Master of Science in Engineering Data Analytics and Statistics (MSDAS)
Either a thesis option or a course option may be selected. The special requirements for these options are as follows:
Course Option
The Master of Science in Engineering Data Analytics and Statistics is an academic master's degree designed mainly for both full-time and part-time students interested in proceeding to the departmental full-time doctoral program and/or an industrial career. Under the course option, students may not take ESE 599 Masters Research. With faculty permission, they may take up to 3 units of graduate-level independent study.
Thesis Option
This option is intended for those pursuing full-time study and engaged in research projects. Candidates for this degree must complete a minimum of 24 units of course instruction and 6 units of thesis research (ESE 599); 3 of these units of thesis research may be applied toward the 15 core electrical engineering units required for the MSEE program. Any of these 6 units of thesis research may be applied as electives for the MSEE, MSSSM, and MSDAS programs. The student must write a master's thesis and defend it in an oral examination.
Degree Requirements
The MS in Engineering Data Analytics and Statistics (MSDAS) degree requires 30 units.
- Required courses (15 units) for the MS degree include the following:
| Code | Title | Units |
|---|---|---|
| ESE 417 | Introduction to Machine Learning and Pattern Classification | 3 |
| or CSE 417T | Introduction to Machine Learning | |
| or CSE 517A | Machine Learning | |
| ESE 415 | Optimization | 3 |
| or ESE 513 | Large-Scale Optimization for Data Science | |
| ESE 520 | Probability and Stochastic Processes | 3 |
| ESE 524 | Detection and Estimation Theory | 3 |
| ESE 527 | Practicum in Data Analytics & Statistics | 3 |
| Total Units | 15 | |
- Please consult the ESE departmental website for a list of allowable electives.
- A maximum of 6 credits may be transferred from another institution and applied toward the master's degree. Regardless of the subject or level, all transfer courses are treated as electives and do not count toward the core requirements for the degree.
- ESE 590 Electrical & Systems Engineering Graduate Seminar must be taken by full-time graduate students each semester. This course is taken with the unsatisfactory/satisfactory grade option.
- The degree program must be consistent with the residency and other applicable requirements of Washington University and the McKelvey School of Engineering.
- Students must obtain a cumulative grade-point average of at least 3.0 out of a possible 4.0 overall for courses applied toward the degree. Courses that apply for the degree must be taken with the credit/letter grade option.