# Data Science (Certificate of Achievement) Santiago Canyon College · 2025-2026 Catalog · Department: Computer Science Source: https://sccollege.elumenapp.com/catalog/catalog/program/data-science-ca-spring-intersession-2026 The Certificate of Achievement in Data Science will provide students with a solid foundation in the fields of data science, industry intelligence, and analytics. The program is designed to prepare students for entry-level jobs, or to help them advance in careers, such as Associate Data Scientist, Junior Data Scientist, Modeling and Simulation Specialist, Modeling and Simulation Analyst, Big Data Analyst, and Senior Data Analyst. ### Program Courses & Requirements | Course | Title | Units | | --- | --- | --- | | **Data Science, CA: Complete all of the following** | | 16-19.5 | | **Major Requirements** | | 13-15 | | **Please select CIS111 or CMPR120. Credit will be awarded for only one selection.** | | | | CIS 111 | Python Programming | 3 | | CMPR 120 | Introduction to Programming | 3 | | CMPR 131 | Data Structures Concepts | 3 | | MATH 225 | Introduction to Data Science | 4 | | **Please select MATH287 or MATH290. Credit will be awarded for only one selection.** | | | | MATH 287 | Introduction to Linear Algebra and Differential Equations | 5 | | MATH 290 | Linear Algebra | 3 | | **Select one (1) course from the following list** | | 3-4.5 | | CMPR 121 | Programming Concepts | 3 | | CMPR 149 | Discrete Structures for Computer Science | 3 | | MATH 270 | Discrete Mathematics | 3 | | PSYC 220 | Introduction to Research Methods in Psychology | 4 | | SOC 120 | Introduction to Sociological Research Methods | 3 | | SOC 125 | Introduction to Statistics in Sociology | 3 | | SOC 125H | Honors Introduction to Statistics in Sociology | 3 | | STAT C1000 | Introduction to Statistics | 4 | | STAT C1000E | Introduction to Statistics | 4.5 | | STAT C1000H | Introduction to Statistics - Honors | 4 | ### Learning Outcomes - Solve organizational problems by applying the methods, techniques, and tools relevant to systems analysis and design. - Demonstrate prescriptive analytics techniques to common industry scenarios.