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 6020Predictive Analytics3
ALY 6030Data Warehousing and SQL3
ALY 6040Data Mining Applications3
ALY 6050Introduction to Enterprise Analytics3
ALY 6060Decision Support and Business Intelligence3
ALY 6070Communication and Visualization for Data Analytics3

Experiential Learning Course

ALY 6080Integrated Experiential Learning3

Experiential Capstone Course

ALY 6980Capstone3

Electives

Complete five of the following:15
Enterprise Information Architecture
Data-Driven Decision Making
Information Systems Design and Development
Data Management and Big Data
Topics
Leadership in Analytics
Risk Management for Analytics
Project Management Practices

Program Credit/GPA Requirements

45 total quarter hours required
Minimum 3.000 GPA required