UNDERGRADUATE CERTIFICATE IN DATA SCIENCE
Total Credit Hours: 12
Program Length: As little as 8 months
The Data Science certificate encompasses various facets of data science, including statistical analysis, machine learning, data visualization, and data-driven decision-making. Students will participate in a structured and in-depth learning experience, gaining proficiency in both theoretical concepts and practical applications of data science methodologies.
- Complete in as little as 8 months
- No prerequisites
- Transfer credits toward any bachelor’s degree at SC
Recently ranked as one of the Top Accredited Online Colleges, Southwestern College offers quality online degrees to adult learners. With courses taught by expert faculty and access to a variety of student resources, SC learners are provided with the tools and flexibility needed to succeed in their education while preparing for professional advancement.
Anyone interested in completing the Certificate in Data Science may complete a Southwestern College Professional Studies Application for Admission. The four courses comprising the Data Science Certificate can be completed in eight months or less and there are no prerequisites.
Individuals completing the Data Science Certificate at Southwestern College may apply these 12 multi-discipline credit hours toward any bachelor’s degree offered by Southwestern College Professional Studies as either a major requirement or an elective.
The Data Science Certificate is offered in an online format. Courses are delivered in six-week sessions to allow maximum flexibility for busy professionals.
CORE MAJOR REQUIREMENTS
DASC240 Role of Data Analysis
The role of data analysis will explore the foundations of data analysis and its role in decision-making. Students will study the foundations of data analysis and the role of collecting, cleaning, and organizing data to ensure the data is accurate and accessible for interpretation to inform stakeholders. Credit 3 hours.
DASC310 Data Analytics
Students will study the role of data and the importance of data informed decisions. Students will explore statistical analysis, dealing with different types of data, data science methodology and how to examine and present this data for strategic decision making. Credit 3 hours.
DASC320 Data Science
Data science is the study of data to extract meaningful information and will build upon the role of data analytics. Students examine this multidisciplinary approach that combines principles from mathematics and computer science with a focus on designing of processes for data modeling and analysis. Credit 3 hours.
DASC330 Cleaning Data and Data Visualization
This course will examine the importance of complete and accurate data along with the ability to present it for ease of interpretation and understanding. Students explore the practice of translating information into a visual context, such as a presentation or report making it easier for decision makers to understand and identify patterns and trends. Credit 3 hours.