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Gain a competitive advantage with an industry-aligned curriculum, experiential learning opportunities, and a global network of experts and employers.
Learn More About MPS in AnalyticsComplete the form below to learn more about our MPS Analytics program and speak with an enrollment counselor.
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Master of Professional Studies in Analytics
Entry Terms
Fall, Winter, Spring
Available 100% Online: Online and on-ground
Application Deadlines (Domestic): Winter 2021: Jan 1 (A start), Feb 12 (B start) | Spring 2021: April 2 (A start), May 14 (B start) | Summer 2021: June 28 | Fall 2021: Sep 7 (A start), Oct 18 (B start)
Application Deadlines (International): Winter 2021: Dec 1 | Spring 2021: Feb 8 | Summer 2021: May 10 | Fall 2021: July 19
Credits Required for Graduation
45 Quarter HoursNortheastern University is helping to create leaders with a deep understanding of the mechanics of working with data and the capacity to identify and communicate data-driven insights that ultimately influence decisions.
The Master of Professional Studies in Analytics provides students with an end-to-end data analytics education through a core curriculum with integrated experiential learning opportunities. Not only will students graduate with a portfolio of work samples that demonstrate their range and depth of skill, they will be part of a larger network of data analytics professionals who will serve them now and in the future. With the Master’s in Analytics you will:
- 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 data 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 required, credit-bearing experiential requirement.
- Anticipate and contribute to the future direction of data analytics.
- Estimated number of jobs for all data professionals by 2020.IBM
- Expected job growth for data scientists and advanced analysts by 2020.IBM
- Businesses produce more than 2.5 quintillion bytes of data every day.IBM
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Watch this video to learn more about the MPS in Analytics program.
About Northeastern
A data analytics graduate program at Northeastern University enables you to create the educational experience that best meets your career and life goals. Recognized as a top-50 research university, our data analytics degrees offer a dynamic learning environment that is fueled, informed, and inspired by professionally-oriented, hands-on study.
Experiential learning. Industry-aligned, online courses. Flexible study options. Our data analytics graduate programs also allow you to access to a global network of faculty practitioners, corporate partners, distinguished alumni, and fellow students. Together, these form the cornerstone of an education that’s innovative, yet relevant; practical, yet transformative.
- Our experiential learning model enables you to apply learning from online and classroom data analytics courses to real-life situations in the field or in your current organization.
- You’ll also join an ever-expanding global network of more than 3,300 corporate partners and 230,000 alumni, with a powerful presence in more than 90 countries.
- Discover a graduate education in data analytics designed to satisfy the needs of both the student and the industry.
- Experience an innovative online education model driven by cognitive science, informed by employers, and powered by experiential learning.
Ready to Learn More?
Discover how our Master of Professional Studies in Analyics can help advance your career and life. It all starts here.
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Data Science
GC
Lindner College of Business » Academics » Graduate Certificates » Data Science » Program Outline
Quick Facts
GC in Data Science
Full-time program duration:
1 Years
Location:
West Campus
Find related programs in the following interest areas:
Program Code:
22GC-DASC22-GC
Why study Data Science?
Data Analytics is growing rapidly in organizations across the globe. From large to small, public to private, and profit to nonprofit, organizations are using analytics to improve decision making. Executives realize that leveraging new technologies and better utilizing available data can lead to more effective strategies and, ultimately, to better ways to service their customers.
However, many organizations lack the knowledge to effectively utilize data analytics. As a result, a strong demand for professionals with analytics skills has developed and will continue. The Data Analytics certificate prepares individuals to develop logical data models, construct data warehouses, build visually effective data displays and use sophisticated analytical techniques to glean valuable insights. http://business.uc.edu/graduate/certificates/cert-analytics.html
Admission Requirements
- Must hold a baccalaureate degree
- Academic transcripts
- One letter of recommendation
- Essay
- Resume
Graduation Requirements Transferring to UC International Student Requirements Curriculum Accreditation
Contact Information
Kevin Mussman
606 Lindner Hall
Cincinnati, OH 45221-0020
(513) 556-6904
kevin.mussman@uc.edu
Find related programs in the following interest areas:
Program Code: 22GC-DASC22-GC
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