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Department of Computer Science


Welcome to USHER at Fresno State 

The Undergraduate ScHolar Education and Research (USHER) program offers scholarships to first-time freshman and transfer students to complete a B.S. degree in Computer Science at Fresno State. It offers a series of training to enhance students’ STEM, critical and algorithmic thinking in Computer Science. The program coordinates a number of university services to prepare students to become competitive research and/or industry workforce in Computer Science. 

Apply to USHER



Unique to our Program

  • 2- or 4-year Scholarships
  • Faculty and Peer Mentorship
  • STEM, Critical & Algorithmic Thinking
  • STEM Impact Identity Training
  • Research/Internship Opportunities
  • BS + MS Blended Program


  • Accepting Applications NOW! 
  • Annual $10K scholarship for two to four years
  • An optimized 4-year roadmap
  • STEM pathway and training
  • Computational and algorithmic thinking training
  • Faculty and peer mentorship
  • Research, internship and community opportunities
  • Career development and field trips to industry partners
  • Bridge to complete BS + MS degrees in 5 years

  • Underrepresented minority or female students
  • Incoming Computer Science freshman students
  • Potential for academic and professional success
  • Financial Need

  • Accepting applications NOW!

  • Anthony R. (Mentor: Dr. Liu and Nathan)
  • Ayanna A. (Mentor: Dr. Belman and Elizabeth)
  • Billy S. (Mentor: Dr. Belman and Nathan)
  • Emma V. (Mentor: Dr. Pirouz and Nathan)
  • Ethan L. (Mentor: Dr. Panagopoulos and Sarah)
  • Ivan C. (Mentor: Dr. Pirouz and Sarah)
  • Jaime R. (Mentor: Dr. Liu and Elizabeth)
  • Jazper M. (Mentor: Dr. Cecotti nd Sarah)
  • Lammar C. (Mentor: Dr. Wilson and Sarah)
  • Sandra S. D. (Mentor: Dr. Li and Nathan)
  • Tou L. (Mentor: Dr. Cecotti and Elizabeth)
  • Zhong V. (Mentor: Dr. Liu and Nathan)  

  • Contact Dr. Liu at to learn more.



USHER at California State University Fresno is funded through the National Science Foundation (NSF) under grant #DUE 2220938. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.