The Data Science AS degree is designed to provide practical literacy of the mathematical,
computational, and statistical methods and tools used by data scientists at all levels.
The degree addresses key areas of knowledge in data science, such as matrix algebra,
statistical analysis, and data visualization. Students will utilize computing technologies
for large data applications.
The Associate of Science degree is granted to students who have completed at least
12 semester units of the required 60-degree applicable semester units at Glendale
Community College. The required 60 semester units must include all of the following:
(1) Completion of the courses required in the major or area of emphasis with a grade
of “C” or better, or a “P” grade. (2) Completion of one of the following general education
patterns: GCC General Education Requirements or the California General Education Transfer
Curriculum (Cal-GETC) requirements. (3) A minimum GPA of 2.0 in the required 60 semester
units.
Program Learning Outcomes: Upon completion of this program, the student will be abe to analyze and clean data
in databases; interpret and evaluate data trends, qualitative research, or patterns
in complex data sets using statistical techniques, analytic methods, and tools; create
and monitor reports to preserve data quality, identify critical issues, ethical issue,
trends in diversity and social justice, and potential solutions; acquire knowledge
of how to apply Python and/or Java, dashboards, and other tools to data science in
the areas of analysis and communicating data representation; and obtain large data
sets, process them, and analyze them utilizing techniques for matrix manipulation,
data exploration, pattern identification, and inferences.
Associate of Science Program Map
| REQUIRED COURSES FOR MAJOR |
UNITS |
| MATH 103E/103E+/103EH |
Calculus & Analytic Geometry I |
5-6 |
| MATH 104E/104EH |
Calculus & Analytic Geometry II |
5 |
| MATH 107/107H |
Linear Algebra |
5 |
| CHOOSE ONE OF THE FOLLOWING |
|
| MATH 137 |
Statistics for Data Science |
5 |
| STAT C1000/C1000E/C1000H |
Introduction to Statistics |
4 |
| CHOOSE ONE OF THE FOLLOWING |
|
| CS/IS 135 |
Programming in C/C++ |
3 |
| CS/IS 112 |
Introduction to Programming/Java |
3 |
| CS/IS 151 |
Python Programming |
3 |
| CHOOSE ONE OF THE FOLLOWING |
|
| CS/IS 211 |
Data Structures |
4 |
| CS/IS 270 |
Python for Data Science |
3 |
| CHOOSE ONE OF THE FOLLOWING |
| GEOG 155 |
Introduction to Geographic Information Systems |
3 |
| PSYC 200 |
Research Methods for Psychology |
3.5 |
| SOC 200 |
Research Methods for Sociology |
3.5 |
| LIB 100 |
Critical Approaches to Information Research |
3 |
| PHILO 116 |
Ethics for Modern Life |
3 |
| MATH 108/108H |
Ordinary Differential Equations |
5 |
| ENGR 156 |
Programming and Problem-Solving and MATLAB |
3 |
| MATH 105/105H |
Multivariable and Vector Calculus |
5 |
| CS/IS 125 |
Discrete Structures for Computing |
4 |
| ECON C2001 |
Principles of Microeconomics |
3 |
| ECON C2002/C2002H |
Principles of Macroeconomics |
3 |
| TOTAL UNITS REQUIRED |
28-33 |
Units for the major may be double counted for Cal-GETC or GCC General Education. Elective
units may be used to reach the 60-unit degree requirement.
NOTE: ADDITIONAL COURSEWORK MIGHT BE REQUIRED DUE TO PREREQUISITES. SEE A COUNSELOR
FOR A PERSONALIZED STUDENT EDUCATIONAL PLAN.
| Fall 2026 |
GCC Catalog 2026-2027
|
|
Important Notice: In the event of a discrepancy between the information presented
above and the online and/or print versions of the GCC Catalog, please contact a counselor
or the office of Admissions and Records. For previous years requirements please see
the catalog from that year.
|
