Codes and Dates
Current Effective Date 2025 Fall Semester
Curriculum Committee Approval: 03/03/2025
Board of Trustees Approval: 06/03/2025
Program Control Number 43188
Department: ISDS
Subject: (DS) Decision Science
TOP Code 0599.00 - Other Business and Management*
Description
The AS Degree in Data Analytics and Predictive Modeling qualifies the student for entry-level data analyst position in business, government, all other industries. Students interested in pursuing a B. S. Degree in Data Analytics should consult the catalog of the institution to which they wish to transfer for the specific requirements of that program.
Program Learning Outcomes
Upon successful completion of this program, students will be able to:
1. Solve data-related problems using a programming language used in data science
2. Solve problems that require the application of computational thinking.
3. Produce and interpret data visualizations to describe, explore and communicate insights from data.
4. Recognize questions and problems that can be investigated using data
5. Fit, interpret and evaluate basic statistical models, including cross-validation
6. Demonstrate the ability to acquire data in diverse formats and structures
7. Demonstrate knowledge of mathematical foundations
Degree Requirements
Required Courses
7.0
CIT 28
Client/Server Databases (Active)
3.0
DS 10
Introduction to Data Science (Active)
4.0
Finite Mathematics
3.0
DS 21
Finite Mathematics (Active)
3.0
OR
MATH 21
Finite Mathematics (Active)
3.0
Statistics
3.0-4.0
DS 23
Business Statistics (Active)
3.0
OR
STAT C1000
Introduction to Statistics (Active)
4.0
OR
MATH 42 (same as PSYC 42)
Statistics for the Behavioral Sciences (Active)
4.0
Programming Language
3.0-4.0
CIT 95
Introduction to Python Programming (Active)
4.0
OR
DS 55
Visualizing Data (Active)
3.0
Select one course:
3.0-4.0
CIT 99
Introduction to Machine Learning (Active)
4.0
OR
DS 25
Business Analytics Using R (Active)
3.0
Total: 19.0-22.0