Master's in Data Science
offered by Northwestern University

Private University
240 acre campus
Estd. 1851

Master's in Data Science
at
Northwestern University
Overview

Build the essential analysis and leadership skills needed for careers in today's data-driven world

Duration	24 months
Start from	Start Now
Total fee	₹51.37 Lakh
Mode of learning	Online
Official Website	Go to Website
Course Level	PG Degree

Master's in Data Science
at
Northwestern University
Highlights

Earn a postgraduate degree from Northwestern University
Learn from industry experts
Real-world projects that can emphasize preparation for professional practice
Financial aid available

Master's in Data Science
at
Northwestern University
Course details

Skills you will learn

Data Modeling Business Strategy R Python Data Science Accounting Statistics Forecasting

Who should do this course?

Individuals from various scientific fields who want to leverage data science techniques to analyze and interpret data in their research

What are the course deliverables?

Articulate analytics as a core strategy of data science
Transform data into actionable insights
Develop statistically sound and robust analytic solutions
Demonstrate leadership
Formulate and manage plans to address business issues
Evaluate constraints on the use of data
Assess data structure and data lifecycle

More about this course

The integration of data science and business strategy has created a demand for professionals who can make data-driven decisions that propel their organizations forward
You can build the essential analysis and leadership skills needed for careers in today's data-driven world in Northwestern's online Master of Science in Data Science program
They learn how to utilize relational and document database systems and analytics software built upon open-source systems such as R, Python, and TensorFlow
They learn how to make trustworthy predictions using traditional statistics and machine learning methods
Specialization in Analytics and Modeling, Analytics Management, Artificial Intelligence, Data Engineering, or Technology Entrepreneurship

Master's in Data Science
at
Northwestern University
Curriculum

Core Courses

MSDS 400-DL Math for Modelers

MSDS 401-DL Applied Statistics with R

MSDS 420-DL Database Systems

MSDS 422-DL Practical Machine Learning

MSDS 460-DL Decision Analytics

MSDS 485-DL Data Governance, Ethics, and Law

MSDS 498-DL Capstone or MSDS 590-DL Thesis

Electives

MSDS 402-DL Research Design for Data Science

MSDS 403-DL Data Science and Digital Transformation

MSDS 410-DL Supervised Learning Methods

MSDS 411-DL Unsupervised Learning Methods

MSDS 413-DL Time Series Analysis and Forecasting

Analytics and Modeling Specialization

DL Data Modeling for Supervised Learning

DL Data Modeling for Unsupervised Learning

Analytics Management Specialization

DL Accounting and Finance for Technology Managers

MSDS 476-DL Business Process Analytics

Artificial Intelligence Specialization

DL Natural Language Processing

DL Artificial Intelligence and Deep Learning

Data Engineering Specialization

DL Foundations of Data Engineering

DL Analytics Application Engineering

Technology Entrepreneurship Specialization

DL Technology Entrepreneurship

DL Accounting and Finance for Technology Managers

Master's in Data Science
at
Northwestern University
Faculty details

Thomas W. Miller, Faculty Director

Tom Miller is faculty director of the data science program at Northwestern University. He started with the program when it was called predictive analytics and for the past ten years has been responsible for growing the curriculum, introducing specializations, and designing numerous distance learning courses.

Abid Ali

Abid Ali currently works in Dataiku as Strategic Customer Success Manager. He has worked in consulting and product companies over the years. He has several years of international consulting experience leading, designing, and delivering large-scale data and reporting solutions in the U.S., Great Britain, Europe, and Asia Pacific.