Associate Degree of Science in Data Science provides students with a foundation in data analysis, in which students will model, synthesize, and present large data sets for business decision making. Courses will focus on the techniques and tools to extract data from various data sources, model, integrate data, and visualize data for organizational decision making and intelligence gathering. The program prepares students for entry-level jobs, or to help them advance into careers, such as Operation Data Analyst, Business Analytics Specialist, System Data Analyst, Data Visualization Developer, Test Data Analyst, and Market Research Analyst. Topics covered will include statistics, research methods, SQL queries, systems analysis, design, and applied predictive analytics.
The initial enrollment projects for the this degree is 35 students annually.
Upon successful completion of this program, students should be able to:
1. Identify, extract, clean and maintain data in databases.
2. Interpret and evaluate data trends or patterns in complex data sets using statistical techniques, analytic methods, and tools.
3. Create and monitor reports to preserve data quality, identify critical issues, trends, and potential solutions.
Before entering this program, student must complete MAT – 11 or qualifying placement level in mathematics to be successful in mathematics and analysis courses in the program.
Required Courses: 37 .units
|CIS-1A||Introduction to Computer Information Systems||3||Semester 1|
|MAT-70A/CIS-70A||Foundations of Data Science (NEW)||3||Semester 1|
|CIS/CSC-61||Introduction to Database Theory (RCC, MVC)||3||Semester 1|
|CIS-30A or CSC-8||Introduction to Python (MVC)Programming Concepts: Python||3||Semester 1|
|MAT-70B||Statistics for STEM (NEW)||3||Semester 2|
|MAT-1A||Calculus I||4||Semester 2|
|CIS/CSC-63||Introduction to Structured Query Language (RCC) – (MVC Adoption)||3||Semester 2|
|MAT-1B||Calculus II||4||Semester 3|
|CIS-30E||Advanced Python (MVC)||3||Semester 3|
|MAT-1C||Calculus III||4||Semester 4|
|MAT-3||Linear Algebra||4||Semester 4|
Elective Courses: 3 .units
|CIS-68A or||Introduction to Machine Learning (NEW)||3||Semester 3|
|CIS-68B or||Big Data (NEW)||3||Semester 3|
|CIS/CSC-2 or||Fundamental of System Analysis||3||Semester 4|
|CIS/CSC-20||System Analysis and Design (RCC, MVC)||3||Semester 4|
Total Program Units: 40 .units
Associate of Science Degree
The Associate of Science Degree in Data Science will be awarded upon completion of the degree requirements, including general education and other graduation requirements as described in the college catalog.
|Minimum Degree Requirements||Maximum Degree Requirements|
|Minimum Required Units||37||Maximum Required Units||37|
|Minimum Elective Units||3||Maximum Required Units||3|
|Local GE Required Units||27||CSUGE Required Units||39|
|Double Count Units||7||Double Count Units||4|
|Total Minimum Degree Units||60||Total Maximum Degree Units||75|
Diann Thursby · 03/14/22
Received regional recommendation at 3-14-2022 IEDRC Deans Meeting