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.