Master of Science in Analytics
Reports & Statistics
The Master of Science in Analytics (MSA) program at the Georgia Institute of Technology represents a diverse cohort with a wide array of academic backgrounds and global representation. This blend of skills and experience fosters a collaborative, unique environment for students to expand their expertise in the analytical world.
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2026 Student Body Profile
Class Size
Class Size
85
Students
Student Demographics
Student Demographics Data
- 64% Male
- 36% Female
- 32% International
- 62% US Citizen
- 6% Permanent Resident
Academic Backgrounds
*Totaling over 100% due to candidates in multiple categories
27%
Computer Science / Software / IT
20%
Data Science & AI
16%
Business Administration
16%
Mathematics & Statistics
15%
Finance/Economics
14%
Industrial & Systems Engineering
12%
Other Engineering
7%
Sciences, Health & Sustainability
5%
Humanities, Arts & Social Sciences
2%
Language
Countries Represented
- Canada
- China
- Colombia
- France
- India
- Mexico
- Nepal
- Nigeria
- Pakistan
- Singapore
- South Korea
- Sri Lanka
- Taiwan
- Turkey
- United States
- Vietnam
Work Experience
Work Experience Data
- None: 14
- ≥1 Internship: 39%
- 1-2 Years: 17%
- 3-4 Years: 12%
- 5-9 Years: 2%
- 10+ Years: 1%
MSA Alumni Careers
Xiaochen Zhang (’16)
Director, Data Science and Analytics, Razorfish
Eric O'Connor (’19)
Operations Research Analyst, U.S. Army
Anna Riehle (’21)
Principal Data Analyst, Capital One
Gautam Krishna (’15)
Director of AI Products, Cox Communications
Shannon Kehoe (’19)
Head of Innovation, QuantPi
Elizabeth Stanford (’19)
VP of Data, PandaDoc
Chris Mast (’17)
CEO & Founder, Lean Basketball Analytics
Gabriella Runnels (’17)
Principal Data Scientist, American Eagle Outfitters