The Certificate in Data Mining and Machine Learning can be awarded in conjunction with any engineering master's degree. In order to qualify for this certificate, students enrolled in any master's in engineering program will need to meet the requirements listed below in addition to the standard requirements for their master's degree.

Required Courses

CSE 417TIntroduction to Machine Learning3
CSE 517AMachine Learning3
CSE 541TAdvanced Algorithms3
Total Units9

Foundations Courses

Choose two courses:

CSE 511AIntroduction to Artificial Intelligence3
CSE 513TTheory of Artificial Intelligence and Machine Learning3
CSE 514AData Mining3
CSE 515TBayesian Methods in Machine Learning3
CSE 519TAdvanced Machine Learning3
Math 493Probability3
Math 494Mathematical Statistics3

Applications Courses

Choose one course:

CSE 427SCloud Computing with Big Data Applications3
CSE 516AMulti-Agent Systems3
CSE 559AComputer Vision3
CSE 584AAlgorithms for Biosequence Comparison3
CSE 587AAlgorithms for Computational Biology3

Additional Information

  • All courses must be taken for a grade.
  • Students with previous courses in machine learning may place out of CSE 417T. These students will be required to complete an additional foundations course for a total of three foundations courses.
  • Students who began the certificate prior to FL16 who have successfully completed CSE 517A, independent of CSE 417T, will be required to complete an additional foundations course in place of CSE 417T for a total of three foundations courses. No student will be allowed to take CSE 417T after the successful completion of CSE 517A.
  • Any student who began the certificate prior to FL16 may choose to take CSE 441T in place of CSE 541T.