Technology Studies: Data Science Certificate (DTSC-CC-COT)

This 2024-25 Curriculum Guide is intended as a reference for Fall 2024 registration. The complete 2024-25 Academic Catalog will be finalized on July 1, 2024.

The Certificate in Data Science provides exposure to key elements of data science including data structures and data sources, programming languages, statistical principles, computing and analytics, data management, machine learning tools, and data science applications.  This certificate needs to be paired with a transfer associates degree in any field (recommended fields include mathematics, applied sciences, computer science, computer programming, business, marketing, web design).

Learning Outcomes:

Upon successful completion of all program requirements, graduates should be able to:

• Master key facets of data investigation, including data wrangling, cleaning, sampling, management, exploratory analysis, regression and classification, prediction, and data communication
• Implement foundational concepts of data computation, such as data structure, algorithms, simulation, and analysis.
• Utilize various technologies to organize, analyze, explore, and visualize data
• Execute data organization, exploration, and develop proficiency in the programming language of R
• Apply advanced statistical techniques 
• Understand machine learning models and their applications