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MSc Information – Accelerated Master’s Program

University of Arizona is preparing graduates of the Information – Accelerated Master’s Program to be the doers, thinkers, solvers, and game-changers, not only of the problems and opportunities we see now, but also of the myriad scenarios we can’t yet imagine but are sure to arise during our students’ lifetimes.

Quick Facts

  
Full-time Duration: 1 year
Starting in: August
Tuition Fee: $10,063 per semester
Location: Tucson, United States

The ever-increasing pace of technological innovation requires a more information-savvy workforce that understands not only the how, what, where, when, and why of technology and data but how to apply that knowledge. At the University of Arizona School of Information, we have faculty and students engaged in research and education around all aspects of the information sciences without regard for disciplinary boundaries.

Career

The M.S. in Information – Accelerated Master’s Program will prepare you for a number of fields, including:

  • Information architect
  • Database administrator
  • Data scientist/engineer
  • Digital artists
  • Software programmer/engineer
  • Web programmer
  • Application/system analyst
  • Digital repository specialist

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“Choosing the Master’s program for Physiological Sciences at the University of Arizona was one of the best decisions I could have made in my education. Our department is warm and collaborative, offering an array of research topics and techniques underneath a vast and integrative umbrella of physiology. Beyond my research experience, I was presented with teaching opportunities, which I feel honed my skill of scientific communication. Having the dynamic research/teaching/class schedule not only kept me active but helped me reinforce material in multiple contexts. Overall, this program was exactly what I wanted in my segway into the medical sciences… and with my teaching assistantship paying for my tuition, how could I say no?”​

Andrew Wojtanowski // MS 2016

Information – Accelerated does research in:

  • artificial intelligence
  • data management and curation
  • computer vision
  • computer-mediated communication and learning
  • natural language processing
  • social networking
  • human computer interfaces
  • dark networks
  • computational art creation
  • eCommerce

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