A Ph.D. in Information at University of Arizona prepares researchers for careers in which they conduct original research in academia, government, and industry.
|Tuition Fee:||$10,063 per semester|
|Location:||Tucson, United States|
The School of Information at University of Arizona is accepting applications for the Ph.D. program. We are seeking students particularly with research interest in machine learning, natural language processing, data mining, text retrieval, data science, computational art, mobile computing, mediated interaction, social networks, or computational social science.
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’s 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.
We do 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, eGovernment, and eHealth; computational music; library sciences; educational and entertainment technologies; and much more.
- All Ph.D. students begin by taking a two-course sequence during their first year in the program.
- In addition to exposing you to current research topics and methods within Information Science, the hope is that this sequence will create a cohort among entering Ph.D. students each year.
“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