M.Sc. in Statistics and Informatics

Syllabus: Semester I - Programming and Data Structure + Lab Matrix Algebra Advanced Probability Theory Numerical Analysis + Lab Applied Stochastic Processes Semester II - Data Structures and Algorithm File Organization and Database Systems Statistical Inference Regression Analysis Sampling Methodologies and Simulation + Lab Data Structure and Algorithm Lab Viva Voce Semester III - Multivariate Analysis Time Series and Forecasting Methods Data Warehousing and Data Mining Elective-I Elective-II Project Semester IV - Internet and Web-based Technologies Experimental Designs Statistical Softwares Lab Elective-III Elective-IV Special Elective Project Viva-Voce