3 Years
Under Graduate
Science
The Bachelor of Science (B.Sc.) in Statistics program offers a comprehensive curriculum that focuses on the theory, methodology, and practical application of statistical analysis. The syllabus typically includes core courses in probability theory, statistical inference, regression analysis, and experimental design. Students also delve into advanced topics such as multivariate statistics, time series analysis, non-parametric statistics, and statistical software applications. The program often incorporates real-world data analysis, statistical modelling, and research projects, allowing students to develop hands-on skills and gain practical experience in applying statistical methods to solve complex problems across various fields. Graduates of the B.Sc. in Statistics program are well-prepared for careers in data analysis, market research, quality control, finance, social sciences, and academia, as they acquire a strong foundation in statistical principles and the ability to extract valuable insights from data.
1 Year OR 1st & 2nd Semester Syllabus of Bachelor of Science (B.Sc.) Statistics
| S.no | Subjects |
| 1 | Descriptive Statistics |
| 2 | Calculus |
| 3 | Probability and Probability Distributions |
| 4 | Algebra |
2nd Year OR 3rd & 4th Semester Syllabus of Bachelor of Science (B.Sc.) Statistics
| S.No | Subjects |
| 1 | Sampling Distributions |
| 2 | Survey Sampling & Indian Official Statistics |
| 3 | Mathematical Analysis |
| 4 | Statistical Inference |
| 5 | Statistical Quality Control |
3 Year OR 5th & 6th Semester Syllabus of Bachelor of Science (B.Sc.) Statistics
| S.no | Subjects |
| 1 | Stochastic Processes and Queuing Theory |
| 2 | Statistical Computing Using C/C++ Programming |
| 3 | Design of Experiments |
| 4 | Practical and Lab Work |
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