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Submitter's Information


Kasey Nguyen


CIS Associate Professor


Inland Empire/Desert


Moreno Valley College

CTE Dean

CTE Dean's Name

Melody Graveen

CTE Dean's Email

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Program Details

Program Title

Associate Degree of Science in Data Science

Submission Type

New Program

TOPs Code

Computer Systems Analysis (070730)

Projected Start Date


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. 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:

  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.
Enrollment Completer Projections

This program is expected to have 50 to 100 enrolled students annually.

Program Proposal Attributes

Program Award Type(s) (Check all that apply)
  • A.S. Degree (S)
Program Goal

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. 

Course Units and Hours

Total Certificate Units (Minimum and Maximum)


Units for Degree Major or Area of Emphasis (Minimum and Maximum)


Total Units for Degree (Minimum and Maximum)


Course Report

Program Requirements Narrative

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.

Program Requirements

Required courses: 37 units

(Y1 or S1)
CIS-1AIntroduction to Computer Information Systems
MAT-70A/CIS-70AFoundations of Data Science3S1
CIS-61Introduction to Database Theory 
CIS-30AIntroduction to Python Programming3S2
MAT-70BStatistics for STEM3S2
MAT-1ACalculus I4S2
CIS-63Introduction to Structured Query Language3S3
MAT-1BCalculus II4S3
CIS-30EAdvanced Python3S3
MAT-1CCalculus III4S4
MAT-3Linear Algebra4S4

Elective courses: 3 units

(S1 or Y1)
CIS-68AIntroduction to Machine Learning3S4
CIS-68BBig Data3S4
CIS-2Fundamental of System Analysis3S4
CIS-20System Analysis and Design3S4

Supporting Documents

Upload Labor Market Information (LMI)

Inland/Empire Desert Regional Questions

Submission Details

Published at

04/14/21 - 07:33 PM



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Diann Thursby Super User   ·  05/10/21

Received regional recommendation at 5-10-2021 IEDRC Deans Meeting.