Data Science

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. Program Learning Outcomes: Upon completion of this program, the student will 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. Obtain large data sets, process them, and analyze them utilizing techniques for matrix manipulation, data exploration, pattern identification, and inferences.

Associate in Science Program Map

PREREQUISITE COURSES	REQUIRED COURSES FOR CERTIFICATE		UNITS
	Select one of the following:
Placement is based on academic background or satisfactory completion of MATH 110 or 110B	MATH 103E	Calculus & Analytic Geometry I	5
Placement is based on academic background or satisfactory completion of MATH 110 or 110B	MATH 103E+	Calculus & Analytic Geometry I with Support	6
Placement is based on academic background or satisfactory completion of MATH 110 or 110B	MATH 103EH	Honors Calculus & Analytic Geometry I	5
	Select one of the following:
MATH 103	MATH 104E	Calculus & Analytic Geometry II	5
MATH 103	MATH 104EH	Honors Calculus & Analytic Geometry II	5
	Select one of the following:
MATH 104	MATH 107	Linear Algebra	5
MATH 104	MATH 107H	Honors Linear Algebra	5
	Select one of the following:
Placement is based on academic background or satisfactory completion of MATH 90.	MATH 137	Statistics for Data Science	5
Placement is based on academic background or satisfactory completion of MATH 90.	STAT C1000	Introduction to Statistics	4
Placement is based on academic background or satisfactory completion of MATH 90.	STAT C1000E	Introduction to Statistics	5
Placement is based on academic background or satisfactory completion of MATH 90.	STAT C1000H	Introduction to Statistics - Honors	4
	Select one of the following:
CS/IS 112 or equivalent	CS/IS 135	Programming in C/C++	3
	CS/IS 112	Introduction to Programming/Java	3
	CS/IS 151	Python Programming	3
	Select one of the following:
CS/IS 135 or equivalent	CS/IS 211	Data Structures	4
	CS/IS 270	Python for Data Science	3
	Choose one of the following courses (3-5 units)
	GEOG 155	Introduction to Geographic Information Systems	3
PSYC C1000 and STAT C1000.	PSYCH 200	Research Methods for Psychology	3.5
SOC 101 and STAT C1000	SOC 200	Research Methods for Sociology	3.5
	LIB 100	Critical Approaches to Information Research	3
	PHILO 116	Ethics for Modern Life	3
MATH 104, MATH 104H, MATH 104E, or MATH 104EH	MATH 108	Ordinary Differential Equations	5
MATH 104, MATH 104H, MATH 104E, or MATH 104EH	MATH 108H	Honors Ordinary Differential Equations	5
MATH 103E or equivalent.	ENGR 156	Programming and Problem-Solving and MATLAB	3
MATH 104, 104E, or MATH 104EH	MATH 105	Multivariable and Vector Calculus	5
MATH 104, 104E, or MATH 104EH	MATH 105H	Honors Multivariable and Vector Calculus	5
CS/IS 135 or equivalent.	CS/IS 125	Discrete Structures for Computing	4
	ECON 101	Principles of Microeconomics	3
	ECON 102	Principles of Macroeconomics	3
	ECON 102H	Honors of Principles of Macroeconomics 3
	TOTAL UNITS REQUIRED		28-33

NOTE: ADDITIONAL COURSEWORK MIGHT BE REQUIRED IF PREREQUISITES ARE NOT MET. SEE A COUNSELOR TO PREPARE A STUDENT EDUCATIONAL PLAN.

Fall 2025	GCC Catalog 2025-2026
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.