The Data Science program, offered jointly by the Department of Computer & Information Science in the College of Engineering and the Department of Mathematics in the College of Arts & Sciences, provides advanced education to prepare students for professional positions in data analysis, informatics, data-driven decision-making, and related fields.
You'll gain a strong foundation in information theory, mathematics and computer science with current methodologies and tools to enable data-driven discovery, problem-solving, and decision-making.
Many of our students are involved with projects, hackathons, and other extracurricular events through our BigDataClub.
- Meet the growing regional and national demand for high-level information systems/science skills;
- Provide a path for individuals from diverse fields to rapidly transition to data science career paths;
- Enable established information technology and computing professionals to upgrade their technical management and development skills;
- Prepare graduates to apply data science techniques for knowledge discovery and dissemination to assist researchers or decision makers in achieving organizational objectives;
- Establish stronger ties to alumni to enhance opportunities for continued learning and leadership;
- Create innovators, entrepreneurs, business professionals who will lead the development of next generation information systems.
At the time of graduation, students will:
- be able apply contemporary techniques for managing, mining, and analyzing big data across multiple disciplines;
- be able to use computation and computational thinking to gain new knowledge and to solve real-world problems of high complexity;
- have the ability to communicate their ideas and findings persuasively in written, oral and visual form and to work in a diverse team environment;
- apply advanced knowledge of computing and information systems applications to areas such as networking, database, security and privacy, and Web technologies;
- be better prepared for career advancement in all areas of information science and technology;
- be committed to continuous learning about emerging and innovative methods, technologies, and new ideas, and be able to bring them to bear to help others;
- have an appreciation for the professional, societal and ethical considerations of data collection and use