The Bachelor’s of Science in Computer Science, Data Analytics Track, is appropriate if you want to pursue a career in machine learning, big data, or generative AI; or if you want to continue on to graduate school. Based on the General Track’s broad foundation, Data Analytics replaces the electives with required data visualization, databases, and machine learning courses. This Track requires the same calculus and science sequence as the General Track.
Program Student Learning Outcomes:
Computer Science B.S. students will be able to:
• solve problems through analysis and implementation of tested programs that use data structures and algorithms.
• program the multiple layers (e.g., compiler, operating system, network, assembly language) between a high-level programming language and the underlying hardware.
• apply logic and mathematical proof techniques to computing problems, including computability, formal languages, and complexity of algorithms.
• evaluate ethical outcomes of professional policies, practices, and products at societal, organizational, and personal scales.
• apply, alone and in teams, responsible software engineering methodology, tools, and practices.