Data Science Foundations (Certificate)
Apply NowThis 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.
For additional information, visit our Certificate Program in Data Science Foundations page.
Certificate in Data Science Foundations
| Code | Title | Hours |
|---|---|---|
| Required Courses | 6-9 | |
Complete a minimum of two courses from "Core Courses" listed below | ||
| Elective Courses | 3-6 | |
Complete minimum of one course from "Elective Courses" listed below | ||
| Total Hours | 12 | |
Required Courses
| Code | Title | Hours |
|---|---|---|
| Select minimum of two courses from the following: 1 | 6-9 | |
| Design and Analysis Of Algorithms | ||
| Advanced Data Structures | ||
| Applied Statistical Methods I | ||
| Introduction to Statistical Learning | ||
Elective Courses
| Code | Title | Hours |
|---|---|---|
| Select minimum of one course from the following | 3-6 | |
| 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 | ||
| 1 | Students must take at least one ST and one CSC course |
| 2 | Credit cannot be given for both CSC 522 Automated Learning and Data Analysis and ST 563 Introduction to Statistical Learning |
Faculty
Full Professors
- 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
Associate Professors
- Dennis R. Bahler
- Min Chi
- William H. Enck
- Vincent W. Freeh
- Khaled Abdel Hamid Harfoush
- Steffen Heber
- Arnav Harish Jhala
- Noboru Matsuda
- K. Anyanwu Ogan
- David L. Roberts
- Donald R. Sheehy
- Ranga Raju Vatsavai
- Benjamin Allen Watson
Assistant Professors
- Anupam Das
- Guoliang Jin
- Alexandros Kapravelos
- Xu Liu
- Collin Francis Lynch
- Christopher Robin Martens
- John-Paul William Ore
- Christopher Joseph Parnin
- Thomason William Price
- Bradley Galloway Reaves
- Alessandra Scafuro
- Muhammad Shahzad
- Kathryn Thomasset Stolee
- Ruozhou Yu
Practice/Research/Teaching Professors
- Bita Akram
- Suzanne M. Balik
- Tzvetelina Battestilli
- Ignacio Xavier Dominguez
- Patrick A. Dreher
- Sarah Smith Heckman
- Jamie Allison Jennings
- Shuyin Jiao
- Jason Tyler King
- Jessica Young Schmidt
- David Brian Sturgill
Lecturers
- Ketchiozo Thierry Wandji
Emeritus Faculty
- 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 professor
- Robert Loftin