As a member of the MIAA and NCAA Division III associations, Hope College sponsors 22 varsity sports for men and women. The college is home to the 2022 NCAA Division III National Championship women’s basketball team.
Computer Science Major & Courses
At UT Computer Science, undergraduate students receive a rigorous educational experience, with options to pursue more than 50 courses that span the full spectrum of topics in modern computer science. Students in the major develop a strong background in hardware architecture and mathematics as a foundation on which to build their computing education, and they have many options to select a program of study and out-of-class opportunities matched to their interests.
All about Computer Science at UT Austin
Concentrations in Computer ScienceConcentrations are courses grouped to teach students about a particular area of computer science and build skills in that area. They are not listed on the degree itself (i.E., students graduate with a degree in Computer Science.)
Computer Systems: Computer systems is a broad field of study that offers students the opportunity to develop expertise in operating systems, distributed systems, networks and security. These skill sets support a wide array of applications and technologies such as cloud computing, virtual machine technology, network and systems reliability and the Internet of Things.
Cybersecurity: The Cybersecurity concentration (formerly known as INFOSEC) is available to students who want to intensively study cybersecurity and privacy. Students will receive instruction on a wide range of cybersecurity related topics like network security and cryptography.
Game Development: Texas has the second largest concentration of game studios in the U.S., and as mobile, online and social platforms improve, more and more opportunities will arise. Game development is an inherently interdisciplinary field, which is why the department of Computer Science has a partnership between Arts and Entertainment Technology (AET, College of Fine Arts) and Radio-Television-Film (RTF, Moody College of Communication). Together they have jointly developed the world-class Game and Mobile Media Applications (GAMMA) program. GAMMA students will take classes like computer graphics, game technology and a project-based capstone course.
Machine Learning and Artificial Intelligence: The concentration for Machine Learning and Artificial Intelligence is ideal for students who desire to learn how to program computer systems to 'learn' from data and perform complex tasks normally associated with human-level intelligence. AI/ML includes the opportunity to study topics such as computer vision, natural language processing, robotics, machine learning, deep learning and knowledge acquisition and representation.
Mobile Computing: Mobile computing has revolutionized the way we interact with the world. This concentration explores important topics in mobile computing, including internet and wireless networks, mobile app development, cloud computing, network security and Internet of Things. These topics are applicable to a virtually endless array of industries.
Big Data: The era of Big Data has ushered in a host of exciting opportunities for computer scientists. Students in our data concentration will study both advanced computational and analytic tools such as data mining, large-scale optimization, data analytics, data storage and data-intensive computing, as well as modern interdisciplinary applications of big data in industries as diverse as healthcare, transportation, energy and finance.
Students may opt to pursue degrees with special honors and honors programs, specialize in teaching in computer science (option 5) and pursue an integrated program to secure both bachelor’s and master’s degrees in five years (option 4). To learn more, please see All Undergraduate Programs.
Learn more about our undergraduate program
Courses Computer Science Majors TakeGet a sense for some of the courses that many of our majors take below. A more complete list for each catalog may be found when you search for your degree option by the year of entry or catalog.
Computer science students all take six core classes, two of each in Programming, Systems and Theory. Students will be taking three entry-level courses, followed by three transitional courses before they move into their upper-division coursework and any concentration. The department’s curriculum summary provides more information.
CS students are advised in the Computer Science Advising Center and must apply to CS for upper-division status.
Entry-Level RequirementsNatural Sciences students declare a degree and a major after receiving good grades in key courses. For CS, these are typically:
Students take additional courses in computer science and other disciplines, such as:
Computer Networks And Security BSc (Hons)
Computer Networks and Cyber Security LaboratoriesThe specialist Computer Networks and Cyber Security laboratories are among the best equipped facilities of this type in the UK. Developed in consultation with Cisco and leaders in the industry, they are designed to meet the highest computer networks and cyber security standards.
The laboratories contain high-specification, specially customised PCs configured with multiple operating systems, virtualisation and removable hard drives, as well as specialised servers, wired and wireless networking equipment and a variety of other hardware and software components.
The laboratories are also the base for the university's Cyber Security Centre, a multidisciplinary group of academics and industry experts who focus on a wide variety of cyber security and digital forensics issues. Their mission is to provide to all the benefits of a safe, secure and resilient cyberspace.
Library and learning zonesOn campus, the main Kimberlin Library offers a space where you can work, study and access a vast range of print materials, with computer stations, laptops, plasma screens and assistive technology also available.
As well as providing a physical space in which to work, we offer online tools to support your studies, and our extensive online collection of resources accessible from our Library website, e-books, specialised databases and electronic journals and films which can be remotely accessed from anywhere you choose.
We will support you to confidently use a huge range of learning technologies, including the Virtual Learning Environment, Collaborate Ultra, DMU Replay, MS Teams, Turnitin and more. Alongside this, you can access LinkedIn Learning and learn how to use Microsoft 365, and study support software such as mind mapping and note-taking through our new Digital Student Skills Hub.
The library staff offer additional support to students, including help with academic writing, research strategies, literature searching, reference management and assistive technology. There is also a ‘Just Ask’ service for help and advice, live LibChat, online workshops, tutorials and drop-ins available from our Learning Services, and weekly library live chat sessions that give you the chance to ask the library teams for help.
More flexible ways to learnWe offer an equitable and inclusive approach to learning and teaching for all our students. Known as the Universal Design for Learning (UDL), our teaching approach has been recognised as sector leading. UDL means we offer a wide variety of support, facilities and technology to all students, including those with disabilities and specific learning differences.
Just one of the ways we do this is by using ‘DMU Replay’ – a technology providing all students with anytime access to audio and/or visual material of lectures. This means students can revise taught material in a way that suits them best, whether it's replaying a recording of a class or adapting written material shared in class using specialist software.