The Data Science B.S. spans a variety of sub-disciplines within the greater field of data science, including mathematics, statistics, specialized programming, algorithm design, and the fundamentals of uncovering, interpreting and communicating the business insights obtained from the data to help businesses make informed decisions.
This is an interdisciplinary Bachelor of Science program in Data Sciences, offered jointly by the departments of Computer Science, Statistics and Data Science, Mathematics, and Industrial Engineering and Managements Systems at UCF.
This program will entail 120 credit hours for graduation, with 49 credit hours of required courses. By graduation, students will be able to:
- Use state-of-the-art software tools to perform data mining and analysis on large structured and
unstructured data sets and transform such data into knowledge. - Implement algorithms for data mining and analysis and explain their time- and space-efficiency.
- Perform data acquisition and management for large and dynamic databases.
- Present and communicate knowledge derived from data in an unambiguous and convincing
manner.
The curriculum includes 49 hours of required courses that ensure students have skills in algorithms and statistical techniques for extracting information, including:
- Computer Science I, which introduce students to algorithms and algorithm analysis for efficient
computation - Programming for Scientists, which introduces students to computational data analysis using
languages such as Python and R - Statistical Methods I and II, which introduces students to the statistical fundamentals of data
analytics - Fundamentals of Data Science, which introduces techniques for collecting, analyzing, and
processing and generating big data sets with a parallel, distributed algorithm on a cluster - Praxis in Data Science, which teaches students how to use standard tools for data analysis
including data visualization and includes an applied learning component via a research project or
intern experience.