Data Analytics Bachelor's Degree Program

• 100% online
• Industry-aligned curriculum with hands-on training in Python, SQL, and Power BI.
• Be prepared to earn industry-recognized certifications.
• Fast Track option for students to begin graduate coursework during their undergraduate program.
• Competitive Tuition; Federal Financial Aid available; Scholarships, Payment Plans and Transfer Credit friendly.

All major requirements must be completed with a grade of 'C' or higher. This major requires a minimum of 48 credits; 12 credits in the major must be taken at Charter Oak. See the full requirements for our Data Analytics major in our Official Catalog.

• ITE 115: Program Logic and Design with Python3 credits
• ITE 215: Software Development Methodologies and Languages3 credits
• ITE 211: Data Structures and Algorithms3 credits
• Principles of Data Science3 credits
• Introduction to Artificial Intelligence and Generative AI3 credits
• Introduction to Machine Learning3 credits
• Introduction to Databases & SQL Programming3 credits
• Data Preparation & Processing3 credits
• Introduction to R Programming3 credits
• Data Analysis with Python3 credits
• Data Analysis Techniques3 credits
• Data Modeling with Power BI3 credits
• Data Visualization with Power BI3 credits
• Agile Development and Management3 credits
• Cloud Foundations3 credits
• Data Analytics Capstone3 credits

What should prospective students know before starting the program?

• The curriculum is math and programming-intensive.
• Students should be comfortable with data-driven problem-solving and critical thinking.

Eligibility Guidelines

• Students must have and maintain a minimum undergraduate Charter Oak GPA of 3.0.
• Students must have completed at least 90 credits toward their Bachelor's degree prior to taking Graduate level courses.
• Only one Graduate level course can be taken in each 8-week term.
• For Graduate courses taken at the Undergraduate level, a student must earn a final grade of B- or better to be transferred to their Graduate record.
• Students in the accelerated Fast Track program may not use Credit for Prior Learning towards graduate credits.

Students who graduate with a major in Data Analytics will be able to:

• demonstrate foundational knowledge of data science concepts, including data types, statistical measures, database structures, and data analysis techniques;
• apply programming languages and industry-standard tools to perform comprehensive data cleaning, manipulation, analysis, and visualization tasks;
• analyze large datasets to uncover patterns, trends, and relationships, ensuring data quality and integrity for accurate insight;
• design and implement data analytics solutions, integrating agile methodologies for iterative and collaborative project development;
• develop and train machine learning models, optimizing them for predictive accuracy in real-world applications;
• evaluate and apply artificial intelligence techniques and generative models to solve complex analytical problems; and
• synthesize knowledge of data science, programming, and analytical methods to produce actionable insights that inform decision-making across industries.