Sep 23, 2019  
2018-2019 Academic Catalog 
2018-2019 Academic Catalog [ARCHIVED CATALOG]

Bachelor of Science, Data Science (Program Description)

Total Degree Credits: 120

See the Bachelor of Science, Data Science, (Plan of Study)  


Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured. New computational and analytic approaches to a vast array of forms, scales, and sources of data are now critical to research, decision-making, and action.

Data scientists develop mathematical models, computational methods and tools for exploring, analyzing and making predictions from data. They ask appropriate questions about data and interpret the predictions based on their expertise of the subject domain.

The rigorous curriculum in Data Science program focuses on the fundamentals of applied mathematics, computer science, probability, statistics, optimization, and machine learning while incorporating real-world examples.

In addition to taking Data Science core curriculum subjects, students also complete a concentration in one of five areas: Big Data Analytics, Internet of Things, Health Informatics, Intelligent Mobility, or Quantitative Economics & Econometrics.

After completion of the B.S. in Data Science, students will:

  • Demonstrate an in-depth knowledge of fundamental data science concepts.
  • Analyze a given data science problem and be able to formulate a correct solution in terms of the datasets needed, the learning techniques required and the software technologies to be utilized
  • Turn data into actionable insights by using advanced analytics, visualization, reporting and machine learning
  • Understand relevant statistical and optimization concepts and know how to apply these to data science problems in practice
  • Apply emerging artificial intelligence technologies to applicable problems
  • Look for unbiased hidden patterns to understand KPIs and organizational challenges.

College Skills (1) & Co-Curricular

All majors are required to complete an approved internship/professional experience prior to graduation.

General Education (38)

Click here to view the complete list of General Education  offerings. The State of Florida requires a minimum of 36 credit hours of general education for the baccalaureate degree. The following are required for the B.S. in Data Analytics. 

Arts and Humanities (3 to 6)

Social Sciences (6 to 9)

Data Science majors select 12 credits from Art and Humanities and Social Sciences. Students may opt to take 9 credits in Social Science and 3 in Arts and Humanities, or divide them evenly. Six credits, as noted below, must be taken in Social Sciences.

Concentrations (12)

Students choose twelve credits from one concentration area.