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 in the subject domain.
The rigorous curriculum in the Data Science program focuses on the fundamentals of applied mathematics, computer science, probability, statistics, optimization, and machine learning while incorporating real-world examples.
Program Educational Objectives
After completion of the B.S in Data Science, students will be able to:
- Provide effective solutions to complex problems, based on technical knowledge, methods, and practices of the dynamic data science field.
- Serve and work as effective and ethical data science professionals to contribute to their community and society.
- Assume positions of leadership in industry, academia, public service, and entrepreneurship.
For program purpose, objectives, and learning outcomes see the Department of Data Science and Business Analytics .
For an example degree plan see the Bachelor of Science, Data Science (Plan of Study) .
**Course offering frequency subject to change**
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