Dr. Yola Katsargyri

Assistant Professor

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Biography

Yola Katsargyri is an Assistant Professor in Clinical Data Sciences Operations at the Marshall School of Business, University of Southern California. She teaches undergraduate, MS, and MBA programs, blending her rich experience in academia and various industries including automotive, financial markets, digital advertising, education technology, and entertainment. Yola earned her PhD and Master’s degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT) and has accumulated over 10 years of experience in operations research and data science. She is credited as the primary inventor of three patents, reflecting her research interests in analytics, artificial intelligence, big data, customer satisfaction, data algorithms, deep learning, and dynamic programming, which she integrates into her teaching and research.

Research Interests

Patents

Apparatus method identifying digital gaming activity based anonymized keystroke data

11779838 2023-10-10

Non-transitory computer-readable storage medium with instructions executed by a processor to collect keystroke data.

Electric vehicle method battery set-point control

9545915 2017-01-17

Method utilizing data system segment for route and road grade analysis for battery control.

Hybrid electric vehicle method path dependent receding horizon control

8612077 2013-12-17

Path-dependent control method for hybrid electric vehicles using segmented routes.

Courses

DSO-435 Enterprise Data Architecture Management DSO-552 SQL Databases Business Analysts DSO-553 NoSQL Databases Big Data DSO-555 Advanced SQL Business Analysts BUAD-310 Applied Business Statistics

Requirements for University of Southern California

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
GRE General
Prerequisites
Bachelor's degree in Engineering, Math, or Hard Science
Application Checklist
  • Online application
  • Official transcripts
  • Personal Statement
  • Resume/CV
  • Letters of Recommendation (not required for MS CS, but allowed)
Specialization Notes

GRE is NOT required for Master's applicants for 2025-2026.