Data Science Foundations (Certificate)

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This online/on-campus program is well suited for working professionals who have some formal training in Computer Science and/or Statistics and wish to acquire a basic understanding of data science.   Applicants are expected to have an accredited Bachelor of Science degree in either a sciences or engineering discipline, Computer Science or Statistics.  A minimum GPA of 3.0, on a 4-point scale, is also expected.  The GRE is not required for admission.

Financial aid is not available through our program.  Interested applicants will need to review other means of assistance, if needed.

Certificate in Data Science Foundations

Required Courses6-9
Complete a minimum of two courses from "Core Courses" listed below
Elective Courses3-6
Complete minimum of one course from "Elective Courses" listed below
Total Hours12

Required Courses 

Select minimum of two courses from the following: 16-9
Design and Analysis Of Algorithms
Advanced Data Structures
Applied Statistical Methods I
Introduction to Statistical Learning

Elective Courses

Select minimum of one course from the following3-6
Automated Learning and Data Analysis 2
Database Management concepts and Systems
Special Topics In Computer Science (Topics include: Data Driven Business Intelligence; Graph Data Mining; Spatial and Temporal Data Mining)
Applied Bayesian Analysis



  • Tiffany M. Barnes
  • Donald L. Bitzer
  • Rada Yuryevna Chirkova
  • Jon Doyle
  • Rudra Dutta
  • Edward F. Gehringer
  • Xiaohui Gu
  • Christopher Graham Healey
  • James C. Lester II
  • Timothy James Menzies
  • Rainer Frank Mueller
  • Harilaos George Perros
  • Michael A. Rappa
  • Douglas S. Reeves
  • Gregg Evan Rothermel
  • Georgios N. Rouskas
  • Nagiza Faridovna Samatova
  • Carla Diane Savage
  • Xipeng Shen
  • Munindar P. Singh
  • Matthias F. M. Stallmann
  • Mladen Alan Vouk
  • Laurie A. Williams
  • Dennis R. Bahler
  • Min Chi
  • William H. Enck
  • Vincent W. Freeh
  • Zhishan Guo
  • Kook Han
  • Khaled Abdel Hamid Harfoush
  • Steffen Heber
  • Arnav Harish Jhala
  • Sandeep Kuttal
  • Edgar Lobaton
  • Noboru Matsuda
  • K. Anyanwu Ogan
  • David L. Roberts
  • Donald R. Sheehy
  • Sharma Valliyil Thankachan
  • Ranga Raju Vatsavai
  • Benjamin Allen Watson
  • Anupam Das
  • Guoliang Jin
  • Alexandros Kapravelos
  • Jung-Eun Kim
  • Jiajia Li
  • Xu Liu
  • Collin Francis Lynch
  • Christopher Robin Martens
  • John-Paul William Ore
  • Christopher Joseph Parnin
  • Thomason William Price
  • Asst Professor
  • Bradley Galloway Reaves
  • Alessandra Scafuro
  • Muhammad Shahzad
  • Kathryn Thomasset Stolee
  • Man Ki Yoon
  • Ruozhou Yu
  • Ignacio Xavier Dominguez
  • Jason Tyler King
  • Tzvetelina Battestilli
  • Jamie Allison Jennings
  • Jessica Young Schmidt
  • Bita Akram
  • Suzanne M. Balik
  • Tzvetelina Battestilli
  • Ignacio Xavier Dominguez
  • Patrick A. Dreher
  • Sarah Smith Heckman
  • Jamie Allison Jennings
  • Shuyin Jiao
  • Shuyin Jiao
  • Jason Tyler King
  • Jessica Young Schmidt
  • David Brian Sturgill
  • Ketchiozo Thierry Wandji
  • Wu-show Chou
  • Edward Willmore Davis Jr.
  • Robert Joseph Fornaro
  • Thomas Lynn Honeycutt
  • David Franklin McAllister
  • Woodrow Robbins
  • William James Stewart
  • Alan Lee Tharp
  • David J. Thuente

Adjunct professors

  • Robert Loftin
  • Bradford Wayne Mott

  • Adam Gaweda
  • Alexander Card
  • Sterling Mark Mcleod
  • Xiaorui Liu
  • Yuchen Liu