BSc Statistics Syllabus and Subjects 2022

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.

Semester Wise B.Sc Statistics Syllabus

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:

B.Sc Statistics First Year Syllabus
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

B.Sc Statistics Second Year Syllabus
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

B.Sc Statistics Third Year Syllabus
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

B.Sc Statistics Subjects

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:

Probability Theory
Descriptive Statistics
Probability Distributions
Linear Algebra and Population Statistics
Mathematical Methods and Probability Theory
Sampling Distributions and Statistical Infer
Quantitative analysis

Lab/Practical Subjects:

Descriptive Statistics and Probability
Inference
Statistical Methods
Sampling Theory and Time Series
Statistical Practical's using MS – Excel

Elective Subjects:

Statistical Quality Control and Reliability
BioStatistics
Actuarial Statistics
Operations Research

B.Sc Statistics Course Structure

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:

VI semesters
Practical
Project submission

B.Sc Statistics Teaching Methodology and Techniques

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:

Demonstration
hypothesis making and discussion
Problem-solving exercises
Incorporating real data into the course content

B.Sc Statistics Projects

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:

Statistical analysis of students' expenditure in tertiary institutions
Time series analysis of patient attendance
An analysis of infant mortality rate from 1995 to 2004
Statistical analysis of road accidents in Nigeria
Analysis of cash deposits pattern in commercial banks

B.Sc Statistics Reference Books

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:

B.Sc Statistics Books
Books	Author
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