Explore the comprehensive syllabus of the Bachelor of Science (B.Sc. Hons.) in Statistics course. Dive into the subjects and mathematical expertise that will shape your statistical acumen.
The Bachelor of Science (B.Sc. Hons.) in Statistics program offers a comprehensive syllabus that covers a broad spectrum of foundational and advanced topics in statistics and data analysis. Core courses typically include statistical theory, probability theory, mathematical statistics, and statistical computing. Students delve into subjects such as regression analysis, experimental design, and multivariate statistics. Advanced coursework often explores specialized areas such as time series analysis, nonparametric statistics, and Bayesian statistics. Practical components may involve data analysis projects, statistical software applications, and hands-on experience with statistical tools. Additionally, students may have the opportunity to choose elective courses to tailor their studies to specific interests like data science, biostatistics, or business analytics. This rigorous and quantitative curriculum equips graduates with the statistical expertise and analytical skills needed for careers in data analysis, research, financial modelling, and decision-making across various sectors, where they can play a crucial role in solving complex problems and making data-driven decisions.
1st Year OR 1st & 2nd Semester Syllabus of Bachelor Of Science (B.Sc. Hons.) 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. Hons.) Statistics
S.No | Subjects |
1 | Sampling Distributions |
2 | Survey Sampling and Indian Official Statistics |
3 | Mathematical Analysis |
4 | Statistical Inference |
5 | Linear Models |
6 | Statistical
Quality Control |
3rd Year OR 5th & 6th Semester Syllabus of Bachelor Of Science (B.Sc. Hons.) Statistics
S.no | Subjects |
1 | Stochastic Processes and Queuing Theory |
2 | Statistical Computing Using C/C++ Programming |
3 | Design of Experiments |
4 | Multivariate Analysis and Nonparametric Methods |
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