Carrie Rider '15, '16, MS in data analytics & BS in math and statistics, and in social sciences
MS in Data Analytics
The 36 credits of the MS degree program consist of six 3-credit core graduate courses, four 3-credit graduate elective courses, and one 6-credit capstone course based on a sponsored project. The program is generally three semesters for full-time residential students. Online students can build part-time or full-time schedules that work for them. Part-time students generally finish the program in about 2 years.
The Data Analytics program is offered both online and on-site for maximum flexibility. Take courses as a residential student in a traditional, on-site classroom setting at our main campus in Potsdam, NY. Or, keep working and earn your degree online with classes available anywhere! Online class delivery is a mix of both synchronous (students attend class online together at the same time) and asychronous (attend that week's class on your own schedule).
Online or on-site, your courses are taught by the same professors. They give you personal attention to help you learn as an individual and to prepare you for success in today’s intensely competitive market.
Demand for data science and analytics professionals in the U.S. is quickly outgrowing the supply of such talent. The number of data science and analytics job listings is expected to increase by 364,000 openings to 2,720,000 by 2020, according to a 2017 report published by IBM.
General Admission Requirements
Admission is based on your drive, academics, references, test performance and how you'll fit into the program.
An application includes
- transcripts from your undergraduate institution(s)
- GMAT/GRE scores (may not be needed for applicants with work experience, graduate degrees or other practical/applied skill sets)
- essays and letters of recommendation
- English Proficiency Testing: TOEFL of 80 or higher; or IELTS of 6.5 or higher
- certificate of finance to receive an I-20