Computer and Information Science University of Oregon

Overview

The Computer and Information Science programme at the University of Oregon provides a rigorous academic framework designed to prepare students for the evolving tech landscape. This curriculum integrates foundational computational theory with practical applications in high-demand fields such as machine learning and distributed systems.

Students join a close-knit community within the School of Computer and Data Sciences, where they collaborate with faculty on cutting-edge research. The department fosters an environment of discovery, encouraging students to find computational solutions to complex global challenges through interdisciplinary study and innovation.

The teaching approach emphasises both core principles and emerging technologies, ensuring graduates are well-equipped for professional success.

Why Computer and Information Science at University of Oregon?

The university maintains strong industry partnerships with global organisations such as Amazon, Intel, Microsoft, and Nike. These connections provide students with unique insights into the professional world and help align the curriculum with the requirements of high-demand technology sectors.

Facilities include the Center for Cyber Security and Privacy, which serves as a hub for interdisciplinary research and collaboration. Students have access to state-of-the-art resources in high-performance computing and networking, supported by faculty who are international leaders in informatics and software engineering.

Experiential learning is a cornerstone of the student experience, with opportunities to participate in the Cyber Security Operations Center. Students are encouraged to engage in regional competitions, join specialist student groups, and contribute to research projects funded by major national agencies.

Tuition Fee Breakdown

• International fee: USD 46077 per year
• National fee: USD 46077 per year
• Local fee: USD 16755 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Modules may include:

• Computer Science
• Data Science
• Cybersecurity
• Mathematics and Computer Science
• Computer and Information Technology
• Programming Languages
• High Performance Computing
• Networking and Distributed Systems
• Machine Learning and Artificial Intelligence
• Fluency with Information Technology
• Software Engineering
• Scientific Visualization
• Assistive Technologies
• Computational Mathematics

Careers with Computer and Information Science

Graduates from this programme are prepared to make significant contributions to the field of computing across various sectors. The curriculum is designed to lead to successful career paths in software development, engineering, and systems analysis within the global technology industry.

Many alumni secure roles as data scientists and cybersecurity personnel, addressing the growing demand for experts in data protection and digital infrastructure. The university's strong reputation helps graduates transition into positions at leading tech firms and innovative research institutions.

The programme also provides a solid foundation for those wishing to pursue advanced academic research or specialised roles in robotics and machine learning. Career advisors and track mentors support students in preparing for internships and competitive job markets throughout their studies.