Data Science (DS) combines math and statistics, specialized programming, advanced analytics, artificial intelligence (AI), and machine learning with specific domain expertise to uncover actionable insights hidden in an organization’s data. These insights can be used to guide decision making and strategic planning.
Our CS, DS, and CC programs all share a similar structure: six core courses (five foundational, one capstone), a 200 level introduction to the discipline, a 300 level discipline practicum, and 300 level discipline content courses.
Our mission is to prepare our students for the modern workforce by focusing on Computer Science and the following technology pillars for Industry 4.0: Software Development, Artificial Intelligence, Cloud Computing, Cybersecurity, Internet of Things, and Big Data. By addressing the data-centric, analytic needs of today we educate students to address real-world challenges across all disciplines. We aim to provide students with:
1. The knowledge and skills necessary for development of software for cyber-physical systems through the use of computational, data science, machine learning, and artificial intelligence algorithms on public platforms and local systems.
2. The ability to work effectively within a team, understanding issues of power and privilege, to utilize appropriate practices within a professional, legal and ethical framework.
3. The meta-skills required to advance their postgraduate careers through lifelong study.
Students are encouraged, by utilizing data science electives or through the pursuit of a minor or second major, to acquire competence in an area that lends itself to meaningful data science applications.
Because certain required and elective courses are offered in either alternative semesters or alternative years, or when demand warrants, degree candidates are strongly encouraged to meet with their advisors on a regular basis to discuss their academic schedule to ensure satisfactory progress toward the degree.