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Materials Data Sciences and Informatics

This course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science. Attention is drawn to specific opportunities afforded by this new field in accelerating materials development and deployment efforts. A particular emphasis is placed on materials exhibiting hierarchical internal structures spanning multiple length/structure scales and the impediments involved in establishing invertible process-structure-property (PSP) linkages for these materials. More specifically, it is argued that modern data sciences (including advanced statistics, dimensionality reduction, and formulation of metamodels) and innovative cyberinfrastructure tools (including integration platforms, databases, and customized tools for enhancement of collaborations among cross-disciplinary team members) are likely to play a critical and pivotal role in addressing the above challenges.

Created by Georgia Institute of Technology


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What you’ll learn


Through this learning opportunity you may improve the compentencies sought from companies in 2021. The most in demand technique within the learning resource that is commonly mentioned by organizations is Data Analysis. You will also find out about Collaboration Skills, a trait frequently requested in job postings.

Who will benefit?


Evaluating material from this learning opportunity with nearly 10,000 data-related job postings, we determine that those interested in Data Scientist roles would benefit the most.