PhD Data Science, Analytics and Engineering at Arizona State University

The Doctor of Philosophy program in data science, analytics and engineering engages you in fundamental and applied research. The program's educational objective is to develop your ability to conduct original research in the design and application of data-driven methods to address major societal problems. This includes the ability to identify research needs, adapt existing methods and create new methods as needed --- accomplished through a rigorous education that integrates research and learning experiences.

Faculty: Ira A. Fulton Schools of Engineering  |  Department: Computer Science and Engineering Program  |  Duration: 84 credit hours  |  Study mode: full-time  |  Intake: Fall, Spring  |  Location: Tempe, AZ, United States

What you will study

84 credit hours, a written comprehensive exam, an oral comprehensive exam, a prospectus and a dissertation Required Core (12 credit hours) CSE 511 Data Processing at Scale (3) CSE 543 Information Assurance and Security (3) CSE 572 Data Mining (3) or EEE 549 Statistical Machine Learning: From Theory to Practice (3) or IEE 520 Statistical Learning for Data Mining (3) EEE 554 Probability and Random Processes (3) or IEE 670 Mathematical Statistics (3) or STP 502 Theory of Statistics II: Inference (3) Electives and Additional Research (39 credit hours) Research (12 credit hours) DSE 792 Research (12) Other Requirements (9 credit hours) data engineering coursework or data analytics coursework Culminating Experience (12 credit hours) DSE 799 Dissertation (12) Additional Curriculum Information All students must take qualifying exams covering the required core courses within one year of entering the program.

Career pathways

Graduates demonstrate proficiency with existing methodology and significant achievement in advancing the state of the art in their chosen area, preparing them for careers in the following fields: advanced research business government industry teaching

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