Eligibility:
A learner for being eligible to apply for the admission to the M.Sc. degree course by papers must have passed the B.Sc. degree examination of this university or degree of any other university recognized as equivalent thereto with minimum 46 credits or its equivalent (i.e., the minimum credits required for majoring in a subject and excluding the credits of optional courses) of the subject which he or she wants to undertake for the M.Sc. degree course by papers.
Different topics covered:
- Multivariate Linear Models
- Methods of Survey Sampling
- Statistical Process Control
- Integrated Data Analytics and Visualization
- R for Statistical Computing and Analysis
- Research Methodology
- Predictive Modelling
- Multivariate Data Analysis
- Applied Stochastic Processes
- Introduction to Python and Data Analysis
- Knowledge Discovery in Databases
- Parametric Inference
- Statistical Learning Using Python
- Theory of Distribution and Probability
- Analysis of Failure Data
- Strategic Decision Making
- Forecasting: Principles and Practice
- Advanced Predictive Modelling and Decision Making
- Experimental Planning and Optimization
- On Job Training
- Research Project
