Saint Louis, United States
The MS in Engineering Data Analytics and Statistics (MSDAS) at Washington University in St. Louis's McKelvey School of Engineering is an academic master's degree designed for students seeking advanced expertise in using cutting-edge software and analytical tools to collect, analyse, model, and optimise data. This interdisciplinary field sits at the intersection of systems science, mathematics, and computer science and engineering, all essential in the rapidly changing world of analytics and data science. Total cost is approximately ₹1,49,50,769 for Indian students over 24 Months. Graduates have gone on to work as researchers, analysts, and software engineers at companies including Amazon, Bayer, Bosch, Citigroup, Deloitte Consulting, The Federal Reserve, and GE. Graduates move into roles across data analytics, research, and software engineering.
Washington University in St. Louis (WashU), founded in 1853 and a member of the Association of American Universities, is classified among R1 Doctoral Universities with very high research activity, drawing students and faculty from all 50 US states and over 120 countries.
Explore student life at WashU's McKelvey School of Engineering, home to an interdisciplinary data analytics program with graduates placed at Amazon, Bayer, Citigroup, and GE.
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Check Insurance PlansBased on current data, Engineering Data Analytics & Statistics at Washington University Saint Louis has a total cost of ₹1,49,50,769 and an estimated ROI (including loan interest) of 48% over a 24-months program. Washington University Saint Louis's median graduate package is ₹78,94,213.
Washington University Saint Louis requires a minimum TOEFL iBT score of 90 or an IELTS score of 6.5, along with a GPA of 3.00. GRE is required and GMAT is not required for this program.