Arizona State University Ira A. Fulton Schools of Engineering 3 courses 30 total credits
You develop the skills to design, implement and manage scalable data platforms in the online Master of Computer Science program with a concentration in big data systems, preparing you for careers in data science and engineering. This concentration program provides you with advanced training in the architecture and management of large-scale data systems. Designed for professionals seeking expertise through hands-on experience, the program prepares you to meet the growing demand for data scientists and engineers who can build and optimize data-driven solutions. You gain the knowledge and skills to design scalable systems --- parallel, distributed and real-time --- that acquire, store, process and access massive heterogeneous datasets. You also learn to apply analytical tools to extract insights and deploy the right data management, processing and analysis frameworks for structured and unstructured data across diverse domains.
| Required Core Areas | 9 credits |
| Concentration | 9 credits |
| Restricted Electives | 6 credits |
| Electives | 6 credits |
| Total Credits | 30 credits |
Required Core Areas
applications (3) foundations (3) systems (3)
Concentration
| Code | Course Title | Credits |
|---|---|---|
| CSE 511 | Data Processing at Scale | 3 |
| CSE 575 | Statistical Machine Learning | 3 |
| CSE 578 | Data Visualization | 3 |
| Total Concentration | 9 credits | |
Restricted Electives
Electives
Additional Curriculum Information
This is a course-based master's degree program. Students should see the academic unit for the list of courses approved for electives and each core area in applications, foundations and systems. Coursework selected as part of the area core may not be used as elective coursework on the same plan of study. Students should check with their academic advisor to ensure that the total number of credit hours of their plan of study is equal to 30. The concentration coursework cannot be used as part of the area core on the same plan of study. Students must complete concentration course requirements as listed and complete different coursework for each of the core areas in applications, foundations and systems. At least 24 of these hours must be CSE 5XX credits at ASU. A maximum of four CSE 598 courses may be allowed as elective coursework. Up to six credit hours of 400-level courses may be applied to the plan of study. All 30 credit hours must be from formal coursework. CSE 590 is not allowed as part of the MCS program plan of study.
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