Master of Science in Applied Analytics

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Quick Highlights

Data-informed decision-making is in demand throughout health care, social services, business, politics, manufacturing, retailing, real estate, finance, insurance, and sports. In as little as one year, learn how to apply the latest methods and technologies to gather, report, and analyze important data to make an immediate impact on your job.

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Fully online classes (synchronous)

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30 credits, 1 or 2-year completion

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Spring and fall semester start

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Applicable to all majors and careers

Important Deadlines

Application due January 1 / Spring Semester
Application due August 1 / Fall Semester

Program Overview

Loras’ degree is truly applied in the sense that the program is built around “learning by doing.” Learn to handle data knowledgably by working with data through project-oriented learning, building conceptual understanding as well as critical technical skills and proficiency as they do so.

This program sources many of its projects from community partners—actual data from organizations and businesses in the region—and students are motivated not only by the authenticity of the projects but also because students see real value in improving the world in which we live.

Why Choose Loras

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Career Focused

Personalized attention from well-respected faculty gives you the tools you need to succeed, and flexible class formats allow you to continue working and networking while you pursue your degree.

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Accredited

Choose from seven accredited and widely recognized master’s degrees and one postbaccalaureate program. Continue your current career or discover a new career path that’s right for you.

Grad Chat

All prospective graduate and professional education students can schedule a casual, personalized Zoom conversation with both the program director of your academic program of interest as well as the director of graduate admission, to learn more about the classes, internships, outcomes, enrollment processes, and much more. Get a true sense of what grad school is like from a faculty member you will be closely working closely.