This degree, offered by the Department of Computer Science , prepares students with foundational knowledge and skills for data science careers. It features a computing-based curriculum and instructs students in the theory and practice of data management, machine learning, and computing analysis of data-centered problems. Its balanced coursework provides students with strong analytical, computing, and data-focused skills to understand and solve problems for business and research, with societal, cultural impacts. Graduates of this program will have the necessary knowledge, tools, and skills for solving complex real-world problems, drawing conclusions from data-driven methodologies. Students will meet the qualifications for data scientist positions in industry and government and will apply a sound understanding of the social and ethical implications of data analytics in their work as data scientists.
Summary of Degree Units |
|
University Graduation Requirements |
44 |
Major Preparation |
25 |
Major Requirements |
44 |
University Electives |
7 |
Total |
120 |
Program Roadmaps
The 4-Year Roadmap is available online. Roadmaps should be used in consultation with the catalog and your advisor to identify additional requirements for completing the major (for example, course grade minimums). Associate Degrees (ADT) Pathways are also available online.
Major-Specific Graduation Requirements
A grade of “C-” or better is required for courses being used to meet any requirement in any minor or major offered by the Department of Computer Science, including Major Preparation courses.