Data Analytics, Associate of Science Degree
Banner Code: 3_AS_DATA
Control Number: 39435
Financial Aid Eligible
The Associate of Science in Data Analytics equips students with a strong foundation in analytics, business intelligence, and data visualization. This program prepares students for entry-level positions and career advancement in roles such as Business Analytics Specialist, Data Analyst, Data Visualization Developer, Operations Research Analyst, and Market Research Analyst. Key topics include data analysis, data mining, statistical modeling, SQL querying and data visualization, systems analysis and design, and reporting techniques.
Program Level Student Learning Outcomes
Upon completion of this program, students will be able to:
- Apply foundational data analysis and statistical modeling techniques to interpret data and generate actionable insights for business decision-making.
- Employ systems analysis and design methodologies to identify business challenges and implement data-driven solutions
- Utilize SQL, data mining, and other analytics tools to query, organize, and analyze datasets across various business domains.
- Create clear and effective data visualizations and reports using modern tools and techniques to communicate findings to diverse audiences.
Review the Associate in Science and Associate in Arts Graduation Requirements and General Education requirements.
| Course | Title | Units |
|---|---|---|
| Required Core | ||
| Complete the following: | ||
| CIS C111 | Information Systems, Programming, and Database Management | 3 |
| CIS C157 | Introduction to Python Programming | 3 |
| CIS C240 | SQL Database Development | 3 |
| CIS C250 | Introduction to Data Analytics | 3 |
| CIS C260 | Systems Analysis and Design | 3 |
| CIS C280 | Data Visualization | 3 |
| CIS C285 | Data Governance, Privacy, and Policies | 3 |
| Program Electives | ||
| Select two (2) courses from the following: | 6 | |
| Introduction to Geographic Information Systems and Techniques with Lab | ||
| Intermediate Geographic Information Systems (GIS) | ||
| Predictive Analytics | ||
| Data Mining and Analytics (Data+) | ||
| Foundations of Data Science and Artificial Intelligence | ||
| Major Units | 27 | |
| Local General Education or CalGETC pattern | varies | |
| Electives to Satisfy Unit Requirement | varies | |
| Total Units for Degree | 60 | |