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.
According to the U.S. Bureau of Labor Statistics (BLS) Data, the employment of data scientists is projected to grow 35 percent from 2022 to 2032, much faster than the average for all occupations.
About 17,700 openings for data scientists are projected each year, on average, over the decade. Many of those openings are expected to result from the need to replace workers who transfer to different occupations or exit the labor force, such as to retire.
The BLS reports the median annual salary for data scientists was $103,500 in May 2022. The median annual wage for data scientists was $103,500 in May 2022. The median wage is the wage at which half the workers in an occupation earned more than that amount and half earned less. The lowest 10 percent earned less than $58,510, and the highest 10 percent earned more than $174,790.
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 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.
The BS in Data Science Program Educational Objectives (PEOs) are:
The PEOs can be found in our Program Catalog online and on the Bachelor of Science in Data Science program page.
Student outcomes describe what students are expected to know and be able to do by the time of graduation. Upon completion of the Data Science program, graduates will have the ability to
June 30, 2024
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