Analytics, MPS

With the proliferation of data across all sectors of the global economy, there is an immediate need for individuals to be knowledgeable in how to harness this data for continuous analysis and study. This spectrum spans from commercial to nonprofit, from higher education to government and is constantly expanding with new sectors, as data mining becomes the standard for knowledge gathering in the digital age.

The Master’s in Analytics helps to meet the demand from employers with a graduate program that provides students with an end-to-end analytics education through a core curriculum with integrated experiential learning opportunities. The program prepares students with a deep understanding of the mechanics of working with data (i.e., its collection, modeling, and structuring) along with the capacity to identify and communicate data-driven insights that ultimately influence decisions.

Not only will students graduate with a portfolio of work samples that demonstrate their range and depth of skill, they will be part of a larger network of analytics professionals who will serve them now and in the future.

  • Build portfolios of real-world projects demonstrating competency with key technologies, visualization and communication techniques, and the ability to translate information into recommended actions.
  • Gain a core analytical skillset upon which to layer more specialized technical skillsets or industry-specific applications.
  • Develop a relationship to industry leaders and peers so that you may leverage your Northeastern education long after your formal education ends.
  • Choose from a host of flexible programming options—all of which share an industry-defined core curriculum and a required, credit-bearing experiential requirement.
  • Anticipate and contribute to the future direction of data analytics.

Complete all courses and requirements listed below unless otherwise indicated.

Required Courses

ALY 6000Introduction to Analytics3
ALY 6010Probability Theory and Introductory Statistics3
ALY 6015Intermediate Analytics3
ALY 6050Introduction to Enterprise Analytics3
ALY 6070Communication and Visualization for Data Analytics3


Complete one of the following three concentrations:

Concentration in Statistical Modeling
ALY 6110Data Management and Big Data3
ALY 6020Predictive Analytics3
ALY 6040Data Mining Applications3
ALY 6983Topics3
GIS 5103Foundations of Geographic Information Science4
Concentration in Evidence-Based Modeling
ALY 6060Decision Support and Business Intelligence3
ALY 6100Data-Driven Decision Making3
ALY 6120Leadership in Analytics3
ALY 6040Data Mining Applications3
ALY 6130Risk Management for Analytics3
Concentration in Informational Design
ALY 6030Data Warehousing and SQL3
ALY 6040Data Mining Applications3
ITC 6015Enterprise Information Architecture3
ITC 6020Information Systems Design and Development3
ALY 6060Decision Support and Business Intelligence3

Experiential Learning Course

ALY 6080Integrated Experiential Learning3

Experiential Capstone Course

ALY 6980Capstone3


Complete three of the following:9
Predictive Analytics
Data Warehousing and SQL
Data Mining Applications
Introduction to Enterprise Analytics
Decision Support and Business Intelligence
Data-Driven Decision Making
Data Management and Big Data
Leadership in Analytics
Risk Management for Analytics
Analytics Systems Technology
Healthcare/Pharmaceutical Data and Applications
Business Intelligence in Healthcare/Pharmaceutical
Information Technology Policy, Ethics, and Social Responsibility
Information Security Governance
Interdisciplinary Foundations
Advanced Spatial Analysis
Information Systems Design and Development
Leading Teams
Project Risk Management
Project Scope Management
Project Evaluation and Assessment
Ethical Leadership
Project Stakeholder Management

Program Credit/GPA Requirements

45 total quarter hours required
Minimum 3.000 GPA required