Master of Statistics [M.Stat] Syllabus and Subjects

Duration

Average Fees

INR 50,000 - 90,000 P.A

Rahil Ahmed

Updated on Oct 3, 2022 by Rahil Ahmed

Rahil Ahmed

Updated on Oct 3, 2022 by Rahil Ahmed

The Master of Statistics course is divided into four semesters. The Master of Statistics subjects is intended to provide students with a more in-depth understanding of statistical mathematics, studies of statistical analysis and data interpretation.

Semester Wise Master of Statistics Syllabus

The discipline chosen by the candidate determines the topics for the Master of Statistics. The Master of Statistics course is primarily concerned with the mathematical interpretation and studies of statistics. Master of Statistics courses teaches students everything they need to know. The diploma syllabus is listed below, semester by semester.

Master of Statistics First Year Syllabus

The table below contains the list of Master of Statistics subjects in the first year:

First Year Syllabus For Master of Statistics

Semester I

Semester II

Linear Models and Markov Chain Regression Techniques
Large Sample Statistical Methods Multivariate Analysis
Real Analysis Programming and Data Structures
Measure Theoretic Probability Metric Topology and Complex Analysis
Sample Surveys and Design of Experiments Elective Course I
Large Sample Statistical Methods Elective Course II
Applied Stochastic Processes  
Statistical Inference I  

Master of Statistics Second Year Syllabus

The table below contains the list of Master of Statistics subjects in the Second year:

Second Year Syllabus for Master of Statistics

Semester III

Semester IV

Analysis II Probability and Stochastic Processes III
Statistical Computing Project
Time Series Analysis Elective III
Elective I Elective IV
Elective II Elective V

Master of Statistics Subjects

Master of Statistics topics is determined by the discipline chosen by the applicant. The core subjects provide the fundamental base necessary for the development of the subject. The electives offer a wide range of subjects to choose from providing an exclusive knowledge base on matter required to solve statistical problems.

Master of Statistics Core Subjects 

The core Master of Statistics subjects list contains essential subjects students study. Below is a list which is as follows:

  • Analysis
  • Control and Reliability
  • Demography
  • Design of Experiments 
  • Econometrics and Time Series Analysis
  • Generalised Linear Models
  • Linear Algebra 
  • Probability Theory
  • Statistical Inference
  • Statistical Methodology 
  • Stochastic Processes 
  • Survey Sampling 
  • Practical in Data Structure and Statistical Computing

Master of Statistics Electives Subjects

The elective subjects are listed below for Masters in Statistics:

  • Actuarial Statistics
  • Advanced Design of Experiments and Sample Theory
  • Advanced Survey Sampling Theory
  • Advanced Theory of Experimental Designs
  • Applied Stochastic Processes
  • Bayesian Inference
  • Biostatistics
  • Computer Programming (Theory)
  • Distribution Theory 
  • Economics Statistics and Demography 
  • Mathematical Analysis
  • Nonparametric Inference Multivariate Analysis and Statistical Inference 
  • Operational Research
  • Order Statistics
  • Problems and Numerical using C language
  • Problems and Numerical using Statistical Software packages
  • Probability and Measure Theory
  • Reliability and Survival Analysis
  • Sample Survey and Design of Experiment 
  • Statistical Design Theory
  • Statistical Inference
  • Stochastic Process & Economics

Master of Statistics Course Structure

The Master of Statistics course structure consists of core subjects. The course is a two-year-long course, along with topics and papers. Students are introduced to specific topics related to the diploma. The course structure is:

  • IV Semesters
  • Core Subjects
  • Elective Subjects
  • Assessment

Master of Statistics Teaching Methodology and Techniques

Master of Statistics education methods and techniques cover both traditional lecture-based education along with practical training. Students in traditional classrooms can ask and receive answers to their questions.

The teaching methods and techniques used in this course are designed to give students access to all infrastructure and facilities that will be available to them once they complete this course. The following are some common teaching methods and strategies.

  • Lectures
  • Seminars 
  • Group Discussions
  • Assessment 
  • Examination

Master of Statistics Course Projects

The discipline chosen by the candidate determines the topics for the Master of Statistics. The Master of Statistics curriculum is primarily concerned with the fundamentals of statistical problems and solutions. Master of Statistics courses teaches students everything they need to know. 

  • A Regression Analysis On The Impact Of Smoking, Level Of Exercise, Weight On Medical Cost
  • A Time Series Analysis Of Customer Attendance
  • Cluster Analysis On The Effect Of Dollar Increment On The Economy
  • The Challenges And Statistical Implication Of Computer-Based Testing On Rural Indian Students; The Need To Implement Computer Assisted Learning
  • Statistical Analysis Of The Federal Government’s Expenditure And Revenue

Master of Statistics Course Books

Books are a significant investment for students pursuing a Master of Statistics because they allow them to learn more about interesting subjects. The following are some of the most popular Master of Statistics course books for students to choose from. Students can get reference books from the library, download them from the Internet, or buy them.

Reference Books For Master of Statistics

Name of Book

Author

Statistics Freedman, Pisani & Purves
Modern Applied Statistics  Venables & Ripley
Probability and Statistics for Engineering and the Sciences Devore

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