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Northeastern University —Toronto Master of Professional Studies in Analytics
Northeastern University —Toronto

Master of Professional Studies in Analytics

Toronto, Canada

2 Years

English

Full time, Part time

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CAD 36,900 / per year

Distance Learning

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Introduction

The Master of Professional Studies in Analytics helps to meet the increasing demand from employers by teaching the competencies that define an analyst’s ability to demonstrate the application of the knowledge, skills, and dispositions through behavior that is directly related to performance goals: statistics/mathematics, analytics systems technology, business intelligence, advanced analytics, business process/ management, business analytics agility, communicating with data, and leadership/data governance, policy, and ethics.

The Master of Professional Studies in Analytics program prepares students by applying the principles, tools, and methods of analytics to a project within a sponsoring organization to successfully assist with the extraction, development, delivery, and/or translation/implementation of data analysis for tactical and/or strategic decision making in organizations.

You’ll have the unique opportunity to:

  • Graduate with a portfolio of work samples that demonstrate your range and depth of skill.
  • Be part of a larger network of analytics professionals.
  • Online, interactive program allows for flexibility for working professionals.
  • This is a STEM-designated graduate degree.

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 skill sets or industry-specific applications.
  • Develop a relationship with 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 credit-bearing experiential requirement.
  • Anticipate and contribute to the future direction of data analytics.

English Language Requirements

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