Master of Professional Studies in Analytics — Oakland
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.
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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 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 translation and implementation of data analysis for tactical and 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 provides flexibility to 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
Please note: The following is a sample curriculum and is subject to change. Enrolled students should reference the academic catalog for current program requirements.
General Requirements
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
Concentration in Applied Machine Intelligence
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Concentration in Evidence-Based Management
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Concentration in Statistical Modeling
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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 the 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)
International Requirements
Are You an International Student? Find out what additional documents are required to apply.
Admissions Details Learn more about the College of Professional Studies admissions process, policies, and required materials.
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.
Cost and Tuition
Estimated Total Tuition
This is an estimate based on the tuition rates for Academic Year 2024-2025 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. Select programs at select campuses offer additional scholarships of up to 25% off the listed price for domestic students studying on campus. For more detailed information, please visit Student Financial Services.
For students interested in pursuing financial assistance or educational loans, additional educational costs, known as Cost of Attendance (COA) components, can be included in the calculation of aid and loan eligibility. Components may include food, housing, books, course materials, supplies, equipment, transportation, personal expenses, and the cost of obtaining a first professional licensure. You can find comprehensive details on the Student Financial Services website. Please keep in mind that COA can vary significantly depending on academic program, enrollment intensity, and individual circumstances.
Application Deadlines
Our admissions process operates on a rolling basis; however, we do recommend the application guidelines below to ensure you can begin during your desired start term:
Domestic Application Guidelines
International Application Guidelines*
*International deadlines are only applicable if the program is F1 compliant.
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.