Master of Professional Studies in Analytics

Program Format
On-Ground|
Curriculum
Application Deadlines
Spring 2018:
Start date: April 9, 2018
Recommended Admissions Deadline: March 30, 2018

Start date: May 21, 2018
Recommended Admissions Deadline: May 11, 2018

Summer Term:
Start date: July 9, 2018
Recommended Admissions Deadline: June 29, 2018

Fall 2018:
Start date: September 17, 2018
Recommended Admissions Deadline: September 7, 2018

Start date: October 29, 2018
Recommended Admissions Deadline: October 19, 2018

Winter 2019 Start date: January 7, 2019
Recommended Admissions Deadline: December 21, 2018

Start date: February 19, 2019
Recommended Admissions Deadline: February 8, 2019
Credits Required for Graduation
45 quarter hours

Program Overview

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.

Program Objectives

  • 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.


Request Information

By submitting the form, you will receive information from Northeastern University with details about our degree programs and certificates by email or receive a phone call from one of our enrollment coaches. You can unsubscribe at any time.