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.
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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Program Costs
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
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.
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
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.
Experiential Learning Course
Experiential Capstone Course
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
Concentrations
Choose one from the following:
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.
Please note: This curriculum is for marketing purposes only and is subject to change. Official curriculum can be found within the course catalog.
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.
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.
By enrolling in Northeastern, you gain access to a network of more than 275,000 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.
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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