The JSU Data Science Jump-Start Project

NSF LogoAbout the NSF S-STEM Program

The National Science Foundation (NSF) sponsors scholarships in Science, Technology, Engineering, and Mathematics (STEM) in recognition that those with credentials in these disciplines can help meet a strategic national need for the economic competitiveness and national security of the United States. Scholars must be domestic low-income students with academic ability who are enrolled in a STEM program that includes a data science component. Demand for data scientists and analysts is increasing rapidly with career options that are exciting and lucrative.

JSU has been awarded a $1.5 million grant that will be administered over 6 years to provide scholarships to eligible students. In addition, funding is available for students to attend conferences, pursue internships, and travel for STEM industry visits.

The program began in Fall 2022. Eligible students may receive $5,000 per semester for up to 8 semesters if the student is enrolled full-time and maintains good academic standing.

Eligibility Requirements

  • Hold US Citizenship or national, refugee, or permanent resident status
  • Have financial need
  • Demonstrate academic ability
  • Declare a STEM major and a data science minor or concentration

Application Instructions

  • Complete the JSU S-STEM Application
  • Submit a FAFSA to JSU for verification of financial need
  • Provide a letter of reference

Applicants will be reviewed and submitted for approval to a Selection Committee.

Contact Information

For more information, contact the Project Director, Dr. Jan Case (jcase@jsu.edu)

Fall 2022 Data Science Scholars

  • Micah Smith
  • Joshua Smith
  • Ethan St. John
  • Chandler Johnson
  • Jakolbe Brewster
  • Ryan Eubanks

Spring 2023 Data Science Scholars

  • Seth Elkins
  • Christopher Adkins
  • Haley Williams
  • Tybrea Baker
  • Kaylin Taylor
  • James Nicholas Clifton
  • Tristan Wells
  • Devian Wilkerson
  • Ace Arnold

Fall 2023 Data Science Scholars

  • Norah Martin
  • Rhanda Ragains
  • Caleb Pack
  • Shelby Boswell
  • Emily Tibbs
  • Daniel Holcombe
  • Nikolas Wynn
  • Jakob Skipper
  • Mauricio Zurita-Cortes

Spring 2024 Data Science Scholars

  • James Nichols
  • Fredrina Williams