Focus Areas

Artificial Intelligence (AI)

Artificial Intelligence (AI) aims at building agents, often as computer systems, that are capable of rational reasoning and behavior.  Today, AI techniques are widely successful and used in Computer Science, Engineering, Life Sciences, Data Science, and Management.  This focus areas addresses both the foundations of AI and Machine Learning and their applications.

Computer Architecture & High-Performance Computing

Computer Architecture & High-Performance Computing explores cutting-edge topics in developing future computer architecture and high-performance computers, which is increasingly relevant given advances in cluster computing and multi-core architectures and demands for scalable simulations and data analytics. Topics range from cluster and parallel programming, embedded systems, data modeling, and systems administration.

CyberSecurity 

Information security and privacy are essential to the role of computers in modern life. Computers are entrusted with information on business, health, and personal life. Our computer systems need to operate securely and protect the privacy of important information. Computer security builds upon foundations including cryptography, computer system design, networking, and programming languages to create trustworthy systems and services.

Data Science and Informatics 

This focus area covers topics in the science of data and information, data collection, processing, and analysis, and information systems engineering. This focus area equips students with hands-on experience and advanced knowledge and skills for today's data-driven problem solving. It spans applications including machine learning, data mining, databases, graphics, computer vision, computational linguistics, geoinformatics, and bioinformatics. 

Foundations of Computer Science

The roots of computer science trace back over a century, long before the electronic computer was invented, to a time when mathematicians began designing models of hypothetical machines that could automatically compute solutions to logical and mathematical problems. Unconstrained by the physical limitations of today’s technology, they explored the limits of computability by machine and, according to one famous theorem, also of the human mind. This ongoing theoretical study has produced and continues to produce many important and very relevant results that impact computer science today.

IoT, Robotics, and Embedded Systems

IoT, Robotics, and Embedded Systems help tie the cyber and physical worlds together through sensing, computation, communication, and control. They provide computers the awareness of, and ability to interact with, the physical world and govern things from stoplights to airplanes. Increasingly, through a suite of embedded computing devices, everyday items from vacuum cleaners to cars are becoming robots having the ability to perform complex tasks autonomously. They receive feedback about the broader world from a host of sensors commonly known as the Internet of Things (IoT). This focus area will equip you with both hands-on experience and theoretical understanding in embedded systems, sensor networks, and robotics. Topics include embedded programming, wireless communication, robotic design and development, control, real time systems, and covers IoT, robotics, and sensor networks.

Networking

This focus area explores cutting-edge research topics in developing future internet and wireless networks. This area is increasingly relevant in our connected world due to advances in wireless communications, Internet of Things, software-defined networking, mobile networks, and network security. Topics range from wireless communications to networking, Internet of Things and mobile networks to data and network security. 

User-Centered Computing

The User-Centered Computing focus area explores topics that are broadly applicable to the design aspects of computing systems used by computing professionals, scientists, and the public. Courses in this area present concepts which are foundational to both basic and applied topics in computing, such as requirements elicitation, prototyping, graphic design, eye tracking, and user testing. 

Software Engineering

Software engineering aims to provide systematic, cost-effective and rigorous processes, techniques and tools for teams of software developers to design, construct, deploy, manage and maintain complex software systems. Topics in this focus area cover basic and applied concepts in software design, architecture, development, testing, and analysis.

Note: This focus area is not available to software engineering majors.