Project managers and professionals in engineering and software development need to perform data analytics on a daily basis. This course introduces tools a practices for students and professionals alike.
Project managers and professionals in engineering and software development need to perform data analytics on a daily basis. This course introduces tools a practices for students and professionals alike.
Identify salient aspects of data development systems in the project environment
Descriptive analyticsInterpret project performance data using descriptive analytics
Bayesian analytics and predictive analysisAnalyze project data using Bayesian analytics and predictive analysis
Decision engineeringRelate decision engineering to prescriptive analysis in project management, bidding, and other operational tasks
Projects, programs, and portfoliosOrganize project data analytics programs for unique projects, programs, and portfolios
*All course content, including schedule, topics, and books are subject to change semester-to-semester. Course costs are dependent on students' individual situations, including but not limited to, online vs on-campus enrollment, in-state vs out-of-state enrollment, and scholarships.
Not all books on this page may be required readings and additional readings may be assigned. Please check the UMD Schedule of Classes for most up to date semester offerings. Instructors give students specific semester details once they are enrolled.