Pittsburgh, United States
The Master of Computational Data Science (MCDS) at Carnegie Mellon University's Language Technologies Institute focuses on engineering and deploying large-scale information systems, offering concentrations in Systems, Analytics, and Human-Centered Data Science. During the first two semesters, all students take five required core courses spanning fundamentals of computational data science, cloud computing, machine learning, interactive data science, and a data science seminar, graduating with a unified vision from core courses, internship experience, and a semester-long, group-oriented capstone project. Total cost is approximately ₹69,66,972 for Indian students over 12 Months. MCDS graduates are sought after for their ability to develop the technology layers behind the next generation of massive information system deployments. Graduates move into roles in data engineering, analytics, and large-scale systems development.
Carnegie Mellon University is one of only 11 US colleges designated by the NSA and Department of Homeland Security as a Center of Academic Excellence in all three cybersecurity focus areas, with its Heinz College and School of Computer Science delivering globally top-ranked specialised master's programs.
Explore student life at CMU's Language Technologies Institute, home to the Master of Computational Data Science program's group-oriented, semester-long capstone project.
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Check Insurance PlansBased on current data, Computational Data Science at Carnegie Mellon University has a total cost of ₹69,66,972 and an estimated ROI (including loan interest) of 203% over a 12-months program. Carnegie Mellon University's median graduate package is ₹1,55,00,000.
Carnegie Mellon University requires a minimum TOEFL iBT score of 100 or an IELTS score of 7.0, along with a GPA of 3.20. GRE is required (minimum score of 319) and GMAT is not required for this program.