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Learning Analytics - Master's (MS)

CIP CODE 30.7101.00

DEGREE OVERVIEW

The Master of Science in learning analytics (MSLA) is intended for individuals who want to pursue a career in fields that are impacted by the digitization of learning, sensemaking, and knowledge processes in complex sociotechnical environments. This program is ideal for anyone interested in learning how to use data to gain insight into how people and systems produce knowledge.


ABOUT THE PROGRAM

The MSLA will prepare students coming from different backgrounds to meet the growing demand for learning analytics professionals across a variety of industries, including education, nonprofit, government, and corporate settings. Graduates will gain critical skills for working in an increasingly complex global knowledge economy and be well-positioned to become leaders in their organizations, preparing them for the future of learning.

The online, two-year program consists of six core courses, four electives composed of a variety of topics, and a collaborative capstone project (36 credit hours).

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CAREER OPPORTUNITIES

  • Data Scientist
  • Education Administrator
  • Learning Designer
  • Research/Data Analyst
  • Evaluation

WHY CHOOSE US?

  1. Online program with cohort-based admissions to support working professionals around the world.
  2. Courses taught by leading learning analytics experts.
  3. Collaboration with faculty, students, and external partners to address real-world, complex, sociotechnical challenges.
  4. Skill development for current and innovative methods and tools.

GET STARTED

Take the next step toward investing in yourself by learning more about our Learning Analytics - Master's (MS) program.

Apply Today

If you're ready, so are we. The next step is to apply. Applying for admission is easy, and we're here to work with you every step of the way.

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PROGRAM CONTACT

Name:
Dr. Justin T. Dellinger

Email:
jdelling@uta.edu


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Learning Analytics - Master's (MS)

Learn more about this program on the Department or College website.

Department of Psychology

College of Science