The Department of Statistics was established in 2014. The Department offers a two years Master’s Programme in Statistics.

The main objectives of the P.G. Programme in Statistics are.

  • To train students with high level skills in becoming Professionals, Analysis experts and Consultants by embedding computer intensive methodology in Statistics.
  • To develop knowledge and expertise in computer related software, data analysis and interpretation in application areas which are suitable to science, society, business and industry.
Programme Name Duration Regular Seats Payment Seats
B.Sc.Honours in Statistics
(Self finance)
4 Years
(8 Semesters)
40 -

B.Sc. Honours in Statistics refers to a bachelor's degree in science with a specialization in Statistics, offering a deeper and more focused study of statistical concepts, methods, and applications compared to a regular B.Sc. in Statistics, allowing graduates

Eligibility :Intermediate with Mathematics as one of the subject on average of 50% marks.

Admission :Through OAMDC Portal (Merit Based)

Core Subjects :

Descriptive Statistics, Random Variables & Mathematical Expectations, Theoretical Discrete Distributions, Theoretical Continuous Distributions, Statistical Methods, Inferential Statistics, Sampling Techniques, Design And Analysis of Experiments, Numerical Analysis.

Applied Statistics, Computational Statistics and R Programming , Operations Research (or) Statistics Quality Control, Operations Techniques (or) Applied Statistics –II, Advanced Operations Research (or) Actuarial Statistics, Multivariate Analysis (or) Linear Models and Applied Regression Analysis, Advance Sampling Techniques (or) Stochastic Processes, Advanced Optimization Techniques (or) Advanced Acturial Statistics, Advanced Design and analysis of Experiments (or) Linear Algebra, Modern Inferential Statistics Practical (or) Applied Probability and Distributions.

Programmes
Programme Name Duration Regular Seats Payment Seats
M.Sc Statistics
(Self-Finance)
2 Years
(4 Semesters)
50 + 5
(EWS)
-

Eligibility : B.A. / B.Sc. with Statistics and Mathematics as main subjects (in all the three years) on average of 50% marks.

Admission : Through SPMVV CET

Core Subjects :

Probability, Distribution theory, Linear Algebra and Matrix Theory, Sampling Theory, Data Base Management Systems (DBMS), Statistical Inference – I (Theory of Estimation), Multivariate Analysis, Linear Models and Applied Regression Analysis, Stochastic Processes, Statistical Computing.

Statistical Inference–II(Tests of Hypothesis), Design and Analysis of Experiments, Mathematical Programming, Statistical Quality Control & Reliability, Programming in R, Operations Research, Time Series Analysis & Forecasting Methods, Data Analysis Using SPSS, Biostatistics/Econometrics (Internal Elective)