To be considered for the Data Science Summer Institute Program, you should have the following qualifications:

  • Actively pursuing a degree in applied mathematics, computer science, computer vision, machine learning, statistics, or a similar field
  • Desire to understand and explore why certain algorithms are well-suited to specific applications
  • Desire to participate in individual or team efforts including the LLNL DSSI Challenge Problems
  • Desire to improve skills in public presentation of scientific results by giving presentations and participating in the LLNL student poster competition
  • Eagerness to obtain an understanding of new application areas
  • Effective programming skills in a high-level language such as R, Matlab, or Python, Distributed/parallel computing and experience with C/C++, Java a plus.
  • Exposure through coursework to some of the following topics:
    • Statistical modeling and data analysis
    • Bayesian and frequentist statistical frameworks
    • Inverse problems, uncertainty quantification
    • Machine learning / pattern recognition
    • Computer vision
    • Multimedia signal and video recognition
    • Combinatorics and algorithms
    • Graph modeling and social network analysis
    • Modeling and Simulation


A three-day competitive exercise called "Tracer Fire Competition" is one of the highlights of the summer.