IGNOU MSc Data Science study hub

Mathematical Foundations - I

Set, relations and functions, progressions, matrices and determinants, linear spaces and counting techniques and calculus.

Introduction to Data Science

Data science-1, data science-2, data visualization and interpretation and data Science-Allied areas.

Data Structures using Python

Python, arrays, stacks, queues, linked lists and trees and maps, hash tables, skip lists, search trees and sorting algorithms.

Database Management Systems

Basic concepts, database normalisation and database query, database transactions and query processing and advanced database models.

Database Management Systems

Hands-on practicals for Database Management Systems.

Data Science Lab

Hands-on practicals for Data Science.

Mathematical Foundations - II

Descriptive statistics, probability and distributions, parameter estimation and hypothesis testing and analysing data and optimisation.

Data Wrangling and Visualization

Data Wrangling-I and data Wrangling-II.

Artificial Intelligence and Machine Learning

Search, knowledge representation, machine learning and neural networks.

Predictive Data Analysis

Data analysis - an introduction, predictive data Analysis-I, predictive data Analysis-II and R- programming for data analysis.

Artificial Intelligence and Machine Learning Lab

Hands-on practicals for Artificial Intelligence and Machine Learning.

Data Analysis Lab

Hands-on practicals for Data Analysis.

Big Data Analytics

Deep Learning

Soft Computing

Cloud Computing

Big Data Analytics Lab

Hands-on practicals for Big Data Analytics.

Deep Learning Lab

Hands-on practicals for Deep Learning.

Natural Language Processing

Data Security

Project Work

Your project: proposal, building it, and the final report and viva.