Database Management System Implementation
Implementation of database systems. Data storage, indexing, querying, and retrieval. Query optimization and execution, concurrency control, and transaction management.
Degree pathways
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Transfer up to 3 courses (an estimated 9 credits)
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Same degree from ASU
OPT eligibility
Up to 3 years: 1 year OPT + 2-year STEM OPT extension
Tuition cost and Credit Transfer
Tuition estimates are based on ASU's published 2026–2027 tuition and fee rates and are subject to change. The number of credits that transfer and the length of the one-year timeline may vary by student and by home institution.
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Program description
Computer Science (Big Data Systems), MS
This on-campus program offers rigorous, research-driven training in building systems that can manage data at scale, preparing graduates to push forward innovation in data science and engineering.
Unlike the more industry-oriented Master of Computer Science, the Master of Science in Computer Science with a concentration in Big Data Systems emphasizes fundamental and applied research, giving students the opportunity to generate new knowledge and technology in data-intensive computing through either a thesis or a nonthesis portfolio option. Students build expertise in designing parallel, distributed, and real-time systems for acquiring, storing, processing, and accessing large and varied datasets, while learning to apply advanced analytical methods and choose the right data management and processing frameworks for both structured and unstructured data.
Curriculum
Featured courses
Distributed Database Systems
Distributed database design, query processing, and transaction processing. Distributed database architectures and interoperability. Emerging technology.
Data Mining
Advanced data mining techniques: classification, clustering, association, preprocessing; performance evaluation; information assurance, Web mining, security and privacy issues, and other applications. Students must have a solid background in database management systems, search, learning and statistics to be successful in this course.
Admissions
Admission requirements
Program requirements
For admission requirements, refer to the academic unit program page. Some programs have additional requirements — check with your local Enrollment Advisor for details.
Computer Science (Big Data Systems), MS, MS →Transfer applicants
International graduate and undergraduate transfer applicants should review ASU's international transfer guidance before applying.
https://admission.asu.edu/apply/international/transfer →Key admission dates & deadlines
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| Campus Immersion | Online | Campus Immersion | Online | |
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Outcomes
Career opportunities & applicable roles
Graduates are prepared for research and development roles in industry and academia, with the skills to innovate in data science, data engineering and large-scale computing systems.
Career examples include
Computer Network Architect
Computer System Analyst
Computer Systems Engineer
Data Scientist or Engineer
Machine Learning, Artificial Intelligence, Computer Vision Engineer
Software Developer
Software Engineer
The school
Ira A. Fulton School of Engineering
The Ira A. Fulton Schools of Engineering is the largest and most comprehensive engineering program in the United States, with students from 150 countries and all 50 states. It offers 28 undergraduate and more than 55 graduate programs across eight schools.
Faculty lead high-impact research, including EPIXC, a $70 million clean energy institute funded by the U.S. Department of Energy, and the $39.8 million SWAP Hub supported by the CHIPS and Science Act. The college is also home to five Science and Technology Centers.
U.S. News & World Report ranks its graduate engineering programs No. 23 among public universities (2025–2026), and its faculty have received more than 130 U.S. patents and launched 13 startups.
Ready to take the next step in your career?
Complete the Request Information form and connect with an International Enrollment Advisor to explore your options.