Either a thesis option or a course option may be selected. The special requirements for these options are as follows:
This option is intended for those employed in local industry who wish to pursue a graduate degree on a part-time basis, or for full-time students who do not seek careers in research. Students must have a cumulative grade point average of at least 3.2 out of a possible 4.0 over all courses applied toward the degree. Under the course option, students may not take ESE 599 Master's Research, and with faculty permission may take up to 3 units of ESE 500 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 credit hours of course instruction and 6 credit hours of thesis research (ESE 599). Three (3) of these credit hours of thesis research may be applied toward the 15 core electrical engineering credit hours required for the MSEE program. Any of these 6 hours of thesis research may be applied as electives for the MSEE, MSSSM, MSDAS, MCEng and MEngR programs. The student must write a master's thesis and defend it in an oral examination.
MS in Data Analytics and Statistics
The MS in Data Analytics and Statistics (MSDAS) is an academic master's degree designed for students interested in learning statistical techniques necessary to make informed decisions based on data analysis.
- The MSDAS degree requires 30 units, which may include optionally 6 units for thesis.
- Required courses (15 units) for the MS degree include:
|ESE 520||Probability and Stochastic Processes||3|
|or Math 493||Probability|
|ESE 524||Detection and Estimation Theory||3|
|Math 494||Mathematical Statistics||3|
|CSE 514A||Data Mining||3|
|or CSE 517A||Machine Learning|
|or CSE 530S||Database Management Systems|
|or ESE 516||Optimization in Function Space|
|or ESE 518||Optimization Methods in Control|
- The remaining courses in the program may be selected from senior- or graduate-level courses in ESE or elsewhere in the university. Courses must be in technical subjects relevant to statistics, optimization, computation, or applications of data analysis and require the department's approval.
- ESE 590 Electrical & Systems Engineering Graduate Seminar must be taken each semester. Master of Science students must attend at least three seminars per semester.
- A maximum of 6 credits may be transferred from another institution and applied toward the Master of Science degree. Regardless of subject or level, all transfer courses are treated as electives and do not count toward the requirement of 15 credit hours of graduate-level electrical engineering courses.
- Program tracks in Statistics; Optimization and Decision Theory; Computing are available.
- The degree program must be consistent with the residency and other applicable requirements of Washington University and the School of Engineering & Applied Science.
- Students must have a cumulative grade point average of at least 3.2 out of a possible 4.0 over all courses applied toward the degree.