Statistics - Courses Offered & Detailed Syllabus
Courses Offered
Following courses are offered by department
| Sr. No. | Name of the Course | Year of Establishment |
|---|---|---|
1 |
B.Sc. |
1970 |
2 |
B. Com. |
1970 |
3 |
B.Sc. Computer Science |
1986 |
4 |
M.Sc. |
2009 |
Framework & Detailed Syllabus (UG & PG)
(Click on the course for the PDF)
- B.Sc Statistics NEP 2023 Pattern Framework
- B.Sc Statistics NEP 2024 Pattern Framework
- FYBSc Computer Science Practical 23CsCmpU1601 (Statistical Analysis using R programming I )
- FYBSc Computer Science Practical 23CsCmpU2601 (Statistical Analysis using R programming II)
- FYBSC Data Science (Descriptive Statistics) NEP 2024 Pattern Syllabus
- FYBCOM Statistics Sem-I & Sem-2 NEP 2023 Pattern (Business Analytics -I)
- FY OE (Statistics) NEP 2024 Pattern (Fundamentals of Statistics-I)
- FYBCOM Statistics Sem-I & Sem-2 NEP 2024 Pattern (Business Analytics -I)
- FYBSc Statistics NEP 2023 Pattern
- FYBSc Statistics NEP 2024 Pattern
- SY OE (Statistics) NEP 2024 Pattern (Applied Statistics-II)
- SYBSc Statistics NEP 2024 Pattern
- SYBSc Statistics NEP 2023 Pattern
- SYBCom (Statistics) Sem III and IV NEP 2023 Pattern ( Discrete Probability Distributions)
- SYBCom (Statistics) Sem III and IV NEP 2024 Pattern ( Discrete Probability Distributions)
- SYBSc Computer Science [Data Mining (Machine Learning)]
- TYBCom (Statistics) Sem V & VI NEP 2024 Pattern (Continuous distributions and testing of hypotheses)
- TYBCom(Statistics) Sem V and VI NEP2023 Pattern (Continuous distributions and testing of hypotheses)
- TYBSc Statistics Syllabus NEP2023 Pattern
- Lab on Statistical Methods FYBCA Syllabus NEP 2024 Pattern
- M.Sc. Statistics NEP 2023 Pattern Framework
- M.Sc Statistics Sem I and II NEP2023 Pattern
- M.Sc Statistics Sem III and IV NEP2023 Pattern
- M.Com. Statistics Sem II ( Business Statistics- I) NEP2023 Pattern
- M.Com. Statistics Sem IV ( Business Statistics- II) NEP2023 Pattern
Skill Development Courses
Following courses are conducted for skill development of M. Sc. Students:
SAS, Python, Cyber security and Human rights