B.Sc Statistics syllabus includes core subjects such as calculus, algebra, probability and statistical methods, applied statistics, survey sampling, and many more. Algebra, calculus, number theory, probability theory, game theory, data collection, and sampling techniques, and mathematical modeling are all statistics subjects in B.Sc.
The BSc Statistics syllabus is a comprehensive and multidisciplinary curriculum that spans six semesters and three years and includes theoretical and practical research. The following is a semester-by-semester rundown of the general B.Sc Statistics syllabus:
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Semester Ⅰ |
Semester Ⅱ |
|
Inequalities |
Review of Integration and Definite Integrals |
|
Equations theories, Fundamental theorem of algebra and its consequences. |
Review of Differential Equations |
|
Demoivre’s theorem |
Differential Calculus |
|
Semester Ⅲ |
Semester Ⅳ |
|
Probability Theory |
Index Numbers |
|
Measures of Location (or Central Tendency) and Dispersion |
Mathematical Finance |
|
Statistical Methods |
Utility and Production Functions |
|
Random Variables |
Demand Analysis |
|
Expectation of Random Variable and its Properties |
Time Series |
|
Semester Ⅴ |
Semester Ⅵ |
|
Stratified Random Sampling |
Numerical Analysis |
|
Basic Sampling Methods |
Inverse Interpolation |
|
Sample Surveys |
Numerical Integration |
|
Fundamental Theorem of Algebra and its Consequences |
General Linear Models |
BSc in Statistics mathematical statistics and computer-based statistical methods are some B.Sc Statistics subjects. Probability and distribution, data interpretation, data sufficiency, and quantitative analysis in stages so that aspirants can master these critical skills.
The following is a list of the topics covered in the BSc Statistics program's curriculum:
Core Subjects:
Lab/Practical Subjects:
Elective Subjects:
The B.Sc in Statistics curriculum is a three-year undergraduate program divided into six semesters that provides in-depth knowledge of scientific and technical aspects of statistics and the opportunity to enrich knowledge through problem-solving, hands-on exercises, study visits, and projects, among other activities. The course structure is:
B.Sc Statistics is taught in several ways along with the traditional teaching approach, and some modern techniques are also used so that aspirants can have a better understanding. Innovations and Best Practices focuses on the most important aspects of teaching statistics to undergraduate students, making it a valuable resource for both new and experienced statisticians.
Some techniques are given below:
The study, analysis, interpretation, presentation, and organization of numerical data are all statistics. Statistics are used in this scientific discipline to solve industrial, social, and scientific problems.
Popular B.Sc Statistics projects are:
Experts have compiled a list of the best reference books for students pursuing a B.Sc in Statistics. Statistics students use these books at top universities worldwide and students at various other institutions and schools.
As shown in the table below, the following are the most recommended B.Sc Statistics books:
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Books |
Author |
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Introduction Methods of Numerical Analysis |
S.S Sastry |
|
Introduction to Statistical Theory |
Charles J. Stone and Sidney C. Port |
|
Theory and Analysis of Sample Survey Designs |
Daroga Singh and Fauran S. Chaudhary |
|
A Brief Course in Mathematical Statistics |
Elliot Tanis & Robert V. Hogg |
|
Fundamentals of Applied Statistics |
S.C Gupta & V.K Kapoor |
