Program Overview:

Master's in Predictive Analytics Online

The Master of Science in Predictive Analytics (MSPA) program, established in 2011, is a fully online part-time graduate program, one of the first to offer dedicated training in data science. Fully accredited graduate-level analytics courses cover business management and communications, information technology, and modeling.

New MS in Data Science Program

Northwestern is pleased to announce the creation of the MS in Data Science program, an extension of the very successful MS in Predictive Analytics (MSPA) program. The MSPA program was one of the first programs in the world to offer dedicated graduate training in data science. The MS in Data Science program is offered online and includes all courses from the MSPA program, and offers seven new courses and three new specializations. Applications for the MSPA program will not be accepted after the January 15, 2018 deadline. Prospective students are encouraged to explore Northwestern’s new MS in Data Science. 

MS in Predictive Analytics Program Goals

  • Articulate analytics as a core strategy
  • 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

Video Perspectives

Learn more about Northwestern's Predictive Analytics program from faculty member Phil Goldfeder and program director Thomas Miller.

Data Analytics Masters Programs at Northwestern

Northwestern University offers two master’s degree programs in analytics that prepare students to meet the growing demand for data-driven leadership and problem solving.

Master of Science in Predictive Analytics (Northwestern University School of Professional Studies)
  • Online, part-time program
  • Builds expertise in advanced analytics, data mining, database management, financial analysis, predictive modeling, quantitative reasoning and web analytics, as well as advanced communication and leadership

Master of Science in Analytics (McCormick School of Engineering and Applied Science)
  • 15-month, full-time, on-campus program
  • Integrates data science, information technology and business applications into three areas: predictive (forecasting), descriptive (business intelligence and data mining) and prescriptive (optimization and simulation)

Curriculum Requirements

Students are required to complete 12 courses to earn the degree. The curriculum covers eight core courses, two elective courses, a leadership or project management course, and a capstone (498) or thesis (590) project. Review curriculum details and elective choices while you consider applying to this program. Current students should refer to curriculum requirements in place at time of entry into the program.

Core Courses:

  • PREDICT 400-DL Math for Modelers
  • PREDICT 401-DL Statistical Analysis
  • PREDICT 402-DL Intro to Predictive Analytics
  • PREDICT 410-DL Regression and Multi Analysis
  • PREDICT 411-DL Generalized Linear Models
  • PREDICT 413-DL Time Series and Forecasting
  • PREDICT 420-DL Database Systems and Data Prep
  • PREDICT 422-DL Practical Machine Learning
  • PREDICT 475-DL Project Management
  • PREDICT 480-DL Business Leadership
  • PREDICT 498-DL Capstone Project
  • PREDICT 590-DL Thesis Research

Elective Courses:

  • PREDICT 450-DL Marketing Analytics
  • PREDICT 451-DL Risk Analytics
  • PREDICT 452-DL Web and Network Data Science
  • PREDICT 453-DL Text Analytics
  • PREDICT 454-DL Advanced Modeling Techniques
  • PREDICT 455-DL Data Visualization
  • PREDICT 456-DL Sports Performance Analytics
  • PREDICT 457-DL Sports Management Analytics
  • PREDICT 460-DL Decision Analytics
  • PREDICT 470-DL Analytics Entrepreneurship
  • PREDICT 472-DL Analytics Consulting
  • PREDICT 490-DL Special Topics
  • PREDICT 490-DL Special Topics
  • PREDICT 491-DL Special Topics