Master of Professional Studies in Analytics — Silicon Valley
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.
Overview
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 program is based in Silicon Valley, CA.
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.
Get Set with a Custom Course Plan
General Requirements
Core Courses
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Experiential Learning Course
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Experiential Capstone Course
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Electives
Complete three of the following:
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Concentrations
Concentration in Statistical Modeling
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Concentration in Evidence-Based Management
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Concentration in Applied Machine Intelligence
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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Please note: this concentration is available only to students enrolled in the online program. It is not F-1 visa eligible.
Follow our leaders
Follow our leaders
"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
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.
Application 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, PTE, Duolingo, or NU Global Exam scores
International Requirements
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.
Financing Requirements
Finance Your Education We offer a variety of resources, including scholarships and assistantships.
How to Apply Learn more about the application process and requirements.
Prior Learning Assessment/Transfer Credits
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.
PlusOne
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.
Stackable Certificates
You can stack the following Graduate Certificates into this degree: Applied Analytics Certificate, Learning Analytics Certificate
Cost and Tuition
Estimated Total Tuition
This is an estimate based on the tuition rates for Academic Year 2020-2021 and does not include any fees or other expenses. Some courses and labs have tuition rates that may increase or decrease total tuition. Tuition and fees are subject to revision by the president and Board of Trustees at any time. For more detailed information, please visit Student Financial Services.
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.
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 |
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.
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Where They Work
- Dell EMC
- JPMorgan Chase & Co.
- ADP
- Staples
- Interactive Data
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What They Do
- Information Technology
- Operations
- Program and Project Management
- Business Development
- Entrepreneurship
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What They're Skilled At
- Business Analysis
- Leadership
- Requirements Analysis
- Software Development Life Cycle (SDLC)
- Project Management
Learn more about Northeastern Alumni on Linkedin.