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 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.

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 unit hours of course instruction and 6 unit hours of thesis research (ESE 599); 3 of these unit hours of thesis research may be applied toward the 15 core electrical engineering unit 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.

Degree Requirements

The MS in Data Analytics and Statistics (MSDAS) degree requires 30 units. 

  • Required courses (15 units) for the MS degree include the following:
ESE 520Probability and Stochastic Processes3
or Math 495 Stochastic Processes
ESE 524Detection and Estimation Theory3
Math 494Mathematical Statistics3
ESE 415Optimization3
or ESE 516 Optimization in Function Space
or ESE 518 Optimization Methods in Control
CSE 417TIntroduction to Machine Learning3
or CSE 514A Data Mining
or CSE 530S Database Management Systems
Total Units15
  • The remaining courses in the program may be selected from senior or graduate-level courses in ESE or elsewhere in the university that are approved by the department. Please consult the ESE departmental website for a list of allowable electives.
  • 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 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 3.2 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.