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Doctoral

Data Science, Analytics and Engineering, PhD

Arizona State University Ira A. Fulton Schools of Engineering 10 courses 84 total credits

About This Program

Conduct original research in data-driven methods, statistical learning and data engineering in ASU's data science, analytics and engineering degree, PhD program at Fulton Schools.

Degree Requirements

Required Core 12 credits
Electives and Additional Research 39 credits
Research 12 credits
Other Requirements 9 credits
Culminating Experience 12 credits
Total Credits 84 credits

Required Core

Code Course Title Credits
CSE 511 Data Processing at Scale 3
CSE 543 Information Assurance and Security 3
Total Required Core 12 credits

Required Core - Complete one of the following:

Required Core - Complete one of the following:

Electives and Additional Research

Research

Code Course Title Credits
DSE 792 Research 12
Total Research 12 credits

Other Requirements

data engineering coursework or data analytics coursework

Culminating Experience

Code Course Title Credits
DSE 799 Dissertation 12
Total Culminating Experience 12 credits

Additional Curriculum Information

All students must take qualifying exams covering the required core courses within one year of entering the program. The dissertation prospectus should be submitted and its oral defense completed no later than one year following completion of the 60th credit hour and also no later than the fourth year in the program. Students must select coursework from either the data engineering or the data analytics requirements. Students should see the academic unit for the approved course list. Students cannot use a data engineering or data analytics course to meet an elective requirement at the same time; they must take a different elective course to reach the number of credit hours required for the program. Other coursework may be used with the approval of the academic unit to fulfill these requirements. Twelve credit hours of DSE 792 Research are required, and up to 24 credit hours are allowed on the plan of study. Students with more than 12 research credit hours will apply the excess credit hours to their electives and additional research. Electives include: additional DSE 792 Research credit hours (up to 12 credit hours allowed beyond the required 12) approved elective courses, of which up to three credit hours of DSE 790: Reading and Conference are permitted, with approval All students enrolled in the PhD in Data Science, Analytics and Engineering must complete a supervised practical training experience that allows them to apply specific knowledge, research methods, and/or professional competencies in a professional setting. This experience is an integral component of the dissertation curriculum, and successful completion is required to satisfy the dissertation requirements and earn the degree. When approved by the student's supervisory committee and the Graduate College, 30 credit hours from a previously awarded master's degree can be used for this degree. If students do not have a previously awarded master's degree, the 30 hours of coursework are to be made up of electives to reach the required 84 credit hours.

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Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.

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