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The Graduate Certificate in Data Analytics is designed to provide a skill-set to engineers, analysts and managers for data-driven business, technological, organizational, and managerial decision-making. The certificate focuses on methodologies and tools to implement efficient storage, retrieval, and quantitative analysis of data.
All course requirements can be completed online, live (usually between 5:30 and 8:15 p.m. for 15 weeks) or a combination of the two. All classes are captured on our media servers so if you cannot make it to a particular live lecture because of work or family obligations, you can watch a video recording later.
All classes can be applied toward the MSCIS Program upon successful completion.
Choose 3 courses from the following list:
ECIS/ENGM 607. OPERATIONS RESEARCH
Models and methods of operations research in solving engineering and management problems. Includes linear models, linear programming, duality, post optimality and network analysis and simulation. Three credits
ECIS 637. DATA BASE AND BIG DATA MANAGEMENT
Survey of current database approaches and systems. Topics include DBMS types; architecture; introduction to SQL; query optimization. DB management project required. Three credits
ECIS 638. INTRODUCTION TO DATA SCIENCE
Practical tools used to analyze and interpret data. A review of probability, statistics and software programming. Data pre-processing techniques, spectral analysis techniques, supervised learning techniques in classification and regression, unsupervised learning techniques in clustering and visualization techniques. Three credits
ECIS 639. SOFTWARE PROGRAMMING FOR ENGINEERS|
The course introduces concepts of python programming for engineering and IT applications. Topics include variables, conditionals and loops, functions, files and input/output, and object oriented techniques. Three credit hours