Data Science A.S. Degree

The Associate in Science in Data Science is a dynamic, interdisciplinary program designed to equip students with foundational skills in data analysis, programming, statistics, and critical thinking. This degree prepares students to collect, manage, analyze, and visualize data to support informed decision-making in various fields, including business, healthcare, technology, and public policy. Students will learn to work with real-world datasets using tools such as Python, SQL, and data visualization platforms. Core courses emphasize mathematical reasoning, statistical methods, and ethical data practices. Graduates will be prepared for entry-level roles such as data analyst or research assistant, or to transfer to a four-year institution to continue their studies in data science or a related discipline.

We expect annual program completion numbers to be 30 students annually. 

The goals of students completing this program include: 

1. Develop foundational data skills and equip students with core competencies in programming, statistics, and data analysis techniques.

2. Promote problem-solving and critical thinking skills through data exploration and interpretation.

3. Prepare students for entry-level data-related jobs and successful transfer to four-year institutions in data science or related fields.

4. Instill a strong understanding of data ethics, privacy, and responsible data use.

5. Apply data science concepts across disciplines, including business, health, social science, and technology.

Students completing this program will complete 18 units of GE courses to meet local degree requirements as well as the following major-specific courses: COMPSCI-4, COMPSCI-5, COMPSCI-10, COMPSCI-11, ITIS-10, ITIS-80, MATH-65A, MATH-65B, MATH-75, MATH-81, STAT-10, and either COMPSCI-20 or ITIS-42.