46 courses · 139 credit hours across 4 terms
| Code | Course title | Credits | |
|---|---|---|---|
| Stat H 101 | Introduction to Statistics | 4 | Introduction, Measurement scales and variable, Data Classification, Data presentation in Tables, Graphical presentation of data, Characteristics of statistical data, Exploratory data analysis, Correlation analysis, The simple regression. |
| Stat H 102 | Probability and Probability Distributions | 4 | Elements of set theory, Elements of probability, Basic concepts of probability, Random variable and its probability distribution, Mathematical expectation, Some basic distributions. |
| Stat H 103 | Elementary Sample Survey | 2 | Preliminaries in sample survey, Basic concepts. |
| Stat H 104 | Basic Mathematics | 2 | Set Theory, The Real number system, Elementary number theory, Summation of finite series, Theory of equations, Geometry. |
| Stat H 105 | Calculus | 4 | Vector-valued functions of a single variable, Partial differentiation, Taylor’s formula (in one and in several variables). |
| Stat H 106 | Linear Algebra | 4 | Vector and Vector Set, Vector spaces, Determinants, Matrices, Inverse of a matrix, System of linear equations, Generalised inverses (g-inverses), Kronecker sum and product of matrices, Quadratic forms, Matrices of special types. |
| Stat H 107 | Introduction to Economics | 4 | Basic Concepts, Demand and supply, Elasticity, Consumer behaviour and utility, The indifference curve analysis, Theory of income distribution. |
| Stat H 108 | Statistical computing I: Introduction to SPSS | 2 | Data manipulation and transformation, Computing descriptive statistics |
| Stat H 109 | Statistical Computing II: Basic Statistics and Elementary Sample Survey | 2 | Introduction to Statistics, Exploratory data analysis, Elementary sample survey, Drawing random sample |
| Stat H 111 | Viva voce | 2 | Viva voce |
| Code | Course title | Credits | |
|---|---|---|---|
| Stat H 201 | Theory of Estimation | 4 | Concept of statistical inference, Methods of finding Point estimators, Criteria of a good estimator, Sufficiency, Interval estimation. |
| Stat H 202 | Sampling Distribution and Order Statistics | 4 | Review, Sampling distributions, Different methods of finding sampling distribution, Exact Sampling distributions, Order Statistics. |
| Stat H 203 | Introduction to Demography | 3 | Basic Concepts of Population Studies, Sources of demographic data, Demographic rates and ratios, Population change, Fertility and reproduction, Mortality, Marriage, Migration. |
| Stat H 204 | Economic Statistics | 4 | Theory of Firms, Market mechanism, Cost of Production, Pricing of the factors of production, Distribution of Income, National Income, Index Numbers. |
| Stat H 205 | Operations Research | 3 | Linear Programming, Game Theory, Integer Linear Programming, Inventory Models, Transportation Problem, Network Models. |
| Stat H 206 | Ordinary Differential Equation & Analytical Geometry | 3 | Group-A: Differential Equations, Group-B: Analytical Geometry |
| Stat H 207 | Mathematical Methods | 4 | Group A: Numerical Mathematics, Group B: Advanced Calculus |
| Stat H 208 | Real Analysis | 3 | |
| Stat H 209 | Statistical computing III: R programming | 3 | Introduction, Using R, Vectors, Objects, Matrices, List and data frames, Control statements in R, Writing new R functions, Importing data in R, Statistical analyses, Probability distribution, Numerical Mathematics |
| Stat H 210 | Statistical computing IV: Economic Statistics and Introduction to Demography | 2 | |
| Stat H 211 | Viva voce | 2 | Viva voce |
| Code | Course title | Credits | |
|---|---|---|---|
| Stat H 301 | Test of Hypothesis | 4 | Preliminaries of tests, Common tests of hypothesis, Association of attributes, Evaluation of tests, Likelihood Ratio Test, Sequential Probability Ratio Test, Non-Parametric Tests. |
| Stat H 302 | Sampling Techniques | 4 | Simple random sampling, Systematic Sampling, Stratified Sampling, Ratio & Regression estimation, Cluster sampling, Sample size. |
| Stat H 303 | Regression Analysis | 4 | Fitting a straight line by Least Squares, Checking the straight line fit, Simple Linear Regression in Matrix Notation, Multiple Linear Regression, Extra Sums of squares and Tests, More on checking fitted models, Multiple regression- special topics, Transformation of independent variables, Transformation of the response variable, Indicator/Dummy variable, Selecting the “Best” regression equation, Ridge regression, Orthogonal polynomials |
| Stat H 304 | Epidemiology | 4 | Epidemiologic Concepts, Types of Epidemiologic Research, Measures of Disease Frequency, Measures of Association, Measures of Potential Impact, Diagnostic Testing, Validity, Stratified Analysis, Matching, Interaction, Effect Modification and Synergism, |
| Stat H 305 | Industrial Statistics and Official Statistics | 3 | Elementary concepts of industrial statistics, Statistical quality control, Official statistics |
| Stat H 306 | Mathematical Demography and Actuarial Statistics | 3 | Errors in demographic data, Standardization of demographic measures, Life table, Population Models, Nuptiality, Population Projection, Actuarial Statistics, Economics of insurance, Individual short-term risk models |
| Stat H 307 | Simulation | 3 | Introductory Examples of Simulation, Estimation, and Graphics; Generators, Generating random samples, Monte Carlo methods, Variance reduction techniques, Screening Tests, Metropolis algorithm, Markov chains and Gibbs sampler, |
| Stat H 308 | ANOVA and Linear Inference | 2 | Basic concepts of ANOVA, ANOVA Techniques, Hierarchical Classification, Linear Inference, Variance-Component Analysis, ANOVA Theorem. |
| Stat H 309 | Research Methodology | 4 | Research and methods, Research Design, Data collection methods and techniques, Qualitative data collection, PRA methods, FGD methods, Measurement of reliability and validity of data, Research Proposal Writing, Research Report Writing, Research Communication, Bibliography and Quotation, Monitoring and Evaluation, Logical Framework in Research Project, Ethics in Research |
| Stat H 310 | Statistical computing V: Introduction to SAS and STATA | 3 | Introduction to SAS, Introduction to STATA |
| Stat H 311 | Statistical computing VI: Regression Analysis& Industrial Statistics and Official Statistics (Using R/SAS/SPSS/STATA) | 2 | Regression Analysis, Industrial Statistics |
| Stat H 312 | Viva Voce | 2 | Viva Voce |
| Code | Course title | Credits | |
|---|---|---|---|
| Stat H 401 | Multivariate Analysis | 3 | Introduction, Multivariate distributions, Distribution of quadratic forms, Inference about a Mean Vector, Comparisons of Several Multivariate Means, Multivariate Linear Regression Models |
| Stat H 402 | Time Series Analysis | 3 | Fundamental concepts, Stationary time series models, Moving average processes, Nonstationary time series models, Autoregressive integrated moving average (ARIMA) models, Forecasting, Model identification, Parameter estimation, diagnostic checking and Model selection, Seasonal time series models, Testing for a unit root. |
| Stat H 403 | Design and Analysis of Experiment | 3 | Basic concepts of Experiments and designing, Experimental Units, Basic Experimental designs, Multiple Comparison, Missing plot techniques, Factorial Experiments, Experiments with Random Factors |
| Stat H 404 | Econometrics | 4 | Concepts, Measures of Model Adequacy, Model Misspecification, Regression with Qualitative dependent variable, Generalized least squares (GLS), Multicollinearity, Autocorrelation, Heteroscedasticity, Simultaneous equation models, Identification, Nonlinear Regression Models, Dummy variable regression models, Time Series Econometrics. |
| Stat H 405 | Survival Analysis | 3 | Basic Concepts of Lifetime Distributions, Important Lifetime Distributions, Estimation and Test, Incomplete Data, Parametric Methods, Non-parametric Methods, Comparison of Survival Curves, |
| Stat H 406 | Stochastic Process | 3 | Markov Chain, Homogeneous Markov Process, Queuing Process, |
| Stat H 407 | Generalized Linear Models | 3 | Introduction to GLMs, Inference for GLMs, Models for categorical responses, Models for Count Data, |
| Stat H 408 | Comprehensive | 4 | |
| Stat H 409 | Statistical computing VII: Multivariate Analysis and Experimental Design (Using R/SAS/SPSS/STATA) | 2 | Experimental Design, Multivariable Analysis, |
| Stat H 410 | Statistical computing VIII: Survival Analysis and Time Series Analysis (Using R/SAS/SPSS/STATA) | 2 | Survival Analysis, Time Series Analysis, |
| Stat H 411 | Statistical Computing IX: Econometrics and Generalized Linear Models (Using R /SAS/SPSS/STATA) | 2 | Econometrics, Generalized Linear Models, |
| Stat H 412 | Research Project (70%+30%) | 2 | Organization of Project group, Conducting a project, Evaluation of Project |
| Stat H 413 | Viva voce | 2 | Viva voce |