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. Topics covered will include statistics, research methods, SQL queries, systems analysis, design, and applied predictive analytics.
Upon successful completion of this program, students should be able to:
This program is expected to have 50 to 100 enrolled students annually.
This 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. This program addresses industry’s continuing demands for professionals to test and build tools to meet the data quality validation needs for a cloud platform-based application and building enterprise analytics of large data volume. Based on Inland Empire/Desert region Labor Market Information report, the data-analysis occupation is projected to have 189 annual job openings, increasing employment by 8% through 2024. The 10th percentile hourly wage for data analysis related occupations exceeds the Family Needs Calculator self-sustainability rate, indicating that approximately the top 90% of workers in this occupation earn self-sufficient hourly wages. The courses in this program will also align with university courses, which will permit students to transfer to further develop skills and knowledge in the areas of Data Science.
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.
Completion of required 37 units in CIS and Math courses, and 3 units of elective coursework, which total 40 units for this program.
Required courses: 37 units
(Y1 or S1)
|CIS-1A||Introduction to Computer Information Systems||3||S1|
|MAT-70A/CIS-70A||Foundations of Data Science||3||S1|
|CIS-61||Introduction to Database Theory ||3||S1|
|CIS-30A||Introduction to Python Programming||3||S2|
|MAT-70B||Statistics for STEM||3||S2|
|CIS-63||Introduction to Structured Query Language||3||S3|
Elective courses: 3 units
(S1 or Y1)
|CIS-68A||Introduction to Machine Learning||3||S4|
|CIS-2||Fundamental of System Analysis||3||S4|
|CIS-20||System Analysis and Design||3||S4|
Diann Thursby · 05/10/21
Received regional recommendation at 5-10-2021 IEDRC Deans Meeting.