Data Science, Analytics and Engineering (Computational Mathematics and Data)
Arizona State University Campus Immersion
Data scientist is consistently ranked among the top jobs in the U. S. , and there is an increasing need for applied mathematicians to make use of data science tools such as statistics, machine learning, artificial neural networks and artificial intelligence. Beyond the application of these tools, the fast-moving field of data science requires an understanding of the mathematical background of the algorithms behind these tools and the mathematical concepts that make these tools useful.
Credits
30 credits
Format
In-Person
Credentials this program stacks toward
No program pathways.
Detailed information about this program
No detailed information available.
What you need to earn this credential
No requirements listed.
Eligible funding programs
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Scholarships
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