Data Sciences in Aerospace Certificate Program

This unique certificate program addresses the full range of analytical and computational thinking, data engineering, and technical skills required to generate effective analytics and insights for applied engineering and operations within the aerospace enterprise. 

This course focuses on the data science of enabling critical engineering capabilities, such as material and product Research, Development, Testing & Evaluation (RDT&E), engineering simulations, digital thread, and digital twins. You will then expand your learning in support of connected products and use diagnostics, technology and operations administration, and security.

Custom Program Benefits

Building upon your existing data science skills for capturing, processing, analyzing, and maintaining data, you become an agent for innovation by applying those skills in these new domains. You must engage and communicate in this key role through the right visualizations, reports, and stories. This course will help you become a valued team member who can traverse engineering, operations, and IT with a common language and understanding.

Your team will learn to:

• Recognize capability implications for data structures, databases, programming
• Understand relevant statistics and analyses and how they are supported
• Develop approaches for data mining, machine learning, and algorithm development
• Build models and techniques for data wrangling and exploration
• Apply tools for large-scale, multi-media analysis
• Visualize large data sets and dynamic flows
• Understand how advanced digital engineering tools (digital twins) and methods, such as Model-Based Systems Engineering, create implications for capital investment, computational power, and crucial resources

Who Should Attend

Data engineers, data scientists, applied mathematicians, data science product owners, business intelligence analysts, researchers and engineers from across disciplines, operations analysts, and technology team leads.