Analytics
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.
Part-Time
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.
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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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Program Costs
Requirements
- Online application
- Statement of purpose (500–1000 words): identifies 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 resume
- 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
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.
| Start Date: | Recommended Admissions Deadline: |
|---|---|
| January 7 | December 21 |
| February 19 | February 8 |
| Start Date: | Recommended Admissions Deadline: |
|---|---|
| April 8 | March 29 |
| May 20 | May 10 |
| Start Date: | Recommended Admissions Deadline: |
|---|---|
| July 8 | June 28 |
General Requirements
Experiential Learning Course
Experiential Capstone Course
Electives
Complete three of the following:
INPS 5184 Interdisciplinary Professional Foundations
Concentrations
Choose one from the following:
Northeastern's signature experiential learning model combines academics with professional practice to help students acquire relevant, real-world skills they can apply to their desired industry. Each program offers its own unique experiential learning opportunities, but they might include:
- Experiential Learning at Work — Working professionals collaborate with their employer to develop a project that addresses a key business need their company has in an area they want familiarity with.
- Experiential Network (XN) — Students work virtually with a sponsoring organization on a short-term project over a six-week period.
- Full-Time Co-op Opportunities — Students on co-op work in a paid position in their field of study for three to six months.
Our Faculty
Our faculty represents a wide cross-section of professional practices and in 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.
By enrolling in Northeastern, you gain access to a network of more than 245,000 alumni and 3,200+ employer partners, including Fortune 500 companies, government agencies, and global NGOs. Our current students and faculty across strategically located regional campuses further foster that 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.
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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.