PhD Program in Data Science in North America

Find PhD Programs in Data Science in North America 2019

A PhD, also known as a Doctor of Philosophy degree, is a doctorate awarded by a university to the academic who has met all necessary qualifications and can now be considered a doctor in his or her academic field.

Data science is a field of work in which professionals seek to extract meaningful information from large amounts of complex data in the search for solutions to business challenges. Coursework may focus on mathematics, statistics, programming, and the development of analytic skills.

From indigenous civilizations to modern day empires, North America has plenty of hands-on educational opportunities to offer scholars. Filled with a range of distinct cultures, students can educate themselves in well-rounded way.

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Doctor of Philosophy in Analytics and Data Science (Ph.D.)

Kennesaw State University
Campus Full time 4 years September 2019 USA Kennesaw

Our Ph.D. program is traditional and innovative - applied and theoretical, a Ph.D. for the 21st century. Real-world application, with real-world data, drives our student's learning process. Take a glimpse at some of the exciting findings our students have uncovered as they apply their learning. [+]

Doctor of Philosophy (Ph.D.) in Analytics and Data Science

Kennesaw State University's Ph.D. in Analytics and Data Science is an advanced degree which has been developed to meet the market demand for Data Scientists.

This degree will train individuals to translate large, structured and unstructured, complex data sets into information to improve decision making. This curriculum includes a heavy emphasis on programming, data mining, statistical modeling, and the mathematical foundations to support these concepts. Importantly, the program also emphasizes communication skills - both oral and written - as well as application and tying results to business and research problems.

Because this degree is a Ph.D., it creates flexibility. Graduates can either pursue a position in the private or public sector as a "practicing" Data Scientist - where continued demand is expected to greatly outpace the supply - or pursue a position within academia, where they would be uniquely qualified to teach these skills to the next generation.... [-]