The School of Computing and Information Systems proudly offers the following academic programs.
Computer Science – Computer Science majors prepare to design and implement software, discover new uses of computing, and to solve computing problems.
Information Systems – Information Systems majors study the use of computers in organizing and processing information.
Information Technology – Information Technology majors emphasize the technology needed to convey information needed in organizations.
Computer Science Minor – The CS minor introduces students to software development.
Computer Science Minor (6 – 12 Secondary Teacher Certification) – The CS Ed minor can be combined with any teachable major.
Computer Engineering Minor – An excellent choice for engineering and computer science majors who seek additional understanding of the design of computer hardware.
Data Science Minor – A cross Statistics/Computer Science minor to deepen understanding of data analysis.
Health Care Information Systems Minor – The HIS minor prepares future health professionals with a strong foundation in information technology as it relates to healthcare.
Information Security Systems (ISS) – This minor is designed to provide students with a foundation related to the principles of information security.
Information Systems Minor – A strong compliment for business majors who want to understand how business decisions influence information management.
Information Technology Minor – For students who want a practical introduction to computing concepts including networks, databases, and computer programming.
Master of Science in Computer Information Systems – A graduate degree in computing for computer professionals who are already working in the industry.
Master of Science in Health Informatics and Bioinformatics – Health Informatics and bioinformatics utilizes computer technology to manage and analyze information in the life and health sciences.
Master of Science in Data Science and Analytics – The Data Science and Analytics degree provides students with the fundamental analytics background necessary to work with big and complex data sets in any discipline. It also allows a statistics or computing student to gain additional cross-disciplinary background, or for a student of any discipline to develop skills to solve data-intensive problems.