Engineering
Architectural History: Political, Social, and Cultural Histories of Architecture (Stackable Graduate Certificate)
University of Texas at Austin, United States
- Degree
- Postgraduate
Engineering
University of Texas at Austin, United States
The stackable graduate certificate in Geological Sciences: Machine Learning and Data Analytics (ML/DA) provides an organized framework to train students to be world leaders at the forefront of earth and data science. This stackable certificate program is designed primarily for g eoscience graduate students and working geoscientists from industry, academia, and government organizations who desire additional expertise in modern tools of data analytics and machine learning. Geoscientists with their domain expertise and required training in ML/DA are better placed to make use of these advanced techniques for geoscientific problem solving.
Faculty: Jackson School of Geosciences | Duration: 12 semester credit hours | Study mode: full-time | Location: Austin, TX, United States
The programme requires 12 semester credit hours. See the Graduate Stackable Certificate section of the catalog for additional requirements and policy related to graduate stackable certificates.
Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.
Duration: 12 semester credit hours
Apply through the official page: https://gradschool.utexas.edu/admissions/apply
Engineering
University of Texas at Austin, United States
Engineering
University of Texas at Austin, United States
Engineering
University of Texas at Austin, United States
Engineering
University of Texas at Austin, United States
Engineering
University of Texas at Austin, United States
Engineering
University of Texas at Austin, United States
Engineering
University of Texas at Austin, United States
Engineering
University of Texas at Austin, United States
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