Data Science (Certificate)

Location(s): Main Campus
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Program Summary

The Data Science Certificate provides a foundation for students in mathematics, computer science, science, statistics, or business to gain a foundational knowledge of the techniques and mathematics of data science. Students will be able to use these tools in their chosen field. Data Science is one of the fields experiencing the highest growth in demand, so adding this certificate to a degree among those mentioned above will improve a student’s background and marketability.

Program 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 (29 Credits)

Required Courses (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)
MATH 1210 - Calculus I 4 Credit(s) *
MATH 3150 - Applied Statistics 3 Credit(s)
MATH 2170 - Applied Linear Algebra 3 Credit(s)
MATH 3190 - Fundamentals of Data Science 3 Credit(s)

Complete One of the Following (4 Credits)

MATH 1040 - Statistical Inference 4 Credit(s) *
MATH 3700 - Probability and Statistics 4 Credit(s)

Note

* Students who are not prepared for this math course may need additional math credits/preparation. Please consult your Student Success Advisor for more information.

Programming Course (3 Credits)

Complete one of the following:

CS 1400 - Fundamentals of Programming 3 Credit(s)
CSCY 1200 - Critical Thinking for Logic and Design 3 Credit(s)
CSCY 1300 - Programming with Python 3 Credit(s)

Total Credits, Certificate: 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.