As you have asked about the course structure of the MSc APPLIED STATISTICS AND INFORMATICS course of the Indian Institute of Technology (IIT), Bombay, I am giving you information about it

I Semester

Linear Algebra
Real Analysis
Introduction to Mathematical Software
Introduction to Probability Theory
Combinatorics
Computer Programming and Utilization

II Semester

Statistical Inference
Applied Stochastic Processes
Algorithms
Optimization
Advanced Programming and Unix Environment
Regression Analysis

III Semester

Topics in Theoretical Computer Science
Numerical Analysis
Elective I
Elective II
Elective III
Project Stage I

IV Semester

Time Series Analysis
Information System
Elective IV
Elective V
Elective VI
Project Stage II

List of Electives

M.Sc. (APPLIED STATISTICS AND INFORMATICS)

Elective I
MA 419 Basic Algebra
SI 503 Categorical Data Analysis

Elective II
MA 417 Ordinary Differential Equations
SI 505 Multivariate Analysis

Elective III
MA 533 Advanced Probability
SI 528 Biostatistics
SI 511 Computer Aided Geometric Design
SI 513 Theory of Sampling
SI 515 Statistical Techniques in Data Mining
SI 525 Testing of Hypothesis
EE 649 Finite Fields and their Applications

Elective IV
SI 512 Finite Difference Methods for Partial Differential Equations
SI 526 Experimental Designs

Elective V
SI 508 Network Models
SI 534 Nonparametric Statistics

Elective VI
SI 514 Statistical Modeling
SI 527 Introduction to Derivative Pricing
SI 530 Statistical Quality Control
SI 532 Statistical Decision Theory
SI 540 Stochastic Programming and Applications
SI 542 Mathematical Theory of Reliability
CS 206 Formal Methods in Computer Science
EE 636 Matrix Computations
EE 720 An Introduction to Number Theory and Cryptography