr. Sreeram Sivaramakrishnan - Ph.D. in Marketing - Professor (Marketing) at the School of Management and Labour Studies, Tata Institute of Social Sciences, Mumbai Thesis title - An Empirical Analysis of Stock market participation amongst Indian Urban middle class retail investors
3. Dr. Sachin Mathur - Ph.D. in Finance - Associate Professor (Finance), School of Business Management, NMIMS - Mumbai Thesis title - Equity Analyst Recommendation: Usefulness, Determinants and Biases
4. Dr. Veena Vohra - Ph.D. in Human Resources and Behavioral Sciences - Professor, (Human Resources and Behavioral Sciences), School of Business Management, NMIMS, Mumbai Thesis title - Leadership in Indian Organizations: Emotional Intelligence and Appreciative Inquiry Behaviors
5. Dr. Bhattacharjee Anindo - Ph.D. in Human Resources and Behavioral Sciences - Assistant Professor, General Management – ASMOC – NMIMS, Mumbai Thesis title - Antecedents and Consequences of Emotional Contagion
Research Papers
Title of the Research: Employee silence in health care: Charting new avenues for leadership and management
Name of the Journal: Health Care Management Review, ABDC "A", Scopus, Web Of Science
Authors: Anindo Bhattacharjee
Title of the Research: Exploring the black box of competitive advantage – An integrated bibliometric and chronological literature review approach
Name of the Journal: Journal Of Business Research, Elsevier , ABDC “A”, Scopus, Web Of Science
Author: Bishwajit Nayak
Title of the Research: The impact of eWOM on Consumer Brand Engagement
Name of the Journal: Marketing Intelligence & Planning, Emerald Group Publishing , ABDC “A”, Scopus, Web Of Science
Author: Srivastava Mukta
Title of the Research: Decoding leadership to leverage employee engagement in virtual teams,
Name of the Journal: International Journal of Organizational Analysis, Emerald Group Publishing, ABDC "B", Scopus, Web Of Science.
Author: Prapti Mutha
Title of the Research: Circular economy in the Pharmaceutical industry through the lens of stimulus organism response theory ,
Name of the Journal: European Business Review, ABDC "B", Scopus, Web Of Science
Author: Kalicharan Sabat
• Dr.Sudeep Thepade - Dean Quality Assurance and Professor (Computer Engineering),PCCoE, SPPU,Pune Domain:Image Processing Thesis title - New Approaches of Feature vectorextractionfor content basedimage retrieval
• Dr. Suryakant Patil - MD and CEO,PSP-1P & Assoc ates Pvt Ltd Patent/ Trade Mark Attorney & Start-up Consultant, Pune Domain:Intelligence in Software Engineering Thesis title - Software Engineer ng and Business Analytics basedIntelligent Model
• Dr.Pallavl Halarnkar - Dy. GeneralManager at Jio Platforms,RelianceIndustries Limited Domain:Image Processing Thesis title - Image Security using Scrambling and Encryption Techniques
• Dr.Tanuja Sarode - Professor,ThadumalShahanlEngineer ng College,Mumbai Domain:Machine Learning Thesis title - Data Transformation using Machine Learning
• Dr.Sunita Patil - Professor and Vice Pr ncipal,K J Somaiya Institute of Engineering and Information Technology Domain:Data Mining Thesis title - Optimized Summarizationof Research Articles using Data Mining Techniques
Title of the Research: Experimental and numerical assessment of efficacy of lime stabilized capping material in controlling swelling displacements within flexible pavement embankments
Name of the Journal: Heliyon | Author: Manoj Anoakar and Sharad Mhaiskar
Title of the Research: Fusion of multi-modal lumbar spine images using Kekre's hybrid wavelet transform
Name of the Journal: IET Image Processing , | Author: Bhakti Palkar and Dhirendra Mishra
Title of the Research: A Survey on Implicit Aspect Detection for Sentiment Analysis: Terminology, issues and scope
Name of the Journal: IEEE Access | Author: Piyush Kumar Soni and Dr R. K. Rambola
Title of the Research: A review on techno managerial approaches to energy optimization in chemical process industries
Name of the Journal: Frontiers in Energy Research | Author: Nishita Parekh, Jinu Kurien, Rajesh Patil and Richa Gautam
Title of the Research: Evaluation of characteristics for microwave-assisted polymer coating of the steel substrate,
Name of the Journal: International Journal of Materials Research | Author: Praveen Kumar Loharkar, Asha Ingle
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Objective Of The Program
The Department offers PhD programs in Mathematics and Statistics with the objective of preparing motivated researchers, who can work in frontline areas as well as to prepare well-trained teaching faculty. The vibrant academic environment of the department is nurtured by strongly motivated faculty. The Department faculty takes research initiatives to work in recent and emerging areas. The department encourages interdisciplinary trends. Around 290 research scholars have graduated from the department and are serving in the faculty of various institutes and universities in India and abroad. Some of them have gone for industry also.
Structure Of The Programme
The department offers separate PhD Programmes in Mathematics and Statistics. Following are the requirements for the degrees.
Course work:
During the first two semesters, students are required to complete the minimum credit requirements (24) from course work. The minimum number of courses to be done is 6, out of which 3 are compulsory: Algebra (MTH751), Mathematical Methods (MTH752) and Analysis (MTH753) for Ph.D. Mathematics, and Analysis (MTH652), Probability Theory (MTH754) and Statistical Inference (MTH755) for Ph.D. Statistics. Minimum research credit requirement for the programme is 80 and students are required to register for 16 research credit per semester after finishing the course-work.
Comprehensive examination:
Students registered in the Ph.D. programme must pass a Comprehensive examination designed to test the overall comprehension of the student in Mathematics/Statistics. A student can appear in the comprehensive examination only after he/she has completed the course requirements and satisfied the minimum specified CPI requirement, i.e., 7.0 (out of 10.0).The comprehensive examination board consists of at least three but not more than five faculty members of the department and one faculty member from outside the department.
State of Art Seminar:
A student enrolled in the PhD programme is formally admitted to the candidacy for the Ph.D. degree after he/she has completed the course requirements for the degree with a CPI of at least 7.0 and has passed the comprehensive examination. Every Ph.D. student admitted to the candidacy for the Ph.D. degree is required to deliver a general seminar covering the State of Art of the area of research. This seminar, viz., the State of Art Seminar must be delivered within six months of passing the comprehensive examination.
Open Seminar:
Before finalizing the thesis, every Ph.D. student must deliver an Open Seminar in which the research work will be presented to obtain comments and criticism, which are to be incorporated in the thesis. The maximum time duration for the submission of the thesis after the delivery of the open seminar is six months. The PhD Thesis Board consists of three members in addition to the thesis supervisor(s) approved by the Chairman, Senate. At least two members of the board (other than the supervisor(s)) must be from outside the Institute and at least one of these two must be from within the country. The thesis supervisor(s), in consultation with the Head, proposes a list of examiners consisting of at least three extra names over and above the required number of members for the thesis board. The Chairman, Senate in consultation with Chairperson, SPGC selects the members of the thesis board from this list. The names of members of the thesis board are kept confidential till successful completion of the oral examination.
Programme Details
- School of Sciences
- Open From : -
- Open Until : -
Admission Queries
Eligibility - 2024
The Doctor of Philosophy in the field of Statistics develops students as researchers to pursue careers as teachers in higher education or scientists in the government or private sector. Technological advances made it easier to collect big data and make correct decisions with the help of apt statistical models. This made Statistics as one of the most sought-after fields of science research.
The Department of Statistics is committed to excellence in teaching and research. PhD programme in Statistics offered by the department enables students to develop novel statistical models, validate their statistical properties mathematically and implement them in applied fields through collaborative interaction with researchers in interdisciplinary fields.
Why choose this course?
Encourages research in both theoretical and applied statistics
Applied research in various domains
Integrated and balanced training in research
Data-driven research, consulting and collaboration
Equipping with skill sets for jobs in industry, government or academia
Publication of research outcomes in reputed indexed journals, what you will learn.
- Advanced statistical principles and methods to solve data-driven problems in real-time.
- To incorporate state-of-the-art developments into the featured study.
- Utilise suitable statistical techniques and software to precisely validate the tractability and sensitivity of results.
- Domain-based research diversification
- To provide adequate importance to theoretical aspects of the ideas handling
- Publications in high-quality journals in scopus or science citation-indexed database
Career prospects
- Data analyst consultancy in finance, health care, marketing or technology, sports analytics and community risk management
- Role as machine learning engineers or data scientists or statisticians
- Roles as machine learning engineers or data scientists
- Services national and international statistical agencies
- Postgraduate lecturer in applied sciences
- Startup Enterpreneuship
- Academic as well as industrial post doc
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CHRIST (Deemed to be University) is a nurturing ground for an individual's holistic development to make effective contribution to the society in a dynamic environment.
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IMAGES
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The objective of the Doctoral Fellowships Scheme is to encourage good quality and useful research work in the field of Applied/Official Statistics particularly on some of the critical problems relating to existing data gaps in key socio-economic statistics.
Ph.D. program in Statistics offered by the Department of Statistics since 2010 gives scope to researchers to pursue research in both theoretical and applied domains. Within the span of ten years, 18 students have been awarded doctorate degree and currently 16 students are pursuing their doctoral program.
Career Prospects and Job Scope for a PhD in Statistics Graduate. Post graduating from a respected college with a PhD in Statistics degree, a PhD in Statistics job opportunities become very wide and far stretched for the students. The average salary of a fresh graduate of this course is INR 3 - 8 LPA (Source: Payscale).
i)Graduates of 4-year Bachelor of Science programmes/ Engineering & Technology (with sufficient Statistics background) with minimum CGPA of 7 .5 and above.
Study PhD in Statistics in India. India is home to some of the PhD in Statistics colleges in the world. Aspirants have many options to choose from in terms of the best PhD in Statistics course as per their preferences. Depending on the type of PhD Statistics programs offered, candidates will have to make the appropriate choice.
IGNOU PhD Statistics Admission 2023 for the January session will begin soon. The university will tentatively release the application form for admission in the month of December 2022. Aspiring candidates can apply online on the university’s official website - ignou.ac.in. Check IGNOU Admissions 2023.
PhD Statistics is a minimum 3-year doctoral course in Statistics 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 in mentoring fellowships regularly to expand their knowledge base.
Apply for NMIMS Ph.D Admission 2024. SVKM's NMIMS Mumbai Campus Approved by AICTE, New Delhi. It offers 3-6 Years PhD Statistics Program. Realise your dream to reach the pinnacle in the field of Statistics through advanced studies, backed by research.
The Department offers PhD programs in Mathematics and Statistics with the objective of preparing motivated researchers, who can work in frontline areas as well as to prepare well-trained teaching faculty.
PhD programme in Statistics offered by the department enables students to develop novel statistical models, validate their statistical properties mathematically and implement them in applied fields through collaborative interaction with researchers in interdisciplinary fields. Why choose this course? What you will learn?