About

Data science is the study of the collection, management, and analysis of data to extract knowledge. It is a multidisciplinary field with core components from Computer Science and Statistics and applications in a variety of empirical disciplines. The Data Science Center at UCR was established to inspire, enable and support cross-disciplinary research and education in Data Science. Located in the Multidisciplinary Research Building (MRB) the Center includes faculty from various departments and colleges across UCR.

Academics

UCR offers a Data Science Undergraduate Major in the Department of Computer Science and Engineering and in the Department of Statistics. The curriculum draws from both the Computer Science and Statistics disciplines and includes data-focused breadth courses in other disciplines including Biology, Business, Economics, Electrical Engineering, and Earth Sciences.

Students from other disciplines can get a Minor in Data Science .

UCR also offers a Master of Science in Computational Data Science. This in-person MS program is a STEM degree offered through a collaboration between the Department of Computer Science and Engineering and the Department of Electrical and Computer Engineering. Its focus is on the computational foundations of Data Science, including Data Mining, Artificial Intelligence, Deep Learning, Natural Language Processing, Big Data, Database Management etc.

Other related programs are the online Master of Science in Engineering with focus in Data Science, offered by the Bourns College of Engineering and the Master of Science in Business Analytics jointly offered by the Department of Statistics and the School of Business.

Research

Nowadays, research groups in areas like biology, engineering, physics, material science, astronomy, business, economics, sociology, and political science (to name a few), generate gigabytes to exabytes of data. Data science researchers at UCR work to make sense of these data banks in novel ways by applying domain knowledge and finding statistically and computationally efficient solutions.