The Certificate of Advanced Study (CAS) in Data Science at the Syracuse University School of Information Studies (iSchool) is a 15-credit graduate-level certificate designed for students currently pursuing another graduate degree or as post-baccalaureate work. Data Science focuses on teaching you specializations in data analytics, data storage and management, data visualization and general systems management, but the curriculum can be tailored to fit your education or career goals.
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Available On-campus | Online | Full-time | Part-time
Data scientists are crucial to solving big data problems in areas as diverse as clinical research, defense intelligence, customer behavior, medical diagnosis, and risk management. The CAS in Data Science at the iSchool was the first New York State-approved certificate of its kind, and gives a competitive edge to students and professionals alike by equipping you with a mixture of the technical and theoretical skills. As the field grows, Data Science graduates are shaping the first wave of data science practices and standards.
Courses & Curriculum
Overview (15 total credits)
6 credits core courses
9 credits elective courses
View Curriculum in Course Catalog
Online or On Campus
The CAS in Data Science is offered online, on campus, full-time, and part-time - or any mixture thereof.
Application requirements can be found on our application checklist.
The major components of the CAS application are: the online application, academic transcripts, personal statement, resume or CV, and the $75 non-refundable application fee.
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CAS in Data Science candidates may apply year-round for enrollment starting in any term (summer, fall, and spring).
See our Admissions page for specific application deadlines.
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You can apply to the CAS in Data Science through our online application.
For more admissions and curriculum information, please use our online information request form.
For more information about our graduation rates, the median debt of students who completed the program, and other important information,
please click here.