MSDS Degree Requirements Overview
Covering the discipline of data science
Degree Requirements
Data science is an eclectic discipline. With more than forty courses across five specializations, Northwestern’s MSDS program covers the full range of data science.
Math for Modelers
Math is at the heart of data science
Applied Statistics with R
Exploratory data analysis and traditional statistics
Database Systems
Relational, document, graph, and graph-relational databases
Practical Machine Learning
Survey of modeling methods for data science
Decision Analytics
Mathematical programming and simulation methods
Data Governance, Ethics, and Law
Data science and society
Research Design for Data Science
Data science relies on the scientific method
Data Science and Digital Transformation
Seeing how data science affects organizations
Technology Entrepreneurship
Data science startup opportunities abound
Management Consulting
Communication with clients is key
Accounting and Finance for Technology Managers
Understanding the language of business
Project Management
Assigning appropriate resources to deliver solutions on time
Business Process Analytics
Putting data science into practice
Business Leadership and Communications
Working with data science teams and organizations
Python for Data Science
Coding solutions for machine learning and AI
Data Engineering with Go
Implementing scalable, high-performance solutions
Special Topics and Independent Study
Many other elective opportunities
MSIS Courses
Electives may be selected from the MSIS program
Capstone or Thesis
Two ways to finish the MSDS program