Master of Science in Data Science
offered by Rochester Institute

Private University
3 Campuses
Estd. 1829

Master of Science in Data Science
at
Rochester Institute
Overview

Gain a comprehensive understanding of data science concepts, including data mining, machine learning, statistics

Duration	24 months
Total fee	₹28.98 Lakh
Mode of learning	Online
Official Website	Go to Website
Course Level	PG Degree

Master of Science in Data Science
at
Rochester Institute
Highlights

Earn a master degree from Rochester Institute of Technology
Learn from industry experts

Master of Science in Data Science
at
Rochester Institute
Course details

Skills you will learn

Data mining R Python Java Data Science Business Analytics Statistics Data Warehousing Big Data

Who should do this course?

For working professionals

What are the course deliverables?

Concepts and skills in machine learning to prepare you to build, tune, and discover actionable insights from predictive models
Programming language skills in Python and Java to be able to synthesize large unstructured data sets
Competencies in data mining, regression analysis, text mining, and predictive analytics
How to create, critically assess, interpret, and communicate rich visualizations

More about this course

The data science degree gives you the practical and theoretical skills to handle large-scale data management and analysis challenges that arise in today’s data-driven organizations
This program appeals to professionals looking to enhance their skill set, and includes opportunities for customized course work within the broad field of data science and its various application areas
You?ll be learning with students from varied professional backgrounds and working with practitioners active in the field to provide hands-on experience solving real problems
You?ll learn both practical and theoretical skills to handle large-scale data management and analysis challenges ever-present in today?s data-driven organizations

Master of Science in Data Science
at
Rochester Institute
Curriculum

Core

Applied Statistics

Software Construction

Database Design And Implementation

Foundations of Data Science and Analytics

Software Engineering for Data Science

Graduate Capstone

Electives

Topics In Data Science

Advanced Topics In Data Science

Independent Study

Data Warehousing

Data Driven Knowledge Discovery

Visual Analytics

Predictive Analytics

Time Series Analysis and Forecasting

Data Management for Business Analytics

Advanced Business Analytics

Foundations of Database System Implementation

Data Security and Privacy

Big Data Analytics

Introduction to Computing Security

Foundations of Human-Computer Interaction

Information and Interaction Design

Image Processing and Computer Vision

Non-Relational Data Management

Introduction to Health Informatics

Introduction to Data Analytics and Business Intelligence

Marketing Analytics

Statistical Software - R

Statistical Quality Control

Foundations of Statistics

Applied Linear Models - Regression

Nonparametric Statistics and Bootstrapping

Master of Science in Data Science
at
Rochester Institute
Faculty details

Michael Mior

Michael completed his Masters degree at the University of Toronto and received a PhD from the University of Waterloo. He joined RIT as an Assistant Professor in 2018. His research revolves around schema design and management and data integration for non-relational data. He is currently the director of the Data Unity Lab at RIT.

Naveen Sharma