Analytics

Students Overview

Below is a look at where our Analytics alumni work, the positions they hold, and the skills they bring to their organization.

 

  • Where They Work

    • Dell EMC
    • JPMorgan Chase & Co.
    • ADP
    • Staples
    • Interactive Data
  • What They Do

    • Information Technology
    • Operations
    • Program and Project Management
    • Business Development
    • Entrepreneurship
  • What They're Skilled At

    • Business Analysis
    • Leadership
    • Requirements Analysis
    • Software Development Life Cycle (SDLC)
    • Project Management

 

Learn more about Northeastern Alumni on Linkedin.

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Graduate Certificate in Applied Analytics - Boston

Submitted by Olivia on Mon, 06/01/2020 - 14:48

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 data for continuous analysis and study. The Graduate Certificate in Applied Analytics prepares students to draw on analytical findings to make key decisions in an organization’s strategy.

Master of Professional Studies in Applied Machine Intelligence - Boston

Submitted by Olivia on Tue, 05/26/2020 - 16:20

If you’re looking for a successful career in applied artificial intelligence and machine learning in the fields of pharmaceuticals/healthcare, finance, human resources, and business ventures, the MPS in Applied Machine Intelligence program prepares you to excel in these fast-growing and highly in-demand fields—focusing on data, technology, and human literacy.

Master of Professional Studies in Analytics - Toronto

Submitted by Olivia on Fri, 03/27/2020 - 12:12

Analytics is the integration of the major theories, tools, and approaches to identify and successfully communicate data-driven insights for informed decision making in the digital age. Analysts articulate and effectively defend the significance and implications of the work in data analytics in terms of challenges and trends in a local, national, or global context.

Master of Science in Business Analytics-Boston

Submitted by neuglobal on Thu, 10/31/2019 - 13:02

Our STEM-designated MS in Business Analytics will not only teach you to analyze data efficiently but, more importantly, will also teach how to leverage data to make effective strategic business decisions confidently. You'll learn from business school faculty who are thought leaders in their fields and build the skills needed for long-term business success.

Bachelor of Science in Analytics — Boston

Submitted by neuglobal on Wed, 05/29/2019 - 14:24

We are in the age of data, and there is tremendous demand for those who can analyze data and draw actionable insights from it. The Bachelor of Science in Analytics will provide you with the crucial competencies, skills, and experience you need to be in-demand across numerous industries, including marketing, finance, management, and healthcare. This program is also available in an online format.

This is a STEM Designated Degree Program.

Bachelor of Science in Analytics — Online

Submitted by Rudy on Thu, 11/15/2018 - 16:43

We are in the age of data, and there is tremendous demand for those who can analyze data and draw actionable insights from it. The Bachelor of Science in Analytics will provide you with the crucial competencies, skills, and experience you need to be in-demand across numerous industries, including marketing, finance, management, and healthcare. This program is also available in a classroom setting.

This is a STEM Designated Degree Program.

Master of Professional Studies in Analytics — Silicon Valley

Submitted by neuglobal on Tue, 11/28/2017 - 11:50

Analytics is the integration of the major theories, tools, and approaches to identify and successfully communicate data-driven insights for informed decision making in the digital age. Analysts articulate and effectively defend the significance and implications of the work in data analytics in terms of challenges and trends in a local, national, or global context. They propose an effective path to resolution of an analytical problem that may be complicated by the competitive environment, opposing interests, and divergent or uncertain data and information.