Program Description

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.

Admission Requirements

• A four-year bachelor's degree in engineering or engineering related field is required in order to apply for the Engineering Data Science program. 
• GPA ≥ 3.0/4.0 (or equivalent) for the last 60 hours of the undergraduate degree and on any coursework completed since graduation1.

IELTS Requirements

Listening	Reading	Writing	Speaking	Overall
7	7	7	7	7

Remarks:

• Total 30 Credits program
• Yearly tuition fee is given
• I20(Visa Letter) can be obtained only after submitting a bank statement with a balance of USD $40,674.
• Official documents required