Overview
Computer Science (Big Data Systems) from Arizona State University program is designed with a focus on project-based learning, ensuring that you gain the expertise to design, implement and deploy systems capable of handling the constantly expanding volume of data.
Key facts
You'll learn how to design different types of scalable big data systems, such as parallel, distributed and real-time systems. Upon graduation, you'll have the expertise needed to deploy the appropriate data management, processing or analysis system for a particular task or domain application need.
You’ll also develop a deeper understanding of data through hands-on learning in big data analysis, data processing, data mining, machine deep learning, mining algorithms, visualization techniques and more. Your big data training and skills in algorithms, modeling and engineering will give you a significant competitive advantage in the field.
Graduates have the expertise to architect and manage end-to-end big data platforms, giving them a competitive edge in industry roles spanning data science, data engineering, and systems development.
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
Programme Structure
Courses include:
- Data Processing at Scale
- Statistical Machine Learning
- Data Visualization
- Data Mining
- Engineering Blockchain Applications
- Mobile Computing
Key information
Start dates & application deadlines
- Starting
- Apply before
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- Starting
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Application priority deadline.
Language
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Credits
Delivered
Campus Location
- Tempe, United States
Disciplines
Computer Sciences Data Science & Big Data View 195 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
Applicants are eligible to apply to the program if they have earned a bachelor's or master's degree in computer science, computer engineering or a closely related area from a regionally accredited institution.
Applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in the last 60 hours of their first bachelor's degree program, or they must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in an applicable master's degree program.
Applicants must submit:
- graduate admission application and application fee
- official transcripts
- statement of purpose or curriculum vitae
- proof of English proficiency
Tuition Fees
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International Applies to you
Applies to youNon-residents15000 USD / full≈ 15000 USD / full - Out-of-State15000 USD / full≈ 15000 USD / full
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Domestic
Applies to youIn-State15000 USD / full≈ 15000 USD / full
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Computer Science (Big Data Systems).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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