Master Of Science In Engineering Data Science in University of Houston, USA

Master Of Science In Engineering Data Science in University of Houston

Data science is poised to play a vital role in research and innovation in the 21st century. Google, Facebook, Amazon, and Youtube are just some prominent examples which highlight the increasing impact of data science in our day-to-day life. The singularity which will facilitate the transition of our modern society to a science fiction-esque one is on the cusp of being realized due to the so-called data revolution, especially in the field of engineering.

Engineering Data Science is a broad field that encompasses predictive modeling and data-driven design of engineering systems. Applications range from health sciences and environmental sciences, to materials science, manufacturing, autonomous cars, image processing, and cybersecurity.

The demand for graduates with a data science background is already high and is growing rapidly across a wide range of industries worldwide. Houston, being the energy capital of the world as well as the home of a thriving healthcare industry, is also seeing a persistent demand for workforce well-trained in data science. To provide state-of-the-art training for a data-centric workforce, the Cullen College of Engineering offers a Master of Science in Engineering Data Science.

 

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Tuition Fees in USA (1st Year Average)	BE/Btech: USD 28300 | MS: USD 22693 | BBA: USD 26616 | MBA: USD 29558 | BSc: USD 29418 | MA: USD 20452 | MIS: USD 22133 | MFin: USD 37683 | MEng: USD 29558 | MIM: USD 35301 | MEM: USD 23254 | MArch: USD 34741 | MFA: USD 28857 | BHM: USD 27176
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