ALY

Master of Professional Studies in Analytics — Online

The Master of Professional Studies in Analytics prepares you to analyze data and identify trends to support tactical and strategic decision making.

Take a quick look

We’re committed to creating an education as unique as your career path. So, whether your goal is a new career or moving up in your field, our innovative programs will get you going your way.

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Customize your plan

We work with you to map your path to your goal.

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Learn from experience

From real-world case studies to employer-based projects, we prepare you to manage what comes next.

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Choose your focus

Whatever you’re passionate about, you’ll find the classes to sharpen your specialty.

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Study anywhere, on your time

Part-time or full-time, we move at your speed, to get you where you’re going.

Enrollment

Full-Time, Part-Time

Entry Terms

Fall, Spring, Summer, Winter

Completion Time

12-18 months

The Master of Professional Studies in Analytics trains you to discover, interpret, and effectively communicate data to help organizations make informed decisions. Focused on skills you can readily apply on the job, our program will build your knowledge of statistics and mathematics, analytics systems technology, business intelligence, business process management, analytics agility, data leadership and governance, and policy and ethics. You'll have the opportunity to work with a sponsoring organization to expand your professional network and get hands-on experience in everything from data extraction to the translation and implementation of data analysis. In the process, you’ll explore the implications of analytics on a local, national, and global scale, learn to defend ideas with data, and build a portfolio to showcase your skills.

This is an online program.


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.

Experiential / Co-op opportunities

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.

Learn About Getting Real World Experience

Get Set with a Custom Course Plan

Note: ITC 6000 is for students without prior educational or professional experience with data and database structures. Students who do not complete ITC 6000 must complete a third elective course to reach 45 quarter hours.

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Experiential Learning Course

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Experiential Capstone Course

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The remaining quarter hours of the program may be completed by a combination of completing a concentration and additional electives or selecting any courses listed in the concentrations and elective list.

Electives

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Concentrations

Analytics students pursuing the concentration Applied Machine Intelligence will be required to complete a Python Placement Exam. Those who achieve an 85% or greater will be eligible to take EAI 6000 after their core courses, and those below 85% are recommended to take the Python course ALY6140 after completing their core courses.

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Follow our leaders

Our faculty represents a wide cross-section of professional practices and fields. They serve as mentors and advisors and collaborate alongside students to solve the most pressing global challenges facing established and emerging markets.

"It is critical to leverage data and technology, embed them in the comprehension of what the organizational questions are, anchor that in the human ability to recognize opportunities and barriers, and provide actionable solutions. The MPS in Analytics educates you to use Analytics expertly and ethically." - Uwe Hohgrawe, Faculty Director of the Analytics & Enterprise Intelligence Domain

Susan Gracia

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Alice Mello

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Uwe Hohgrawe

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Daya Rudhramoorthi

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Thomas Goulding

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Professors consistently took deep dives into their areas of expertise and made sure to tie it back to real-world examples. That allowed me to bring new ideas to the workplace that were directly applicable to the problems we were facing.

Rick Kielty Master of Professional Studies in Analytics

Now Let's Talk Admissions

You know where you are headed and you've seen how our program will lead you there. So let's get going. Here's what you need to know before you enroll.

  • 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, PTE, Duolingo, 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.

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

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

Some courses in this program offer transfer credit for students’ experience through prior learning assessments and professional certifications.  View the full list of eligible certifications and transfer credits.

By completing the BS in Information Technology, you can advance your learning by applying up to 16 credits earned toward your bachelor's and master’s degree, allowing you to receive your graduate degree one year sooner than you would with a traditional Master of Professional Studies in Analytics. Learn more about PlusOnes.

You can stack the following Graduate Certificates into this degree: Applied Analytics CertificateLearning Analytics Certificate

Cost and Tuition

Application Deadlines

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.

Spring 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

Summer 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 14, 2021
Domestic application complete (first half start: July 12, 2021) June 28, 2021
Domestic application complete (second half start: August 9, 2021) July 26, 2021

Fall 2021

Recommended Admissions Deadline:
International out-of-country application complete (start date: September 20, 2021) July 19, 2021
International in-country application complete (start date: September 20, 2021) August 23, 2021
Domestic application complete (first half start: September 20, 2021) September 7, 2021
Domestic application complete (second half start: November 1, 2021) October 18, 2021

Winter 2022

Recommended Admissions Deadline
International out-of-country application complete (start date: January 10, 2022) November 8, 2021
International in-country application complete (start date: January 10, 2022) December 13, 2021
Domestic application complete (first half start: January 10, 2022) December 20, 2021
Domestic application complete (second half start: February 22, 2022) February 8, 2022

Spring 2022

Recommended Admissions Deadline
International out-of-country application complete (start date: April 11, 2022) February 7, 2022
International in-country application complete (start date: April 11, 2022) March 14, 2022
Domestic application complete (first half start: April 11, 2022) March 28, 2022
Domestic application complete (second half start: May 23, 2022) May 9, 2022

Summer 2022

Recommended Admissions Deadline
International out-of-country application complete (start date: July 11, 2022) May 9, 2022
International in-country application complete (start date: July 11, 2022) June 13, 2022
Domestic application complete (first half start: July 11, 2022) June 27, 2022
Domestic application complete (second half start: August 8, 2022) July 25, 2022

Student Body Profile

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.