2 Years
Post Graduate
Commerce
Full Time
M.Com in Statistics syllabus includes probability, statistical inference, multivariate analysis, econometrics, data mining, and research methods.
The Master of Commerce (M.Com.) in Statistics program offers a comprehensive syllabus that equips students with advanced statistical knowledge and analytical skills. The curriculum typically covers topics such as probability theory, statistical inference, multivariate analysis, econometrics, time series analysis, and data mining. Students also delve into computer programming for data analysis, using software like R and Python. Additionally, the syllabus often includes research methodologies, enabling students to undertake independent statistical research projects. This program not only provides a strong foundation in statistical theory but also emphasizes practical applications, making graduates well-prepared for careers in data analysis, research, and decision-making in various industries.
1st Year OR 1st & 2nd Semester Syllabus of Master Of Commerce (M.Com.) Statistics
| S.no | Subjects |
| 1 | Univariate Distributions |
| 2 | Time Series Analysis |
| 3 | Non- Parametric Tests |
| 4 | Statistical Inference |
| 5 | Econometrics Methods |
| 6 | Index Numbers |
2nd Year OR 3rd & 4th Semester Syllabus of Master Of Commerce (M.Com.) Statistics
| S.No | Subjects |
| 1 | Advanced Statistics |
| 2 | Index Numbers |
| 3 | Marketing Strategies |
| 4 | Consumer Behavior |
| 5 | Product and Brand Management |
| 6 | Advanced IT Tools |
| 7 | Project Work |
back
