Online Master of Computer Science – Big Data Systems
Does harnessing the power of computing and machine learning to make sense of big data interest you? If so, Arizona State University’s online Master of Computer Science with a concentration in big data systems may be a great fit. In this program, you'll design scalable systems for capturing, processing and interpreting large and complex data sets. You'll also gain analytical expertise to generate insights from data and inform decision-making for organizations.
Next start date: 08/18/2022
Total classes: 10
Weeks per class: 7.5
Total credit hours: 30
Degree questions, answered.
Have questions about the Computer Science - Big Data Systems (MCS)? Fill out this form and we’ll get in touch!
What is big data?
Big data describes the massive amount and variety of data being generated to support our knowledge economy. While some data is “at rest,” real-time processing of “data in motion” is vital for many applications. These include fraud detection systems, financial services, mobile/location-aware services, credit card authentication and health care.
Such vast, fast and complex data are difficult to store, manage, analyze and draw insights from. This necessitates the engineering of new data architectures and tools with lots of processing power. These can match the scale of the data and support split-second decision-making through data fusion and integration, analysis, visualization and forecasting algorithms.
New data systems help make decisions, support research discovery and generate value. Thus, there's an urgent need for engineers and data scientists with excellent data management, system development/integration and data analysis skills.
Why earn a master’s degree with a concentration in big data systems?
There’s a high demand for a new crop of data scientists and engineers with the ability to distill high volume, high velocity and high variety data sets. They need the analytical skills to turn data into meaningful insights and make accurate predictions based on the data. Through project-based learning, the online Master of Computer Science with a concentration in big data systems prepares you to architect, implement and deploy systems to manage this ever-growing amount of data.
Will my big data degree concentration say ‘online’?
No, Arizona State University’s diplomas don’t specify whether you earn your degree online or in person. All diplomas and transcripts simply say “Arizona State University.” That’s because ASU Online students learn from the same faculty and receive the same course content as in-person students receive.
Please note your diploma will state the degree you earn: Master of Computer Science. Your concentration in big data systems will not appear on your diploma, but it will be noted on your transcripts.
Featured Master of Computer Science courses
Master of Computer Science – big data systems students must take one foundations course, one systems course and one applications course. Students must also complete a concentration requirement of 15 credit hours by taking big data systems courses, such as:
- Engineering Blockchain Applications.
- Data Mining.
- Data Processing at Scale.
- Data Visualization.
- Statistical Machine Learning.
Foundations of Algorithms
Knowledge Representation and Reasoning
Advanced Computer and Network Security
Distributed & Multiprocessor Operating Systems
Information Assurance and Security
Software Project, Process and Quality Management
What can you do with a master's degree concentration in big data systems?
Big data plays an instrumental role in many fields. These include health care, media, entertainment, manufacturing, education, banking and transportation. You can also find a career that suits your unique interests, from administering databases to developing software. Potential careers include, but are not limited to:
Master’s degree concentration in big data systems admission requirements
Top 25% of all accredited engineering programs in the nation
Each student is fully supported on their path to success in the Ira A. Fulton Schools of Engineering. We have received peer-reviewed programmatic honors from the U.S. News & World Report and provide students with a rich learning environment.
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