M.Sc. in Data Science

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Course Description

Semester 1



Computational Mathematics

Probability and Probability Distribution

Programming with R and Python

Statistical Inference

Database Management

Semester 2

Linear Regression Models

Categorical Data Analysis and Generalized Linear Models

Distributed Algorithms and Optimization with Hadoop and Spark

Stochastic Processes

Design and Analysis of Experiments

Mini Project


Semester 3

Longitudinal Data Analysis

Machine Learning Methods

Deep Learning and Text Mining

Bayesian Statistical Modelling

Elective 1: (Choose one) Health Technology Assessment / Image Processing and Analysis

Elective 2: (Choose one) Nonparametric and Nonlinear Regression Models / Time Series Analysis


Semester 4



Programming in SAS for Analytics

Applied Data Analytics

Research Methodology

Capstone Project