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:
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 Master's Research. With faculty permission, they may take up to 3 units of graduate-level independent study.
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.
The MS in Engineering Data Analytics and Statistics (MSDAS) degree requires 30 units.
- Required courses (15 units) for the MS degree include the following:
|ESE 417||Introduction to Machine Learning and Pattern Classification||3|
|or CSE 417T||Introduction to Machine Learning|
|or CSE 517A||Machine Learning|
|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|
- Please consult the ESE departmental website for a list of allowable electives.
- 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.
- A maximum of 6 units may be transferred from another institution and applied toward the master's degree.
- 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 toward the degree must be taken with the credit/letter grade option.