With the exponential growth of Big Data over the past few years, the need for Data Scientists becomes more and more pronounced and urgent.
The Master’s in Data Science (Professional Hybrid) develops professional workers for advancement in Data Science roles across all sectors of industry. It is one of the fastest growing employment sectors in the world with Wikibon estimating that worldwide Big Data market revenues for software and services will increase to $92.2B by 2026.
At A Glance
Master of Science in Data Science
Hybrid with weekend residencies at our Jersey City Campus
Two courses (six credits) per trimester; three credits per trimester will be delivered fully online and three credits will be taken over two weekends at our Jersey City campus
36 credits (20 months)
Intakes: September, February and June
$28,000 full program (due pro rata by term)
EARNING WHILE LEARNING
Experiential learning is required throughout the program. This requirement may be satisfied each term through employment in a field directly related to the program (CPT) or through a research practicum ($495 fee per term applies to the practicum).
Between residency sessions, course material and academic support will be available online. Instructor office hours (virtual) will be available throughout the trimester.
F-1 Students are eligible for CPT throughout the program (see CPT FAQ).
Residency sessions are mandatory and will be held over two weekends each trimester. Any F-1 student who fails to attend any residency session will be counted as absent for the entire trimester and will have their SEVIS record terminated. Additional academic policies shall also apply to each F-1 student’s online course progress, which will be strictly enforced.
Job opportunities for Data Scientists and Advanced Analysts have been predicted to grow 28% between 2015-2020. Finance and Insurance, Professional Services, and IT are the sectors leading demand. The Quant Crunch report highlights the demand for this ‘new breed of professional skills’ and how the demand for well qualified Data Scientists will continue to grow.