This degree program provides students with a solid foundation in the fields of data science, business intelligence, and analytics. The program is designed to prepare students for entry-level jobs or to help them advance into careers, such as Business Analytics Specialist, Data Analyst, Data Visualization Developer, Operations Research Analyst, and Market Research Analyst. Topics covered include data analysis, data mining, statistical modeling, SQL queries and data views, systems analysis and design, data visualization and reporting, and applied predictive analytics.
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The degree program goal is Career Technical Education (CTE) with emphasis on careers in the field of computer information systems. The program is not selective and does not have any mandatory fees.
Program completers are anticipated to acquire competencies in the areas of data analysis, data mining, statistical modeling, SQL queries and data views, systems analysis and design, data visualization and reporting, and applied predictive analytics.
The required core courses may be taken in any order, but it is recommended that students take these courses in the order listed below.
Course | Title | Units | Year/Semester (Y1 or S1) |
---|---|---|---|
CIS C111 | Information Systems, Programming, and Database Management | 3 | Yr 1 Sem 1 |
CIS C157 | Introduction to Python Programming | 3 | Yr 1 Sem 1 |
CIS C240 | SQL Database Development | 3 | Yr 1 Sem 2 |
CIS C250 | Introduction to Data Analytics | 3 | Yr 1 Sem 2 |
CIS C260 | Systems Analysis and Design | 3 | Yr 2 Sem 3 |
CIS C285 | Data Governance, Privacy, and Policies | 3 | Yr 2 Sem 3 |
CIS C280 | Data Visualization | 3 | Yr 2 Sem 4 |
CIS C270 | Predictive Analytics | 3 | Yr 2 Sem 4 |
CIS C275 | Data Mining and Analytics (Data+) | 3 | Yr 2 Sem 4 |
CIS C190 | Introduction to Geographic Information Systems and Techniques with Lab | 3 | |
CIS C191 | Intermediate Geographic Information Systems (GIS) | 3 |
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