BSc Statistics is a 3 year course that deals with mathematical subjects like statistics, data analysis and modeling, regression, etc. Some top colleges include Statistical software, programming languages, and research projects in BSc Statistics Syllabus.
BSc Statistics Admission takes place both through merit based and entrance Exams. BSc Statistics has many electives like Algebra, Calculus, Proofs and Problem Solving, Probability Analysis etc. Top BSc Statistics Colleges are University of Calcutta, Lady brebourne, Scottish Church etc.
See Also: Statistics Courses
BSc Statistics Syllabus equips students to work as Statistician, Market Research Analysts, Technical Writers, Consultant, Biostatistician, Content Analyst, Research Associate, Data Analyst etc Practical subjects of BSc Statistics are Descriptive Statistics and Probability, Inference, Statistical Methods, Sampling Theory and Time Series.
Table of Contents
4.1 BSc Computer Science Statistics Syllabus
BSc Statistics Course Details
| Course Name | Bachelor of Science in Statistics |
| Course Level | Undergraduate |
| BSc Statistics Duration | 3 to 4 years |
| BSc Statistics Admission Process | Merit based/Entrance Exam |
| BSc Statistics Top Entrance Exam | GSAT, BHU UET, DSAT, SUAT |
| BSc Statistics Eligibility | 10 + 2 with Maths as a core subject |
| BSc Statistics Top Colleges | Fergusson College, St. Xavier’s College, Mount Carmel College, Christ University, Ramnarain Ruia Autonomous College, etc |
| BSc Statistics Average Fees | INR 20,000-1,50,000 |
BSc Statistics Syllabus
| Semester I | Semester II |
|---|---|
| Inequalities | Differential Calculus |
| Demoivre’s theorem | Review of Differential Equations |
| Equations theories, Fundamental theorem of algebra and its consequences. | Review of Integration and Definite Integrals |
| Semester III | Semester IV |
| Probability Theory | Index Numbers |
| Statistical Methods | Mathematical Finance |
| Random Variables | Utility and Production Functions |
| Expectation of Random Variable and its Properties | Time Series |
| Measures of Location (or Central Tendency) and Dispersion | Demand Analysis |
| Semester V | Semester VI |
| Stratified Random Sampling | Numerical Analysis |
| Fundamental Theorem of Algebra and its Consequences | Inverse Interpolation |
| Basic Sampling Methods | General Linear Models |
| Sample Surveys | Numerical Integration |
BSc Statistics Subjects
BSc Statistics Subjects are spread across 6 semesters. Students need to have an idea about the subjects they will be studying in this course. Important subjects of BSc Statistics are mentioned below:
BSc Statistics Syllabus: First Year Subjects
- Inequalities: Inequality is a relation, it makes a non-equal comparison between two numbers. Mostly used to compare two numbers on the number line by their size.
- Differential Calculus: Differential calculus deals with the rate of change of one quantity with respect to another. For example, the rate of change of x with respect to y is expressed as dx/dy.
- Demoivre’s theorem: To find roots of complex numbers De Moivre's theorem is used. It is also used to solve complex numbers raised to powers.
- Equations theories, Fundamental theorem of algebra and its consequences: Fundamental theorem of algebra, proved by Carl Friedrich Gauss states that every polynomial equation of degree n with complex number coefficients has n roots.
- Review of Integration and Definite Integrals: Definite integral means a number when the lower and upper limits are constants and indefinite integral represents a family of functions whose derivatives are f.
See Also:
BSc Statistics Syllabus: Second Year Subjects
- Probability Theory: Probability theory is concerned with probability. There are several different probability interpretations, it treats the concept in a rigorous mathematical manner.
- Index Numbers: An index number evaluates variations in a variable or group of variables in regard to geographical location, time, and other features.
- Statistical Methods: The two main statistical methods are used in data analysis, which summarizes data using indexes and inferential statistics, which draws conclusions using statistical tests.
- Mathematical Finance: Financial mathematics can be applied to investing strategies. It is the understanding of how to analyze data and make predictions that can help make smart investments.
- Utility and Production Functions: Production function, isoquants indicate the combination of two inputs that produce the same level of outputs and in the utility function, indifference curves show the combination that gives the consumers the same level of utility.
See Also:
BSc Statistics Syllabus: Third Year Subjects
- Stratified Random Sampling: Stratified random sampling involves the division of a population into smaller subgroups known as strata. It is formed based on members' shared attributes or characteristics.
- Numerical Analysis: Numerical analysis solves continuous problems using numeric approximation. It involves designing methods that give approximate but accurate numeric solutions.
- Inverse Interpolation: Process of finding the value of the argument corresponding to a given value of the function, between two tabulated functional values.
- Sample Surveys: Sample surveys focus on selecting a set of individuals capable of representing the target population. Its aim is to gather the information that will boost data collection.
- Numerical Integration: The approximate computation of an integral using numerical techniques is Numerical Integration. The numerical computation of an integral is called quadrature.
See Also:
Syllabus of Courses Similar to BSc Statistics
There are various other degree courses similar to BSc statistics and students will be able to have similar careers. The syllabus of these courses are mentioned below:
BSc Computer Science Statistics Syllabus
| Semester I | Semester II |
|---|---|
| Introduction to Digital Electronics | Office Management |
| Basics of Computer Science | Value and Ethics |
| Engineering Mathematics | Advance Mathematics |
| Environmental Sciences | Computer Application |
| Communication English-I | Open Source Software Platform-LINUX |
| Semester III | Semester IV |
| Technical Writing | Report Writing |
| Programming language using C++ | Computer Networking |
| Operating Systems concepts | Numerical Analysis |
| Fundamental of Data Structures | System Programming |
| System Analysis and design | Database Management Systems |
| Analytical Skill Development-I | Analytical Skill Development-II |
| Semester V | Semester VI |
| Python programming | Project Work |
| Trial Project | Introduction to Web Technology |
| Introduction to Software Engineering | |
| Mobile Application Development | |
| Personality Development Program |
BSc Mathematics and Statistics Syllabus
| 1st Year | |
|---|---|
| Linear Algebra | Introduction to Vector Calculus |
| Real Analysis | ODEs and Applications |
| Mathematical Foundation & Analysis | Probability I |
| Mathematical Problem Solving | Statistics I |
| 2nd Year | |
| Real Analysis A | Random Models |
| Algebraic Structures 1 | Statistical Methods |
| Partial Differential Equations and Vector Calculus A | Practical Statistics |
| Probability 2 | Metric Spaces |
| Calculus of Several Variables | - |
| 3rd Year | |
| Foundations of Finance A | Quantum Computing |
| Double Project | Mathematics Education |
| Project | Linear Analysis |
| Fractal Geometry | Topology |
BSc in Economics Mathematics Statistics
| Semester I | Semester II |
|---|---|
| Additional English | Additional English |
| Principles Of Microeconomics | Principles Of Macroeconomics |
| Differential Calculus | English - Ii |
| Differential Calculus Using Maxima | French |
| Descriptive Statistics And Probability | Hindi |
| Descriptive Statistics And Probability Practical | Kannada |
| English - I | Differential Equations |
| French | Differential Equations Using Maxima |
| Hindi | Sanskrit |
| Kannada | Statistical Methods |
| Sanskrit | R Programming |
| Tamil | Statistical Methods Practical |
| - | Tamil |
| Semester 3 | Semester 4 |
| Additional English | Additional English |
| Fundamentals Of Economic Growth And Development | Advanced Micro And Macroeconomics |
| Real Analysis | International Economics |
| Introduction To Python Programming For Mathematics | Introduction To Mathematical Modelling Using Python |
| Statistical Inference | Algebra |
| Applied Excel | Sampling Techniques |
| Statistical Inference Practical | Sampling Techniques Practical |
| English - Iii | English - Iv |
| French | French |
| Hindi | Hindi |
| Kannada | Kannada |
| Sanskrit | Sanskrit |
| Tamil | Tamil |
| Semester 5 | Semester 6 |
| Research Methodology For Economics | Introduction To Econometrics |
| Mathematical Economics | Dissertation |
| Linear Algebra | Complex Analysis |
| Linear Algebra Using Python | Complex Analysis Using Python |
| Linear Regression Models | Time Series Analysis And Forecasting Techniques |
| Linear Regression Models Practical | Electives |
| Electives | - |
See Also: Top BSc Statistics Colleges in India
BSc Statistics Syllabus in UGC
| Semester I | Semester II |
|---|---|
| English/MIL Communication) /Environmental Science | Environmental Science/ (English/MIL Communication) |
| Descriptive Statistics | Probability and Probability Distributions |
| Practical/Lab. work | Practical/Lab. work |
| Calculus | Algebra |
| Practical/Lab. work | Tutorial |
| Tutorial | Any one from the List of Generic Elective / Interdisciplinary Courses from other Subjects |
| Practical/Lab. Work | Practical/Lab. Work |
| Semester III | Semester IV |
| Sampling Distributions | Statistical Inference |
| Practical/Lab. Work | Practical/Lab. Work |
| Survey Sampling & Indian Official Statistics | Linear Models |
| Practical/Lab. Work | Statistical Quality Control |
| Mathematical Analysis | Any one from the List of Skill Enhancement Electives |
| Any one from the List of Skill Enhancement Electives | Any one from the List of Skill Enhancement Electives |
| Any one from the List of Generic Elective / Interdisciplinary Courses from other Subjects | - |
| Practical/Lab. Work | - |
| Semester V | Semester VI |
| Stochastic Processes and Queuing Theory | Design of Experiments |
| Statistical Computing Using C/C++ Programming | Multivariate Analysis and Nonparametric Methods |
| Any one from the List of Discipline Specific Elective(DSE) | Any one from the List of Discipline Specific Elective(DSE) |
| Any one from the List of Discipline Specific Elective(DSE) | Any one from the List of Discipline Specific Elective(DSE) |
| Practical/Lab. work | Practical/Lab. work |
BSc Statistics Syllabus in Swami Ramanand Teerth Marathwada University
BSc Statistics Syllabus in Swami Ramanand Teerth Marathwada University is mentioned below
| Semester I | Semester II |
|---|---|
| Elementary Probability Theory | Discrete Probability Distributions |
| Descriptive Statistics | Theory of variables and attributes |
| - | Annual Practical |
| Semester III | Semester IV |
| Continuous Probability Distributions | Exact Sampling Distributions |
| Applied Statistics | Statistical Inference & Computing Using R |
| Practicals | SEC II (Anyone Skill from optional) |
| SEC I (Anyone Skill from optional) | Practicals |
| Semester V | Semester VI |
| Survey Sampling | Design of Experiments |
| Linear Programming(Elective) | Operations Research |
| Statistical Quality Control | Demography(Elective) |
| SECS – III | SECS – IV |
| - | Practical’s based on theory papers |
BSc Statistics Syllabus in Viswa Bharati University
BSc Statistics Syllabus at Viswa Bharati University is mentioned below
| Semester I | Semester II |
|---|---|
| (English/MIL Communication) /Environmental Science | Environmental Science/(English/MIL Communication) |
| Descriptive Statistics (Theory) | Probability and Probability Distributions(Theory) |
| Descriptive Statistics (Practical/Lab Work) | Probability and Probability Distributions (Practical/Lab Work) |
| Calculus (Theory) | Algebra (Theory) |
| Calculus (Tutorial) | Algebra (Tutorial) |
| Practical/Lab Work | Practical/Lab Work |
| Semester III | Semester IV |
| Sampling Distributions(Theory) | Survey Sampling & Indian Official Statistics (Theory) |
| Sampling Distributions (Practical/Lab Work) | Survey Sampling & Indian Official Statistics (Practical/Lab Work) |
| Statistical Inference (Theory) | Linear Models (Theory) |
| Statistical Inference (Practical/Lab. Work) | Linear Models (Practical/Lab. Work) |
| Mathematical Analysis (Theory) | Statistical Quality Control (Theory) |
| Mathematical Analysis (Tutorial) | Statistical Quality Control (Practical/Lab. Work) |
| Practical/Lab Work | Practical/Lab. Work |
| Semester V | Semester VI |
| Stochastic Process and Queuing Theory (Theory) | Design of Experiments(Theory) |
| Stochastic Process and Queuing Theory (Practical/Lab Work) | Design of Experiments (Practical/Lab Work) |
| Statistical Computing using C/C++ Programming (Theory) | Multivariate Analysis and Nonparametric Methods (Theory) |
| Statistical Computing using C/C++ Programming | Multivariate Analysis and Nonparametric Methods (Practical/Lab. Work) |
| Any one from the List of Discipline Specific Electives | Any one from the List of Discipline Specific Electives |
| Practical/Lab Work | Practical/Lab Work |
BSc Statistics Books
| Name of the Book | Author |
|---|---|
| Introduction to Statistical Theory | Charles J. Stone and Sidney C. Port |
| Introduction Methods of Numerical Analysis | S.S Sastry |
| Fundamentals of Applied Statistics | S.C Gupta & V.K Kapoor |
| A Brief Course in Mathematical Statistics | Elliot Tanis & Robert V. Hogg |
| Theory and Analysis of Sample Survey Designs | Daroga Singh and Fauran S. Chaudhary |
BSc Statistics Syllabus: FAQs
Ques. What is BSC Statistics?
Ans. A BSc Statistics is a 3 year bachelor's degree program, it equips students with problem-solving skills and mathematical comprehension important for tackling diverse statistical applications.
Ques. What are the Job options after BSc Statistics?
Ans. BSc Statistics graduate can expect job positions like Statistician, Risk Analysis, Actuary Manager, etc.,
Ques. What are the core subjects in BSc Statistics?
Ans. Core Subjects in Bsc Statistics:
- Probability Theory
- Descriptive Statistics
- Probability Distributions
- Linear Algebra and Population Statistics
- Mathematical Methods and Probability Theory
- Sampling Distributions and Statistical Infer
- Quantitative analysis
Ques. What are the Top colleges for BSc Statistics?
Ans. The top colleges for BSc Statistics are: Fergusson College, St. Xavier’s College, Mount Carmel College, Christ University, Ramnarain Ruia Autonomous College, etc
Ques. What are the Lab/practical Subjects in BSc Statistics?
Ans. The Lab/Practicals subjects in BSc Statistics:
- Descriptive Statistics and Probability
- Inference
- Statistical Methods
- Sampling Theory and Time Series
- Statistical Practical's using MS – Excel
Ques. What is the average salary after completing BSc Statistics?
Ans. BSc Statistics grduate can get a starting salary of INR 2.5 lakhs to 3.5 lakhs per year, this can go up to INR 4.5 lacs per year
Ques. Is it worth doing BSc Statistics?
Ans. Yes, it is worth doing BSc Statistics because after completion of the course, students may choose from various job options, they can apply for Indian Statistical services, Civil services, and Indian Economic Services exams or can pursue a lucrative career in diverse fields.
Ques. What are the electives in BSc Statistics?
Ans. Elective Subjects in BSc Statistics are:
- Statistical Quality Control and Reliability
- BioStatistics
- Actuarial Statistics
- Operations Research
Ques. What are the project topics in BSc Statistics?
Ans. Popular ptoject topics 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
Ques. What are the techniques of teaching BSc Statistics?
Ans. Some of the techniques are:
- Demonstration
- hypothesis making and discussion
- Problem-solving exercises
- Incorporating real data into the course content
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