S-STEM Program: Preparation of Data-Driven Mathematical Scientists for the Workforce

The Division of Undergraduate Education of the National Science Foundation (NSF) funds this project with their scholarship program for Science, Technology, Engineering and Mathematics (S-STEM). The award number for this NSF grant is DUE-1356397.  The award starts August 1, 2014 and ends July 31, 2019.

This program will provide three years of support for three cohorts of ten students each year. Students will either major in the Mathematical Sciences with a Concentration in Computational/Applied Mathematics, or Statistics; or receive a minor in the mathematical sciences, with a big data (data-science) focus, as they complete their major requirements in one of eight sister departments. Students will typically enter the program as rising sophomores.

Moreover, the program will start with an immersion in computational science, both theoretical and applied. From the fall, and for the next three years, students will attend a weekly seminar that alternates between mini-workshops, visiting speakers, career planning, team building, and a variety of other activities. Students will be expected to graduate after three years of support.

Program in a Nutshell

  • $622,498 S-STEM grant from NSF to ETSU. 
  • 30 scholarships, 10 each year starting in 2014 through 2016.
  • 3 years of scholarship, $5500 each year, total: $16,500.
  • Can be used on top of Hope, Honors and other scholarships -- but some financial need must be evident.
  • Must have had Calculus I (MATH 1910) with good scores or AP Calculus.
  • Must major in mathematics under the Statistics or Computational/Applied concentrations.
  • May major in a STEM field with a tailored made minor in mathematics or statistics.
  • Existing students such as rising sophomores who have not had too much mathematics coursework are welcome to apply.
  • Must be willing to commit to a career or graduate work that uses "Big Data" (Data Science).
  • At least 3.3 GPA.
  • Must attend weekly seminar.
  • Must complete computing proficiencies during the summer.
  • Must participate in a datathon, an intense workshop requiring participants to turn information into knowledge.  
  • Must attend organizational meeting on Friday, May 8, 2015.


Co-Principal Investigators Team

Ariel Cintron-Arias, Assistant Professor, Department of Mathematics and Statistics, Institute for Quantitative Biology

Anant Godbole, Professor, Department of Mathematics and Statistics, Center of Excellence in Mathematics and Science Education

Jeff Knisley, Professor, Department of Mathematics and Statistics, Institute for Quantitative Biology

Edith Seier, Professor, Department of Mathematics and Statistics

Ramona Williams, Vice Provost for Enrollment Services 



Recipients must be citizens of the United States, Nationals of the United States (as defined in Section 101 (a) of the Immigration and Nationality Act), aliens admitted as refugees under Section 207 of the Immigration and Nationality Act, or aliens lawfully admitted to the United States for permanent residence.  International students are not eligible for this program.

Female students and members of underrepresented groups (including but not limited to gender, ethnicity or race, first-generation, veteran status) are strongly encouraged to apply.

Application Process

Applications will begin to be reviewed by March 27, 2015.  No applications will be considered after April 17, 2015.

  1. One recommendation in electronic-form is required.  The recommender must have an active email address.  A request will be sent my email and the recommender will follow a link and complete an online recommendation form.  The applicant will provide the recommender's email address in the application form.
  2. Complete online application form. You will be required to login with your goldmail credentials (or you must have a valid gmail or google account). S-Stem Application   

Contact Person

Feel free to send your questions by email, directed to Dr. Ariel Cintron-Arias <cintronarias@etsu.edu>


Group op S-STEM students

Group of S-STEM students jumping

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