Posted by Admin on 30-09-2022 in Shiksha hub
Posted by Admin on 30-09-2022 in Shiksha hub
PhD Statistics is a 2-year Doctoral course in Statistics which can be pursued on completion of Master’s degree.
This doctoral course is a branch of Mathematics that deals with the collection, analysis, interpretation, and presentation of numerical data. This program can be used for the measurement systems’ variability, control processes for abridging data, and for making data-driven choices.
This program is a branch of study that takes within a broad spectrum of academic disciplines ranging from Physical to Humanities and Social Sciences. The study of Statistics involves both Mathematical as well as Applied Statistics.
To be considered eligible to apply to this program, candidates are required to have passed M.Sc. or MA in Mathematics or Statistics with an aggregate of at least 55%.
Admission to PhD Statistics course will be done either on the basis of the candidate's performance in the Master’s degree exam or on the basis of their performance in the entrance exams conducted by admission authorities.
PhD Statistics degree holders are hired in a wide range of fields as a Research Analyst, Assistant Professor, Data Analyst, Biostatistician, Data Interpreter, Lecturer, Research Scholar etc. They are recruited in Statistical Services, Social Research, Economics, Finance, Indian Economic Services, Businesses, Commerce, Govt. Jobs Consulting Firms etc.
Although the PhD in Statistics program syllabus varies from institute to institute, it mostly consists of some common foundation courses that students can select based on their interests.
The Semester-wise syllabus of PhD Statistics program is provided in the table given below:
Semester I | Semester II |
---|---|
Research Methodology | Dissertation and Viva-Voce |
Advanced Trends in Statistics | |
Specialization | |
Longitudinal Data Analysis | |
Stochastic Models in Queuing Theory | |
Advanced Queuing Systems | |
Laplace Distributions | |
Circular Distributions | |
Limit Theorems and Stability of Random Sums |
Most colleges and institutes offering PhD Statistics courses admit students based on their performance in the Master’s degree examination. However, there are some colleges which do conduct entrance examinations to judge a candidate’s abilities and skill sets.
The following are the two major pathways through which a PhD Statistics admissions take place:
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
Most of the colleges and universities offer admission to PhD Statistics 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.
The common PhD Statistics eligibility criteria that candidates need to fulfil to be successfully admitted into a college offering this course are as follows:
Some colleges that offer PhD Statistics programs require their candidates to sit for an entrance examination.
Listed below are some of the popular PhD Statistics entrance exams:
Listed below are some of these popular PhD Biomedical Engineering entrance exams.
GATE: GATE is a national-level exam conducted jointly by the Indian Institute of Science and IITs to select candidates for the award of PhD degree jobs or lectureship in Indian universities and colleges.
GATE Preparation Tips | GATE Pattern and Syllabus | GATE Practice Papers |
The application dates, exam dates and the mode of the exam of the above-mentioned exams are provided in the table below.
Exam Name | Application Period | Exam Date | Exam Mode |
---|---|---|---|
CSIR-UGC NET for JRF | April 30, 2022 – May 30, 2022 | July 9-12, 2022 and August 12-14, 2022 | Online |
UGC-NET for JRF | To be announced | To be announced | Online |
NBHM Entrance Exam | To be announced | To be announced | Online |
Some of the most frequently asked questions related to PhD Statistics course which will help students in clearing their doubts are provided below:
Ques. What are the top colleges for the PhD Statistics program?
Ans. The top institutes and colleges for the PhD Statistics program are Banaras Hindu University, Amity University Noida, University of Hyderabad, Mumbai University, Banasthali Vidyapeeth, among others.
Ques. Which job profiles are available for PhD Statistics?
Ans. Students of PhD Statistics can work as an Assistant Professor, Biostatistician, Data Analyst, Research Analyst, Data Interpreter, Econometrician, Article Writer, Enumerator, Lecturer, Research Scholar, Statistician, Test Content Developer – Humanities, Content Developer, Labor Counsellor, Curriculum Trainer, Trainee Associate, Sociologist, Trainee - Teaching Associates, Asst. Professor & Lecturer, etc.
Ques. What is the average annual tuition fee charged for the PhD Statistics program?
Ans. The average annual tuition fee in the top PhD Statistics colleges ranges between INR 2,000 and INR 1,50,000.
Ques. What is the scope after pursuing a PhD Statistics degree?
Ans. After completing the Doctorate in Statistics, you can continue your further research work as a Postdoctoral Fellowship with CSIR and UGC fellowship. Once you finish your PhD you can also be qualified for a Lecturer post in Statistics and also for Mathematics in colleges and universities.
Ques. What is the average annual salary offered to PhD Statistics degree holders?
Ques. What is the admission process to apply to this course?
Ans. Admission to this course will be done either on the basis of candidate’s performance in the qualifying examination i.e. Master’s degree examination or on the basis of candidate’s performance in the entrance exams conducted by the admission authorities.
Ques. What is the eligibility criteria to seek admission to a PhD Statistics course?
Ans. Candidates must hold a Master’s degree in Mathematics or Statistics with an aggregate of at least 55% marks to seek admission to this program.