DSDS : DEPARTMENT of STATISTICS & DATA SCIENCE
FOUNDATION STATISTICS
ST 101 : Probability and Statistics - I
ST 102 : Probability and Statistics - II
ST 103 : Probability and Statistics - III
ST 104 : Probability and Statistics - IV
ST 105 : Statistical Inference - I
ST 106 : Statistical Inference - II
ADVANCED STATISTICS
ST 201 : Stochastic Processes
ST 202 : Non Parametric Statistics
ST 203 : Multivariate Analysis
ST 204 : Regression Analysis
STH 201 : OFFICIAL STATISTICS (OS)
STH 202 : SAMPLING SURVEY (SS)
STH 203 : ECONOMETRIC METHODS (EM)
STH 204 : APPLIED STATISTICS (AS)
STH 205 : DEMOGRAPHY & VITAL STATISTICS (DVS)
STH 206 : BIO-STATISTICS (BS)
STH 207 : STATISTICAL QUALITY CONTROL (SQC)
STH 208 : LINEAR INF. & MULTIVARIATE ANALYSIS (LIMA)
STH 209 : DESIGN OF EXPERIMENTS (DOE)
FOUNDATION DATA SCIENCE
DS 101 : Computer application and Data Processing
DS 102 : Computing with C
DS 103 : Computing with R
ADVANCED DATA SCIENCE
DA 101 : Probability and Statistics
DA 102 : Linear Algebra
DA 103 : Calculus and Optimization
DA 104 : Programming, Data Structures and Algorithms
DA 105 : Database Management and Warehousing
DA 106 : Machine Learning (ML)
DA 107 : ArtificiaI Intelligence (AI)
D.S.I.M. - Department of Statistics and Information Management
DSIM 101 : Probability and Statistics {See DA 101 above}
DSIM 102 : Linear Models and Economic Statistics {See STH 208 above}
DSIM 103 : Statistical Inference and Non-Parametric Test {See ST 105, 106 & 202 above}
DSIM 104 : Stochastic Processes {See ST 201 & AS-2 in STH 204 above}
DSIM 105 : Multivariate Analysis {See ST 203 & STH 208 above}
DSIM 106 : Econometrics and Time Series {See STH 203 above}
DSIM 107 : Optimization and Statistical Computing {See DA 103 above}
DSIM 108 : Data Science, Artificial Intelligence and Machine Learning Techniques {See DA 105 above}
DSIM 109 : Database and Data Warehouse Management {See DA 105 above}