At Bucknell, you're given the opportunity to dig deep into some of the most long-standing and complex data science topics in existence or take on real-world data to help companies and organizations ...

Domain-specific data management and analysis, such as those in online social networks, scientific discovery, business intelligence, health informatics, urban computing, are also covered. Covers ...

You will review the foundational mathematics that are critical in data science. Topics include algebra, calculus, linear algebra, and some pertinent numerical analysis. This specialization is also an ...

This course focuses on select problems in data science. Lectures will be complemented with exercises and projects in open source framework R. Prior knowledge of classification techniques and R is ...

Modern datasets across a variety of application domains in machine learning, genomics, social network analysis etc. are massive and high-dimensional. How can we design algorithms that allow us to ...

Data science prepares you for careers that explore patterns in large data sets and identify potential trends and insights. The program teaches skills in programing, modeling, machine learning, data ...

The topic may be identified from a list supplied by the department or may be proposed by you. The topic will normally relate to a specific data source or sources and will require the use of data ...

students learn statistics by doing—class time emphasizes problem-solving and hands-on contact with data. Many courses employ student-driven projects that allow students to pursue their interest in ...