MSc Computer Science – Professional 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 Computer Science – Professional Science program is offered by University of Arizona.
Quick Facts |
|
Full-time Duration: | 1 year |
Starting in: | TBA |
Tuition Fee: | $10,063 per semester |
Location: | Tucson, United States |
The Computer Science – Professional Science program is offered by University of Arizona.
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.
Educational Opportunities
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.
“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
Study Content
- Advanced Operating System
- Principles of Compilation
- Computer Architecture
- Design and Analysis of Algorithms
- Theory of Computation
- Parallel and Distributed Computing
- Computer Graphics
- Probabilistic Graphical Models