Data Science is an interdisciplinary field and incorporates tools and techniques from statistics, computer science, and business. We focus on real-world applications, providing students with hands-on experience analyzing large datasets and developing data solutions to solve problems in healthcare, transportation, finance, and other industries. Our rigorous yet flexible curriculum, experienced faculty, and access to massive datasets prepare students with the skills and experience to step into data science roles after graduating.
The B.S. in Data Science combines applied mathematics, computer science, statistics, optimization, data mining, and machine learning to give you a broad and much desired skill set. You will gain hands-on experience with tools such as Excel, Python, R, SQL Databases, and Tableau, and be prepared for emerging careers in Data Science and future advanced study.
Core courses include data visualization, data mining, machine learning, statistics, and database systems. Students learn to clean, integrate, and analyze complex data to gain actionable insights and tell data-driven stories. Elective tracks allow students to specialize in fields like Big Data Analytics, Econometrics, or Autonomous Systems. In the final capstone course, students apply their skills to solve a real challenge for a company or nonprofit. Recent projects include optimizing supply chain management for a retailer, identifying risk factors for hospital readmissions, and designing a recommendation system for an online education platform.
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.
Upon completion of the Data Science degree, students will be able to:
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