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Arizona State University Ira A. Fulton Schools of Engineering 11 courses 30 total credits
Earn a Master of Science in computer science with a concentration in big data systems from ASU to build skills as a data scientist or software engineer.
| Required Core Areas | 9 credits |
| Concentration | 9 credits |
| Restricted Electives | 6 credits |
| Electives | 6 credits |
| Required Core Areas | 9 credits |
| Concentration | 9 credits |
| Restricted Electives | 6 credits |
| Total Credits | 30 credits |
Required Core Areas
Applications (3) Foundations (3) Systems (3)
Concentration
| Code | Course Title | Credits |
|---|---|---|
| CSE 510 | Database Management System Implementation | 3 |
| CSE 512 | Distributed Database Systems | 3 |
| CSE 572 or IEE 520 | Data Mining or Statistical Learning for Data Mining | 3 |
| Total Concentration | 9 credits | |
Restricted Electives
| Code | Course Title | Credits |
|---|---|---|
| CSE 515 | Multimedia and Web Databases | 3 |
| CSE 546 | Cloud Computing | 3 |
| CSE 573 | Semantic Web Mining | 3 |
| CSE 575 | Statistical Machine Learning | 3 |
| CSE 578 | Data Visualization | 3 |
| Total Restricted Electives | 6 credits | |
Electives
Required Core Areas
Applications (3) Foundations (3) Systems (3)
Concentration
| Code | Course Title | Credits |
|---|---|---|
| CSE 510 | Database Management System Implementation | 3 |
| CSE 512 | Distributed Database Systems | 3 |
| CSE 572 or IEE 520 | Data Mining or Statistical Learning for Data Mining | 3 |
| Total Concentration | 9 credits | |
Restricted Electives
| Code | Course Title | Credits |
|---|---|---|
| CSE 515 | Multimedia and Web Databases | 3 |
| CSE 546 | Cloud Computing | 3 |
| CSE 573 | Semantic Web Mining | 3 |
| CSE 575 | Statistical Machine Learning | 3 |
| CSE 578 | Data Visualization | 3 |
| Total Restricted Electives | 6 credits | |
Culminating Experience (3 or 6 credit hours)
| Code | Course Title | Credits |
|---|---|---|
| CSE 593 | Applied Project | 3 |
| CSE 599 | Thesis | 6 |
Additional Curriculum Information
The master's degree offers a course-based option. Students should see the academic unit for the list of courses approved for each core area in applications, foundations and systems. Courses that are used to satisfy the concentration requirement on the plan of study cannot be used to satisfy the core requirement. Additionally, courses selected as part of the core or concentration may not be used as other elective coursework on the same plan of study. Students may complete a thesis or an applied project as an optional culminating experience. All students must complete six credit hours from the restricted electives list. Students in the course-based option must also take six credit hours of electives. Students who enjoy solving real-world problems and applying practical skills in professional settings may be drawn to the applied project option. Applied project students must also take three credit hours of electives. Students with a strong interest in research and a desire to contribute original knowledge to their field may be well-suited for the thesis option. Students who select the applied project as their culminating experience must complete their project at the direction of an approved computer science graduate faculty member and complete the project course with a grade of "B" (3.00) or higher. Students complete a minimum of 30 credit hours for the program. At least 24 of these credit hours must be 500-level CSE courses at ASU. Up to six credit hours of 400-level courses may be applied to the plan of study for the nonthesis options.
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