6 Courses Required

Additional Details

Target Audience

  • Software engineers building AI-powered applications
  • Data analysts and scientists working with large-scale datasets
  • Engineers applying computational methods to complex systems
  • Web and frontend developers integrating machine learning features
  • Computational biologists and scientific researchers modeling real-world phenomena Investment managers leveraging quantitative analysis
  • Game developers optimizing physics engines and AI behaviors
  • Anyone in a technical role seeking to strengthen their mathematical foundation for AI and machine learning

Accreditation

  • Applied Mathematics for AI and Data Science Certificate from Cornell Ann S. Bowers College of Computing and Information Science
  • 120 Professional Development Hours (12 CEUs)

Certificate Description

Behind every accurate prediction, optimized model, and scalable AI system is sophisticated mathematical computation, and to excel in AI and data science, you need to know how it works. This certificate program bridges the gap between theoretical math and the computational techniques that power modern AI systems. You will master the numerical methods, linear algebra, optimization algorithms, and statistical foundations that data scientists and machine learning engineers use daily to build intelligent applications.

This certificate program equips you to solve complex numerical problems using advanced mathematical and computational techniques essential for AI and data science. You will start by understanding how computers handle calculations and analyze sources of error, then you’ll progress through a curriculum designed for modern computational challenges. You'll master approximation methods, implement efficient matrix operations, solve large systems of equations, and model uncertainty in data.

The program culminates in a hands-on Python course where you will build and deploy computational solutions. Throughout, you'll apply these skills to real-world problems in machine learning, data science, and scientific research, bridging the gap between mathematical theory and practical implementation.

The courses in this certificate program are required to be completed in the order that they appear.

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