Post Graduate Programme in
Data Science

Data is everywhere and there is almost an urgent need to collect and preserve any data that is being generated.

This is why analytics is in the frontier of IT and has become crucial today as it aids in improving business, decision making and providing the biggest edge over the competitors.

It offers a plethora of opportunities across industries and domains.

Term 1

Fundamentals of Mathematics for Data Science
Data Structures and Algorithms
Computer Organization, Architecture and Software Systems
Programming for Data Science
Software Engineering for Data Scientists
Software Engineering Practices, OOPS,Web Development
Introduction to Python
Databases for Data Science
Data Science Process
Data Analysis
NoSQL Databases
Big Data

Term 2

Fundamentals of Machine Learning
Supervised Learning
Unsupervised Learning
Data Modeling and Advanced Data Analysis
Application of Analytics
Marketing Analytics | Financial Analytics | Predictive Analytics | Text and Sentiment Analysis
Visualization and Story Telling

Term 3

Natural Language Processing
Sentiment Analysis
API Design Integration
Django Library | API Design | Security
Cloud for Model Deployment
Cloud Deployment models | Cloud Service models | Cloud Deployment Architecture
DataScience Ethics, Privacy and Security
Project | Industry Immersion

Term 4

Capstone Project
Technical Test Prep & Aptitude Test Prep