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:
ESE 417Introduction to Machine Learning and Pattern Classification3
or CSE 417T Introduction to Machine Learning
or CSE 517A Machine Learning
ESE 415Optimization3
or ESE 513 Large-Scale Optimization for Data Science
ESE 520Probability and Stochastic Processes3
ESE 524Detection and Estimation Theory3
ESE 527Practicum in Data Analytics & Statistics3
Total Units15
  • 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.

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