Apr 27, 2025

2025-2026 General Catalog [Effective Fall 2025]

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2025-2026 General Catalog [Effective Fall 2025]

Data Science (Certificate)

Location(s): Main Campus
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Program Information

This program requires the completion of multiple math courses. Students who are not prepared for these math courses may need additional math credits/preparation, which may affect time to graduation. Please consult your Student Success Advisor for more information.

Certificate Completion

This certificate program may be completed independently and does not require enrollment in or completion of any degree program to be awarded.

Data Science Curriculum (28-29 Credits)

Required Courses (25-26 Credits)

ANLY 4100 - Data Analytics I 3 Credit(s)
ANLY 4110 - Data Analytics II 3 Credit(s)
CSCY 2400 - Technology and Ethics 3 Credit(s) [GE Social/Behavioral Sciences]
MATH 1210 - Calculus I 4 Credit(s) [GE Quantitative Literacy]
MATH 2170 - Applied Linear Algebra 3 Credit(s)
MATH 3150 - Applied Statistics 3 Credit(s)
MATH 3190 - Fundamentals of Data Science 3 Credit(s)

Complete One of the Following (3-4 Credits)

MATH 1040 - Statistical Inference 4 Credit(s) [GE Quantitative Literacy]
MATH 1190 - Introduction to Data Science 3 Credit(s) [GE Quantitative Literacy]
MATH 3700 - Probability and Statistics 4 Credit(s)

Programming Course (3 Credits)

Complete one of the following:

ANLY 2500 - Introduction to Business Analytics 3 Credit(s)
CS 1400 - Fundamentals of Programming 3 Credit(s)
CSCY 1200 - Critical Thinking for Logic and Design 3 Credit(s)

Total Credits, Certificate: 28-29

Program Learning Outcomes

Graduates of the Data Science Certificate will have an ability to:

Develop required programming abilities.
Gain proficiency with statistical analysis of data.
Build and assess data-based models.
Carry out statistical analyses with statistical software.
Acquire skill in data management.
Apply data science concepts and methods to solve problems in real-world contexts and communicate these solutions effectively.