Associate Degree of Science in Data Science

Catalog Description:

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.

Program Requirement:

Before entering this program, student must complete MAT – 35 and MAT-10 or MAT-23 or qualifying placement level in mathematics to be successful in courses in the program.

 Program Learning Outcomes:

Upon successful completion of this program, students should be able to:

·       Identify, extract, clean and maintain data in databases.

·       Interpret and evaluate data trends or patterns in complex data sets using statistical techniques, analytic methods, and tools.

·       Create and monitor reports to preserve data quality, identify critical issues, trends, and potential solutions.

Enrollment and Completer Projections

Enrollment Projects for courses are as followed:

Required courses:

·       CIS-1A:49 students

·       MAT-70A/CIS-70A:49 students

·       MAT-70B:49 students

·       CIS/CSC-61:49 students

·       CIS/CSC-63:49 students

·       CIS-30Aor CSC-8: 49 students

·       CIS-68B:49 students

Electives:

·       CIS-68A:49 students

·       CIS-68B:49 students

·       CIS-2: 49students

·       CIS-20:49 students

This program is expected to have 50 to 100 students by Fall 2023. 

Program Goals and Objectives

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.

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