Master of Science in Data Science and Analytics
We have two types of successful candidates. The first comes from a technical background: an undergraduate degree in a technical discipline such as mathematics, computer science, engineering or economics. The second are those without STEM degrees: either career changers or those working in data-science related jobs with professional experience. We offer foundational courses in the summer for these students, and also offer a part-time option for those who work full time.
Yes, we offer a Part-Time option that allows you to take up to two classes per semester. We do not recommend more than that due to the additional time outside of class for Sprint Projects and Boot Camps.
The M.S. in Data Science and Analytics program requires students to have foundational coursework in mathematics and it is also useful to have some experience with computer programming. We offer foundational courses in the summer prior to the start of the program for applicants who lack these prerequisites.
Prior programming experience is not a requirement for admission. We offer foundational courses in the summer prior to the start of the program for applicants without prior programming experience. Upon graduation, students will have developed strong programming skills in various languages including Python, R, SAS, Tableau, Hadoop, C++, VBA, Matlab and others.
Yes, most students complete their internship during the summer semester.
Our acceptance rate is roughly 30%. Out of more than 100 applications last fall, we accepted 32 students.
Tuition is $39,000 for in-state students and $45,000 for out-of-state students. Taking additional classes outside the required coursework will incur an additional cost.
For information on off-campus housing, please visit the following link: https://deanofstudents.gsu.edu/student-assistance/off-campus-living/
Most of the students in the program live in the Buckhead or Lindbergh areas since it is close to the campus and the Marta train.
Atlanta, GA: 30 students
Boston, MA: 1 student
New York, NY: 1 student
Philadelphia, PA: 1 student
Kansas City, KS: 1 student
Both merit-based graduate research assistantships (GRA) and general GRA positions are available. If you are interested in pursuing a GRA position, we strongly encourage you to apply to the program as early as possible. Per our rolling admissions process, an early application plus a high GPA and GMAT/GRE scores will improve your chances.
The program begins in Fall every year.
For students in the Full-Time cohort, classes run from 2:00-4:30PM. For students in our Part-Time cohort, classes run from 7:15-9:45PM.
Data Scientist, Data Analyst and Business Intelligence Analyst are the most common job titles.
Since the inception of the program, 97% of our graduates have found employment.