College of Professional Studies

Analytics

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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.

Online
Location
Full-Time
Part-Time
Commitment
2 years or less
Duration of Program
No
Meets F1 Visa Requirements
Overview

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.

More Details

Unique Features

  • 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 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 credit-bearing experiential requirement.
  • Anticipate and contribute to the future direction of data analytics.

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Read all Data Analytics articles

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Admissions

A graduate degree or certificate from Northeastern—a top-40 university—can accelerate your career through rigorous academic coursework and hands-on professional experience in the area of your interest. Apply now—and take your career to the next level.

Program Costs

$40.6K *
Tuition

Finance Your Education We offer a variety of resources, including scholarships and assistantships.

How to Apply Learn more about the application process and requirements.

Requirements

  • Online application
  • Statement of purpose (500–1000 words): Identify your educational goals and expectations of the program. Please be aware that Northeastern University's academic policy on plagiarism applies to your statement of purpose.
  • Professional resumé
  • Unofficial undergraduate transcripts; official transcripts required at the time of admission
  • Two letters of recommendation from individuals who have either academic or professional knowledge of your capabilities such as a faculty member, colleague, or mentor, preferably one from your current employer
  • English language proficiency proof. Students for whom English is not their primary language must submit one of the following:
    • Official associate or bachelor's degree transcript from an accredited college or university in the U.S., stating degree conferral and date
    • TOEFL, IELTS, or NU Global Exam scores

Are You an International Student? Find out what additional documents are required to apply.

Global Engagement Learn how our teaching and research benefit from a worldwide network of students, faculty, and industry partners.

Admissions Dates

Our admissions process operates on a rolling basis; however, we do recommend following the application guidelines below to ensure you can begin during your desired start term.

Summer 2020
Fall 2020
Winter 2021
Spring 2021
Summer 2021
Recommended Admissions Deadline:
International out-of-country application complete (Start date: July 6, 2020) April 20, 2020
International in-country application complete (Start date: July 6, 2020) May 25, 2020
Domestic application complete (Start date: July 6, 2020) June 26, 2020
Recommended Admissions Deadline:
International out-of-country application complete (Start date: September 14, 2020) July 13, 2020
International in-country application complete (Start date: September 14, 2020) August 10, 2020
Domestic application complete (First half start: September 14, 2020) September 4, 2020
Domestic application complete (Second half start: October 26, 2020) October 16, 2020
Recommended Admissions Deadline:
International out-of-country application complete (Start date: January 11, 2021) November 2, 2020
International in-country application complete (Start date: January 11, 2021) December 7, 2020
Domestic application complete (First half start: January 11, 2021) January 1, 2021
Domestic application complete (Second half start: February 22, 2021) February 12, 2021
Recommended Admissions Deadline:
International out-of-country application complete (Start date: April 12, 2021) February 8, 2021
International in-country application complete (Start date: April 12, 2021) March 8, 2021
Domestic application complete (First half start: April 12, 2021) April 2, 2021
Domestic application complete (Second half start: May 24, 2021) May 14, 2021
Recommended Admissions Deadline:
International out-of-country application complete (Start date: July 12, 2021) May 10, 2021
International in-country application complete (Start date: July 12, 2021) June 7, 2021
Domestic application complete (Start date: July 12, 2021) July 2, 2021
Curriculum

General Requirements

Master of Professional Studies in Analytics General Requirements
ALY 6000 - Introduction to Analytics 
3.00 
ALY 6010 - Probability Theory and Introductory Statistics 
3.00 
ALY 6015 - Intermediate Analytics 
3.00 
ALY 6050 - Introduction to Enterprise Analytics 
3.00 
ALY 6070 - Communication and Visualization for Data Analytics 
3.00 
ITC 6000 - Database Management Systems 
3.00 

Experiential Learning Course

ALY 6080 - Integrated Experiential Learning 
3.00 

Experiential Capstone Course

ALY 6980 - Capstone 
3.00 

Electives

Complete three of the following:

ALY 6020 - Predictive Analytics 
3.00 
ALY 6030 - Data Warehousing and SQL 
3.00 
ALY 6040 - Data Mining Applications 
3.00 
ALY 6050 - Introduction to Enterprise Analytics 
3.00 
ALY 6060 - Decision Support and Business Intelligence 
3.00 
ALY 6100 - Data-Driven Decision Making 
3.00 
ALY 6110 - Data Management and Big Data 
3.00 
ALY 6120 - Leadership in Analytics 
3.00 
ALY 6130 - Risk Management for Analytics 
3.00 
ALY 6140 - Analytics Systems Technology 
3.00 
ALY 6150 - Healthcare/Pharmaceutical Data and Applications 
3.00 
ALY 6160 - Business Intelligence in Healthcare/Pharmaceutical 
3.00 
ALY 6983 - Topics 
3.00 
CMN 6005 - Foundations of Professional Communication 
4.00 
EDU 6184 - Interdisciplinary Foundations 
2.00 
GIS 5201 - Advanced Spatial Analysis 
3.00 
ITC 6000 - Database Management Systems 
3.00 
ITC 6020 - Information Systems Design and Development 
3.00 
ITC 6045 - Information Technology Policy, Ethics, and Social Responsibility 
3.00 
ITC 6310 - Information Security Governance 
3.00 
LDR 6110 - Leading Teams 
3.00 
LDR 6135 - Ethical Leadership 
3.00 
PJM 6005 - Project Scope Management 
3.00 
PJM 6015 - Project Risk Management 
3.00 
PJM 6125 - Project Evaluation and Assessment 
3.00 
PJM 6180 - Project Stakeholder Management 
3.00 
GIS 5103 - Foundations of Geographic Information Science 
4.00 
EAI 6000 - Fundamentals of Artificial Intelligence 
3.00 
EAI 6010 - Applications of Artificial Intelligence 
3.00 
EAI 6020 - AI System Technologies 
3.00 

Concentrations

Choose one from the following:

Concentration in Statistical Modeling
ALY 6040 - Data Mining Applications 
3.00 
ALY 6020 - Predictive Analytics 
3.00 
ALY 6110 - Data Management and Big Data 
3.00 
ALY 6140 - Analytics Systems Technology 
3.00 
ALY 6030 - Data Warehousing and SQL 
3.00 
Concentration in Evidence-Based Management
ALY 6040 - Data Mining Applications 
3.00 
ALY 6060 - Decision Support and Business Intelligence 
3.00 
ALY 6120 - Leadership in Analytics 
3.00 
ALY 6130 - Risk Management for Analytics 
3.00 
PJM 6005 - Project Scope Management 
3.00 
Concentration in Applied Machine Intelligence

ALY 6040 - Data Mining Applications 
3.00 
EAI 6000 - Fundamentals of Artificial Intelligence 
3.00 
EAI 6010 - Applications of Artificial Intelligence 
3.00 
EAI 6020 - AI System Technologies 
3.00 
ALY 6110 - Data Management and Big Data 
3.00 
 

Please note: This curriculum is for marketing purposes only and is subject to change. Official curriculum can be found within the course catalog.



Experiential Learning

Northeastern's signature experience-powered learning model has been at the heart of the university for more than a century. It combines world-class academics with professional practice, allowing you to acquire relevant, real-world skills you can immediately put into action in your current workplace. This makes a Northeastern education a dynamic, transformative experience, giving you countless opportunities to grow as a professional and person.

 

Faculty

Our Faculty

Our faculty represents a wide cross-section of professional practices and fields ranging from finance to education to biomedical science to management to the U.S. military. They serve as mentors and advisors and collaborate alongside students to solve the most pressing global challenges facing established and emerging markets.

Students

By enrolling in Northeastern, you gain access to a network of more than 255,000 alumni and 3,350+ employer partners, including Fortune 500 companies, government agencies, and global nongovernmental organizations. Our current students and faculty across strategically located regional locations further foster a lifelong, global community of learning and mentoring.

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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