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PhD Computer Science

The Computer Science Ph.D. program from University of Arizona is designed to provide students with advanced coursework and substantive research experience to prepare graduates to be the leaders in industry and academia.

Quick Facts

 
Full-time Duration: 2 years
Starting in: August
Tuition Fee: $10,063 per semester
Location: Tucson, United States

There is an emphasis on producing original work to present at conferences or published in peer-reviewed journals.

Students who successfully complete the Computer Science Ph.D. program at University of Arizona go on to take leadership, entrepreneurial, and scholarly positions.

Computer Science

The Department of Computer Science offers programs leading to the Master of Science and the Doctor of Philosophy degrees with a major in computer science.

The department’s programs prepare graduate students for positions in the design and development of computer systems and applications in business and industry and for scientific positions in industrial or academic computing research. .

Areas of research interest within the department currently include algorithms (bioinformatics, geometric, graph), artificial intelligence (natural language processing, machine learning, vision), parallel, distributed, and high performance computing, programming languages and compilers, security, systems (operating systems, networking, storage, databases), and visualization and graphics.

Courses included:

  • Design and Analysis of Algorithms
  • Theory of Computation
  • Principles of Programming Languages
  • Parallel and Distributed Computing
  • Computer Graphics
  • Probabilistic Graphical Models
  • Software Engineering
  • Geometric Algorithms

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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