Syracuse University
MS in Applied Data Science
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
Compared with 819 AI programs in our database: Syracuse iSchool's MS in Applied Data Science provides practical data engineering and machine learning training. It is one of the 54% of programs in our database offered fully or partly online.
Admission Snapshot
About This Program
Syracuse iSchool's MS in Applied Data Science provides practical data engineering and machine learning training. Strong Northeast analytics market connections and flexible fully-online format popular among working professionals. Coursework concentrates on Data Analytics and Applied Data Science.
Syracuse University targets the technology sector with this program.
Career Outcomes
The MS in Applied Data Science at Syracuse University is built to move graduates into applied AI and data roles in technology. Its focus on Data Analytics and Applied Data Science maps directly to how employers in technology screen for specialized skills rather than generic degrees.
Admissions
Admission to Syracuse University's MS in Applied Data Science generally expects a completed bachelor's degree. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.
Frequently Asked Questions
What distinguishes the MS in Applied Data Science at Syracuse University?
Syracuse iSchool's MS in Applied Data Science provides practical data engineering and machine learning training. Strong Northeast analytics market connections and flexible fully-online format popular among working professionals.
Does Syracuse University offer the MS in Applied Data Science in an online format?
Yes β Syracuse University lists this program as online. Confirm on-campus residency requirements, if any, on the official program page.
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