Provides students a strong understanding of basic and advanced methods in statistical inference, machine learning, data visualization, data mining, and big data, all of which are essential skills for a high-performing data scientist.

Emphasizes essential skills for data engineers to design their data infrastructure and apply relevant tools and techniques on their data assets. Software tools such as SQL, MongoDB, Hadoop, Hive, Pig and UML are used extensively in the program.

Offers students an introduction to data mining with an emphasis on large-scale databases as a source of knowledge generation and competitive advantage. Instruction includes formal lectures as well as hands-on projects involving techniques to extract, report and visualize information from data.

Enables data analysts and business intelligence professionals to master the principles of visualization techniques for communicating insights from complex real-world data. Students work with tools such as Tableau, Python, R and Javascript.

Our faculty are distinguished experts, teaching a rigorous and modern curriculum that brings real-world value to our students.

Our courses provide a world-class, practice-based, data-driven education that translates immediately into expertise you can take to the workplace.