PhD in Statistics syllabus holds so much knowledge about the mathematical field that the students who have chosen can play a vital role in the economy. It has become common knowledge about the tough math concepts, this course has been designed in such a way to make and train the professionals efficiently who are interested in this area of knowledge.
PhD in Statistics is a three to six years doctorate course, which is why it is divided into six semesters so the students don't have more difficulty with the difficult subjects. The PhD Statistics subjects are the ones that have the most potential knowledgeable topics.
The specialization of the PhD in Statistics course covers areas such as calculus, algebra, programming, mathematical concepts, etc. There are various subjects in the doctorate program that are arranged in the perfect manner.
As for the consistency of the course content, there is no change in the syllabus of PhD in Statistics and it remains constant every year.
The table below contains the list of PhD in Statistics subjects in the first year:
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 | - |
The table below contains the list of PhD in Statistics subjects in the second year:
Semester III | Semester IV |
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 | - |
The table below contains the list of PhD in Statistics subjects in the third year:
Semester V | Semester VI |
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 | - |
The PhD in Statistics course syllabus depends on the specialization a student chooses to focus on. Core subjects are subjects that would help students to learn how to conduct productive and ethical research.
The electives are the optional subjects that students choose based on their specialization but due to the flexibility of the course, there are no such subjects in the course.
The subjects are decided to keep in mind that PhD Statistics is usually the final degree that a student gains. Therefore it needs to be ensured that all the important information is provided to the students.
The students can choose electives based on their specialization and areas of interest and need to submit a research-based final dissertation at the end of their degree. The course structure is:
A course has some important teaching methodology that creates a practical and theoretical awareness of the learner. A perfect environment is given to the students where they can ask their doubts comfortably without any hesitation. The teaching techniques are all about giving the best possible knowledge at their best facilities. In short, the teaching methodology and techniques are:
PhD in Statistics has been designed in such an effective manner with so much diversity. There are various projects given to the students on which the students have to do research. The research ensures that the subject they decide to focus on is done properly and is in-depth.
The difference between the research conducted at the doctoral level and that at the master's level is that at the doctoral level, the research is to understand the existing trends and facts or a subject and improve and add to the existing research.
Popular PhD in Statistics dissertation topics are:
PhD in Statistics Books play major support for studying so that is why it’s available offline in the college libraries and online as well. Students can rent out the books for getting support on their topic of interest.
Below is a general list of some books which introduce students to research methods and will help them when they plan to make a dissertation structure:
Name Of The Books | Authors |
Research Methodology & Biostatistics | Suresh K Sharma |
Research Methodology | C R Kothari, Gaurav Garg |
Statistical Data Analysis | Kenneth J Koehler, Mervyn G Marasinghe |
Statistics in short | Nobin Chandra Paul |
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