Program Overview:

Master of Science in Predictive Analytics Online

“Big Data.” You can find the term everywhere in the press, but what does “big data” really mean? More importantly, how can organizations benefit from it? With new data acquisition technologies come vast new sources of data that can be analyzed to enhance organizational effectiveness, customer service, returns on investment and a myriad of other business goals. Northwestern’s Master of Science in Predictive Analytics (MSPA) is a fully online, part-time program that explores these applications and much more. The MSPA program uses real-world problems and situations to prepare graduates for roles as strategic thought leaders who leverage predictive analysis and predictive modeling to drive decision making. In addition to the science of data and modeling, MSPA students work with SPSS, SAS and R — the leading technologies used in the industry of big data. Fully accredited, SCS online courses marry the best aspects of online technology with the interactivity of the classroom in a format designed to work with students' busy schedules. Find out more about online learning at SCS.

Predictive Analytics Faculty Perspective

Philip M. Goldfeder, PhD
Instructor in the MS in Predictive Analytics program and teaches mathematics and business courses at the undergraduate and graduate levels. Goldfeder's research and consulting experience includes predictive modeling to inform corporate mergers and acquisitions and evaluation of trends in automotive and spirits industries.

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

Areas of Focus

  • Predictive Modeling
  • Computer-based Data Mining
  • Marketing Analytics
  • Web Analytics
  • Risk Analytics

Analytics 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 Continuing 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 11 courses to earn the degree. The curriculum covers seven core courses, two elective courses, a leadership 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:

  • CIS 417-0 OR 417-DL Database Systems Design & Impl
  • CIS 435-0 Data Warehouse & Data Mining
  • LEADERS 481-DL Leadership
  • PREDICT 400-DL Math for Modelers
  • PREDICT 401-DL Statistical Analysis
  • PREDICT 402-DL Analytics and Data Collection
  • PREDICT 410-DL Predictive Modeling I
  • PREDICT 411-DL Predictive Modeling II
  • PREDICT 475-DL Project Management
  • PREDICT 498-DL Capstone Project
  • PREDICT 590-DL Thesis Research

Elective Courses:

  • PREDICT 412-DL Advanced Modeling Techniques
  • PREDICT 450-DL Marketing Analytics
  • PREDICT 451-DL Risk Analytics
  • PREDICT 452-DL Web Analytics
  • PREDICT 453-DL Text Analytics
  • PREDICT 490-DL Special Topics