Computer Science University of Nebraska-Lincoln

Overview

The Computer Science programme at the University of Nebraska-Lincoln provides a comprehensive graduate education designed to foster advanced technical expertise and research capabilities. Students engage with a rigorous curriculum that balances theoretical foundations with practical applications in modern computing environments.

The School of Computing offers two distinct pathways to suit different career goals. Option A is a thesis-based track intended for those aiming for research roles or doctoral studies, requiring original scholarly work. Option B is a non-thesis, practice-based track tailored for professionals seeking to enhance their technical skills for industry leadership.

Graduate learners benefit from an environment that encourages scientific discovery and engineering innovation.

Why Computer Science at the University of Nebraska-Lincoln?

The university boasts world-class research infrastructure, including the Holland Computing Center. This facility provides students with access to high-performance computing power, featuring over 121 trillion floating-point operations per second and extensive storage capacities for large-scale data analysis.

Students utilise state-of-the-art laboratories and specialised equipment, such as unmanned aerial vehicle testbeds and a city-wide gigabit wireless network testbed. These facilities support diverse research areas ranging from cyber-physical systems and robotics to synthetic biology and advanced software engineering.

The faculty consists of experts across various disciplines, offering mentorship in fields like artificial intelligence, machine learning, and database systems. This collaborative atmosphere allows students to work on cutting-edge projects that address real-world challenges in networking, security, and informatics.

Tuition Fee Breakdown

• International fee: USD 22198 per year
• National fee: USD 22198 per year
• Local fee: USD 8950 per year

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

Syllabus

Modules may include:

• Algorithms
• Artificial Intelligence
• Bioinformatics
• Computational Complexity
• Computational Game Theory
• Computer Vision
• Computing Education
• Constraint Processing
• Data Mining
• Databases
• Geoinformatics
• Machine Learning
• Multiagent Systems
• Simulation and Modeling
• Visualization
• Software Engineering
• Program Analysis and Verification
• Programming Languages
• Software Testing and Reliability
• Computer Networks
• Cyber-physical Systems
• Wireless Networking
• Internet of Things
• Molecular Communication
• Synthetic Biology
• Deep Learning Architectures
• Security and Privacy
• Robotics
• Embedded Systems
• Sensors and Sensor Networks

Careers with Computer Science

Graduates are prepared for diverse roles in research, scholarly work, and professional practice. The programme builds a strong foundation for careers in software development, systems architecture, and data science across various global industries.

The curriculum's focus on emerging technologies like the Internet of Things and machine learning ensures students are competitive for positions in high-tech sectors. Many alumni pursue further academic excellence through doctoral programmes or join leading engineering firms and research institutions.