The Computer Science - Big Data Systems MSc program at Arizona State University offers an in-depth curriculum focused on designing and implementing scalable big data systems. It emphasizes research and practical skills in distributed, parallel, and real-time data processing, preparing students for advanced roles in data engineering, analysis, and system architecture.
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The Computer Science - Big Data Systems MSc program at Arizona State University offers an in-depth curriculum focused on designing and implementing scalable big data systems. It emphasizes research and practical skills in distributed, parallel, and real-time data processing, preparing students for advanced roles in data engineering, analysis, and system architecture.
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400 Students
AI/ML, Systems, Theory, Human-Computer Interaction
Access to cutting-edge research labs and industry partnerships
105.0
Starting 2026-08-01
Apply before 2125-04-18
Starting 2026-01-01
Apply before 2125-04-18
Dec-25, August 2026-2025, 2026-01-01 00:00:00, May 2026-August 2026 2025
Courses include:Database Management System ImplementationDistributed Database SystemsData MiningStatistical Learning for Data MiningMultimedia and Web DatabasesStatistical Machine LearningData VisualizationSemantic Web MiningVirtualization and Cloud Computing
Applicants must hold a bachelor's or master's degree from a regionally accredited institution with a minimum GPA of 3.25 in the last 60 credit hours of undergraduate study or in a relevant master's program. Required application materials include a completed graduate admission application and fee, official transcripts, GRE scores, three letters of recommendation, a statement of purpose, and proof of English language proficiency.
₹25,64,565/Year
Annual Fee
1 year
Total Duration
No Living costs available.
No University Scholarships Available
N/A
Amount
1250 USD
Deadline
Not specified
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Amount
Various benefits
Deadline
Not specified
N/A
Amount
Various benefits
Deadline
Not specified
N/A
Amount
2000 USD
Deadline
15 Apr 2025
N/A
Amount
300 EUR
Deadline
Anytime
No Eligibility Requirements Available
No Application Steps Available
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