SEMESTER 1

Descriptive Statistics 

Basic Probability

SEMESTER 2

Application of Probability in Real Life

Mathematical Analysis 

SEMESTER 3

Sampling Distributions

Statistical Inference 

Linear Algebra 

SEMESTER 4

Sampling Survey

Statistical Quality Control

Linear Model 

SEMESTER 5

Stochastic process and queuing theory 

Computer Age Statistical Techniques

SEMESTER 6

Design of Experiments

Multivariate Analysis and Nonparametric  Methods 

Discipline Specific Elective (DSE) Papers :

 1. Operations Research (Theory+ Practical) 

2. Time Series Analysis (Theory+ Practical)

 3. Econometrics (Theory+ Practical) 

4. Demography and Vital Statistics (Theory+ Practical)

 5. Financial Statistics (Theory+ Practical)

 6. Actuarial Statistics (Theory+ Practical) 

7. Survival Analysis and Biostatistics (Theory+ Practical) 

SEMESTER 1

Applied Linear Algebra

Elements of Real Analysis and Probability

Statistical Inference and Introductory Analytics

SEMESTER 2

Regression for Predictive Model Building

Optimization Techniques and Soft Computing

Stochastic Processes and its Application

Time Series Analysis  and Forecasting Methods

SEMESTER 3

Applied Multivariate Analysis and Data Mining

Advanced Business Analytics and Big Data

SEMESTER 4

Machine Learning Algorithms 

Biostatistics

*SOFTWARES: SAS, MS Excel, Power BI, SQL, Tableau

*PROGRAMMING LANGUAGES: R, Python

Elective I

Multiple Testing Problems

Robust Statistical Inference and Application to predictive model building

Supply Chain Management

Econometrics

Elective II 

Health Informatics 

Reliability Theory

HR Analytics

Statistical Fluid Mechanics

Elective III

Advanced Bayesian Inference

Retail Analytics/  Marketing Analytics

Sports and education analytics

Astrostatistics