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California Regional Consortia

Data Science

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Submitter's Information

Name

Crystal Thornton

Title

Curriculum Specialist

Region

North/Far North

College

Sacramento City College

CTE Dean

CTE Dean's Name

Rick Hodge

CTE Dean's Email

Log in to view CTE Dean's Email.

Program Details

Program Title

Data Science

Submission Type

New Program

TOPs Code

Computer Software Development (070700)

Projected Start Date

01/01/24

Catalog Description

This degree program is designed for students who aspire to master the essential knowledge and skills required for data storage, discovery, analysis, visualization, and application. Students will learn to derive value from data and apply data science and analytics techniques to make effective data-driven decisions.

Successful program completion will provide students with job opportunities in data science.

Data science-related job titles such as data scientist, data analyst, business analyst, and computer programmer (i.e., Python, R, SAS) are all possible job opportunities.

The top five industries hiring data-related expertise include Professional, Scientific and Technical Services, Information Technologies, Manufacturing, Finance and Insurance and Retail Trade.

Enrollment Completer Projections
 

CB01: Course Department & Number CB02:
Course Title 		Annual # Sections Annual Enrollment Total Annual # Sections Annual Enrollment Total
CISA 323 Database Management using Microsoft Access 3 104 3 109
CISA 324 Intermediate Database Management using Access 2 75 2 56
CISP 350 Database Programming 1 42 2 60
CISP 301 Algorithm Design and Implementation 13 452 12 433
CISP 357 Introduction to Data Science 2 38 3 61
CISP 358 Data Analysis 1 19 1 12
CISP 359 Data Modeling and Machine Learning 1 9 1 11

Program Proposal Attributes

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

Upon completion of this program, the student will be able to:

  • explain how data is useful in business or career.
  • demonstrate understanding of data management, integration, quality, and transformation.
  • evaluate the core concepts in data science and data application.
  • analyze data using statistical methods and techniques.
  • apply data analytics techniques for effective data-driven decision-making.
  • predict outcomes with supervised machine learning techniques.
Career
Opportunities:		 Successful program completion will provide students with job opportunities in data science.

Data science-related job titles such as data scientist, data analyst, business analyst, and computer programmer (i.e., Python, R, SAS) are all possible job opportunities.

The top five industries hiring data-related expertise include Professional, Scientific and Technical Services, Information Technologies, Manufacturing, Finance and Insurance and Retail Trade.

Course Units and Hours

Total Certificate Units (Minimum and Maximum)

n/a

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

19-20

Total Units for Degree (Minimum and Maximum)

60

Course Report

Program Requirements Narrative

Associate in Science Degree

The Data Science Associate in Science (A.S.) degree may be obtained by completion of the required program, plus general education requirements, plus sufficient electives to meet a 60-unit total.

Required Program
[CISA 323 Database Management using Microsoft Access (2) 3 - 4
   and CISA 324 Intermediate Database Management using Access (2)]
   or CISP 350 Database Programming (3)
CISP 301 Algorithm Design and Implementation 4
CISP 357 Introduction to Data Science 4
CISP 358 Data Analysis 4
CISP 359 Data Modeling and Machine Learning 4
Total Units: 19 - 20
Program Requirements
  Requirements Designator & Number   Course Title   Units   Sequence
 (4 units) CISP 301 Algorithm Design and Implementation 4 Yr 1, Fall  
 (3-4 units) [CISA 323 and CISA 324] or CISP 350 Database Management using Microsoft Access and Intermediate Database Management using Access or Database Programming 2 and 2 or 3   Yr 1, Spring  
 (4 units) CISP 357 Introduction to Data Science 4 Yr 1, Spring  
 (4 units) CISP 358 Data Analysis 4 Yr 2, Fall  
 (4 units) CISP 359 Data Modeling and Machine Learning 4 Yr 2, Spring  

ProposedSequence: 

Year 1, Fall = 4 units

Year 1, Spring = 7-8 units

Year 2, Fall = 4 units

Year 2, Spring = 4 units

TOTAL UNITS: 19-20 units

Supporting Documents

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Submission Details

Published at

06/13/23 - 11:21 PM

Status

Recommended

Return to Drafts

Please list the reason(s) for returning "Data Science". to Crystal Thornton's drafts. This message will be sent to thorntc@scc.losrios.edu

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