Fundamentals of Data Science
A.S. Degree Mathematics · Berkeley City College · 2026-2027 Catalog
Program Description
The A.S. in Fundamentals of Data Science is designed to provide students with the first two years of math, statistical analysis, and computer programming to pursue a four-year degree with a major in Data Science. Successful completion of the curriculum in Fundamentals of Data Science offers students a breadth of knowledge that could be used directly for the Data Science degree as well as applied to a degree in Social Science, Business, Computer Science, or the Sciences. This degree is intended for students who are considering transfer or for students who are required to complete a degree for job promotion. In all cases, students should consult with a counselor to develop an appropriate program of study.
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Career Opportunities
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Transfer to a 4-year university with a major in Data Science or a related field.
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Learning Outcome(s)
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- Apply analytical concepts and techniques from statistics, probability, calculus, and linear algebra to problems in the field of Data Science.
- Use programming and data analytics tools and computational techniques to make statistical inferences on data from a domain of interest.
- Analyze data using multiple representations such as graphs, text, or tables, being mindful of concerns around data bias and privacy.
| Course | Title | Units |
|---|---|---|
| Required Courses: | 19 | |
| MATH 3A | Calculus I | 5 |
| MATH 3B | Calculus II | 5 |
| MATH 3E | Linear Algebra | 3 |
| MATH 118 | Foundations in Data Science | 4 |
| CIS 42A | Spreadsheet Applications I | 2 |
| Select one course from the following list: | 5 | |
| CIS 5 | Introduction to Computer Science | 5 |
| CIS 6 | Introduction to Computer Programming | 5 |
| Select one course from the following list: | 4 | |
| CIS 27 | Data Structures and Algorithms | 4 |
| CIS 84 | Database Programming for the Web | 4 |
| Select three courses from the following list: | 8-12 | |
| BIOL 51 | Introduction to Bioinformatics | 4 |
| BIOL 118 | Introduction to Environmental Science | 3 |
| BUS 24 | Computerized Accounting Principles | 3 |
| BUS 70 | Introduction to Marketing | 3 |
| CIS 025A | Object Oriented Programming Using C++ | 4 |
| CIS 27 | Data Structures and Algorithms | 4 |
| CIS 36A | Java Programming Language I | 4 |
| CIS 42B | Spreadsheet Applications II | 2 |
| CIS 84 | Database Design and Programming | 4 |
| ECON C2001 | Principles of Microeconomics | 3 |
| ECON C2002 | Principles of Macroeconomics | 3 |
| MATH 3F | Differential Equations | 3 |
| PHIL 11 | Formal Logic | 3 |
| PSYCH 28 | Introduction to Research Methods in Psychology | 3 |
| SOC 120 | Introduction to Research Methods | 3 |
| STAT C1000 | Introduction to Statistics | 4 |