Note to Students: The following listing represents those courses that are in the active rotation for each department, i.e., have been offered in the past five years. Some departments have additional courses offered more rarely but still available – to find the complete list of all official courses for a department, please use the “Course Catalogue Search” function in Self-Service Banner
DASC 6010Data Mining(3 Credits)
DASC 6811Statistics for Data Science(3 Credits)
DASC 6911Big Data Analytics(3 Credits)
This course is a graduate tour of techniques for processing big data that aims at future Data Scientists. It covers algorithms and software frameworks that are used for automating data analysis of big data. The course topics include Python for data science, big data stack, data analytics architecture, MapReduce, Hadoop and case studies such as recommendation engines. The course teaches practical skills in implementing big data analytics using industry-standard software, such as Python and MapReduce, and cloud computing services.
DASC 7000Data Visualization(3 Credits)
DASC 7111Text Mining(3 Credits)
DASC 7211Network Analysis(3 Credits)
DASC 7521Operations Research(3 Credits)
DASC 8011Intern in Visual Analytics(3 Credits)
DASC 8211Machine Learning(3 Credits)
DASC 8212Deep Learning(3 Credits)
DASC 8222Data Engineering(3 Credits)
The data engineering course offers a blend of theory, case studies, and hands-on experiences. At the end of the course, students will be able to build a data warehouse and data lake, automate date pipelines, work with massive datasets, and understand the concepts of a major platform for cloud computing, such a Amazon Wed Services (AWS), its terminologies, and benefits.
DASC 8803ST - Adv Machine Learning(3 Credits)
DASC 8813MS in Data Science(3 Credits)
DASC 9311Data Science Project(3 Credits)
DASC 9413M.S. Thesis(3 Credits)
MATH 6611Operations Research(3 Credits)
MATH 6811Statistics for Data Science(3 Credits)
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