Statistics is the science or practice of collecting data and performing analysis on it. The data collected is cleaned up and analysis is done to find out patterns in them. Forecasts and predictions can also be derived from said data. All results are then put together in a report format for further use. Statistics is popularly used in Business, Economics, Psychology, and also education fields.
In India, students can pursue Statistics courses at Diploma, UG, PG, PhD as well as Certificate levels. Some top Statistics courses include MSc Statistics, BSc Statistics, PhD Statistics, Statistics Certifications, etc.
The course structure of Statistics is in such a way that an undergraduate course like BA or BSc in Statistics lasts for 3 years comprising 6 semesters (2 semesters each year). Whereas, a Postgraduate degree like MA or MSc in Statistics lasts for 2 years, comprising 4 semesters.
The common subjects of Statistics Courses at any level majorly include Statistical Methods, Probability Theory, Vectors and Matrices, C or C++ Programming, Numerical Analysis, Elementary Inference, Statistical Quality Control, Calculus, Algebra, Mathematical Analysis, Practicals, etc.
Any individual who wishes to work in the field of Data Science, Data Analytics, or Research should pursue Statistics. Graduates are hired in job profiles like Statistician, Data Analyst, Financial Analyst, Cost Estimator, Researcher or Professor. The average salary offered after Statistics courses can range anywhere between INR 3,00,000 to INR 12,00,000 per annum in India.
3.3 B Stat Subjects
Semester Wise Statistics Subjects
- Both undergraduate and postgraduate level courses in Statistics are taught in a semester system.
- A semester system consists of 6 months, meaning one year will have two semesters.
- For a 3-year long undergraduate program, there are 6 semesters.
- There are written examinations and practical examinations at the end of each semester.
- For masters level courses, there is project work and a viva voce at the end.
- A sample syllabus for the entire programme of Statistics is tabulated below.
| Semester I | Semester II |
|---|---|
| Statistical Methods I | Statistical Methods II |
| Probability Theory | Probability Distributions |
| Practicals | Practicals |
| Semester III | Semester IV |
| Elementary Inference | Parametric and Non-Parametric Tests |
| Sample Surveys | Design of Experiments |
| Practicals | Practicals |
| Semester IV | Semester VI |
| Numerical Methods and Fundamentals of Computers | Statistical Quality Control |
| Applied Statistics | Operations Research |
| Practicals | Practicals |
Statistics Subjects List
- Statistics courses have similar subjects but the approach to teaching them is different.
- For instance, in BS Statistics subjects list teaches subjects more in-depth.
- While the BSc Statistics subjects are taught in a scientific approach.
- The table lists the common subjects under Statistics across all degree programmes as below.
| Probability and Probability Distribution | Vector and Matrices |
| Descriptive Statistics | Statistical Methods |
| Stochastic Processes | Calculus |
| Statistical Quality Control | Multivariate Analysis and Nonparametric Methods |
| C/C++ Programming | R Programming |
| Analytical tools for Statistics | Numerical Analysis |
| Elementary Inference | Parametric and Non-Parametric Tests |
Course Wise Statistics Subjects
At the bachelor’s level, statistics subjects in degrees in institutes include the very basics of Statistics to advanced subjects.
- The subjects that are covered in syllabuses are different from institute to institute.
- Some core subjects or mandatory subjects that all students learn are Probability and Probability Distribution, Descriptive Statistics, Vector and Matrices, Statistical Methods, Stochastic Processes etc.
- Elective papers are divided into generic and discipline specific.
- Discipline specific are Operations Research, Times Series Analysis, Econometrics, Financial Statistics, Actuarial Statistics etc.
- Skill enhancement courses include Data Analytics using R, Data Analysis using C and C++ etc.
- Additionally, generic elective subjects include Applied Statistics, Research Methodology, Basics of Statistical Inference etc.
BSc Statistics Subjects
- The subjects in the BSc Hons. Statistics programs are taught over six semesters.
- Each subject has theory classes and practical classes too. The table below lists all the Statistics subjects listed.
| Semester I | Semester II |
|---|---|
| English/Environmental Science | English/Environmental Science |
| Descriptive Statistics | Probability and Probability Distribution |
| Lab Work | Lab Work |
| Calculus | Algebra |
| Tutorial | Tutorial |
| Elective | Elective |
| Semester III | Semester IV |
| Sampling Distributions | Statistical Inference |
| Lab Work | Lab Work |
| Survey Sampling and Indian Official Statistics | Linear Models |
| Lab Work | Statistical Quality Control |
| Mathematical Analysis | 2 Electives(Skill Enhancement and Interdisciplinary) |
| 2 Elective (Skill Enhancement or Interdisciplinary) | - |
| Semester V | Semester VI |
| Stochastic Processes and Queuing Theory | Design of Experiments |
| Lab Work | Lab Work |
| Statistical Computing Using C/C++ Programming | Multivariate Analysis and Nonparametric Methods |
| 2 Discipline Specific Electives and Lab Work | 2 Discipline Specific Electives and Lab Work |
MSc Statistics Subjects
- The MSc Statistics course is taught over 2 years.
- The table below lists the subjects taught across 4 semesters in a sample masters degree.
| Semester I | Semester II |
|---|---|
| Analytical tools for Statistics I | Distribution Theory |
| Analytical tools for Statistics II | Probability Theory II |
| Probability Theory I | Applied Statistics |
| Sampling Techniques R Programming | Practical I using R |
| Semester III | Semester IV |
| Statistical Inference I | Design and Analysis of Experiments |
| Statistical Inference II | Stochastic Processes |
| Multivariate Analysis | Elective II |
| Elective I | Practical Using R |
| Project Work and Viva Voce | Project Work and Viva Voce |
B Stat Subjects
- For a Bachelor of Statistics, the courses are similar to a Bachelor of Science in Statistics.
- The BS Statistics subjects semester 1 as well as for other semesters includes both theoretical and practical subjects. The BS Statistics subjects list is as below.
| Semester I | Semester II |
|---|---|
| Analysis I | Analysis II |
| Probability Theory I | Probability Theory II |
| Vector and Matrices I | Vector and Matrices II |
| Statistical Methods I | Statistical Methods II |
| Introduction to Programming and Data Structures | Numerical Analysis |
| Remedial English | - |
| Semester III | Semester IV |
| Analysis III | Introduction to Stochastic Processes |
| Probability Theory III | Discrete Mathematics |
| Statistical Methods III | Statistical Methods IV |
| Elements of Algebraic Structures | Differential Equations |
| Elective Course I | Elective Course II |
| Semester V | Semester VI |
| Linear Statistical Models | Nonparametric and Sequential Methods |
| Parametric Inference | Design of Experiments |
| Sample Surveys | Statistics Comprehensive |
| Economic and Official Statistics and Demography | Statistical Quality Control and Operations Research |
| Design and Analysis of Algorithms | Optional Course |
BA Statistics Subjects
- For students who wish to study in the Bachelor of Arts degree in Statistics programme, the programme is taught over 3 years.
- The table below lists the syllabus for a sample BA Statistics course.
| Semester I | Semester II |
|---|---|
| Statistical Methods I | Statistical Methods II |
| Probability Theory | Probability Distributions |
| Practical | Practical |
| Semester III | Semester IV |
| Elementary Inference | Parametric and Non-Parametric Tests |
| Sample Surveys | Design of Experiments |
| Practical | Practical |
| Semester V | Semester VI |
| Applied Statistics | Statistical Quality Control |
| Numerical Methods and Fundamentals of Computers | Operations Research |
| Practical | Practical |
Statistics Course Structure
- The structure of a Statistics course includes core courses that must be mandatorily completed by all students.
- Also, there are elective courses that students can choose from based on their choice.
- Elective choices include skill enhancement, generic, and specialisation specific.
- For each subject, there will be both theory and practical sessions.
- One successfully passes both the written paper and the practical sessions in order to graduate.
Check: Statistics Certificate Courses
Statistics Projects
As a part of the course structure for Master of Science (MSc) in Statistics and other similar masters degrees, one must do project work. Post submitting the project, students will have to sit for a viva-voce.
Upon successfully completing both rounds, the individual can graduate. For topics related to project work, students can pick any topic related to the subjects learned.
Some sample project topics are listed below:
- Multivariate Multilevel Modelling
- Modelling Seasonality in Temperature Series
- Measures and Estimators of Stock Volatility
- Weather Derivative Pricing
- Statistical Modelling of Grid Frequency Time Series
- Valuation of Options: Numerical Methods
- Periodic Autoregressive Time Series Models: A Bayesian Approach
- Bootstrap for Time Series
- Regression Analysis on National Income
Statistics Subjects: FAQs
Ques. What is BSc Statistics?
Ans. Bachelor of Science in Statistics is a three-year long undergraduate course. Students are taught in basics to advanced topics of Statistics. After graduating with a BSc Statistics degree, one can either enrol into an MSc In Statistics degree or look for jobs as Economist or Data Analyst.
Ques. How many subjects in degree?
Ans. In an average programme, Statistics honours subjects are around 27 papers in total. For masters degrees, the number of subjects is lesser. BS statistics subjects Philippines and BS statistics subjects Pakistan have a similar number of subjects.
Ques. What are the subjects in BSc Statistics?
Ans. The subjects for Statistics in BSc Statistics includes theoretical classes and practical or lab work classes for said theory classes.
Ques. How many groups in BSc?
Ans. There are several groups of types of BSc specialisations. These include Information Technology, Computer Science, Nursing, Fashion Design, Animation, Hospitality and Agriculture. The BSc Statistics group subjects are another popular choice for students.
Ques. What is Statistics in BSc?
Ans. In Bachelor of Science, Statistics is taught both in theory and practical classes. Students can learn Probability and Statistical Methods, Survey Sampling, Numerical Analysis etc. Some institutes also offer programming classes in R and C or C++ to apply the learned material.
Ques. What is Statistics as a subject?
Ans. Statistics is the study of collecting data and analysing them to find out patterns and forecasts. The resultant report is used for major business decisions and also in Economics, Education and Psychology fields.
Ques. How many subjects to study per day?
Ans. Statistics involves both theoretical and practical classes in a day. At least three theoretical classes are taught in a day in Statistics courses. The percentage of subjects that are theoretical in a week is quite high.
Ques. What are subjects in Statistics?
Ans. In Statistics, one can expect to learn about Probability and Probability Distribution, Descriptive Statistics, Vector and Matrices, Statistical Methods, Stochastic Processes among others.
Ques. How many subjects in BSc Statistics?
Ans. The number of subjects in BSc Statistics are different from institute to institute. On an average, bachelors courses have 27 subjects across three years while masters courses have around 15 to 16 subjects.
Ques. How to study many subjects?
Ans. In order to study many subjects one must prepare a study plan covering all the subjects. Allot time for each subject and stick to the plan.
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