Mathematical Foundations for Data Science
Gain essential calculus and linear algebra skills in this 7-week, hands-on course designed to build confidence in solving real-world data problems.
The Mathematical Foundations for Data Science Certificate provides a structured introduction to these core concepts, focusing on their practical applications in data science, machine learning, and advanced technical studies.
What Will I learn?
- Learn key concepts from limits and derivatives to multivariable calculus.
- Master fundamental linear algebra topics including vectors, matrices, determinants, and eigenvalues.
- Explore practical applications in optimization, machine learning, and data representation.
Is This Program Right for You?
This program is ideal for:
- Professionals in fields like finance, engineering, and computer science seeking to expand their mathematical expertise.
- MS in Data Science and Artificial Intelligence applicants needing to meet calculus and linear algebra prerequisites.
- Students from non-mathematical backgrounds preparing for a graduate or PhD program, as well as those looking to strengthen their mathematical foundation for advanced coursework in data science and other adjacent fields.
Meet Your Instructor
Robert Clements is an assistant professor in the MS in Data Science & Artificial Intelligence program and the Director of the Center for AI and Data Ethics. He is interested in innovative and creative approaches to data science education and studying the societal impacts of AI and datafication.
Course Information
Dates: March 31 – May 12, 2027
Schedule: Tuesdays, 6:00pm – 9:00pm (PT)
Meet your Instructor: Robert Clements
Cost: $1195 - $795 USF Alumni - $395 USF Students
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Master practical skills by working on real-world projects, engaging in interactive instruction, and using state-of-the-art tools and techniques trusted by leading professionals.