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Graduate Programs PhD in Computer Science or Computer Engineering MS in Computer Engineering MS in Cybersecurity Engineering MEng in Computer Science & Engineering MS in Computer Science Graduate Certificate in Cybersecurity Engineering Graduate Certificate in Data Mining & Machine Learning Academics Undergraduate Programs Bachelor of Science in Business + Computer Science Bachelor of Science in Computer Engineering Bachelor of Science in Computer Science Bachelor of Science in Computer Science + Economics Bachelor of Science in Computer Science + Math Bachelor of Science in Data Science Second Major Minors Academics Current Graduate Students Resources for Current PhD Students Resources for Current Master's Students Academics Turner Dissertation Award Undergraduate Research Course Offerings CSE Placement Exam Frequently Asked Questions Main Menu Faculty & Research Looking for someone? Search Engineering Faculty View Faculty Directory Faculty & Research Creating knowledge for a better world. Faculty Directory Faculty Openings Collaborating Faculty Collaborating Labs & Centers Courtesy Appointments Other Appointments Research Areas Computational Systems Biology Computer Engineering Cyberphysical Systems Cybersecurity and Privacy Graphics, Vision & Imaging Human-Computer Interaction Machine Learning & Artificial Intelligence Natural Language Processing Networked Systems Parallel Computing Technology Theoretical Computer Science Faculty & Research Main Menu News & Events Featured News Interactive approach to geospatial search combines aerial imagery, reinforcement learning Framework for large-scale geospatial exploration developed by computer scientists Yevgeniy Vorobeychik, Nathan Jacobs and Anindya Sarkar 12.14.2023 --> News & Events Get involved and stay informed. Events Latest News Academic Calendar Colloquia series Main Menu About Us About Us We're here to create a positive impact in the world. About Us Alumni About the Chair Advisory Board Equity, Diversity & Inclusion Research Innovations History Staff Main Menu Don't know where to start? Prospective Students Current Students Faculty & Staff Alumni Industry Start your application today Undergraduate Admissions Graduate Admissions Dual Degree Program Graduate applicants: Attend an info session and skip the application fee Search Trending Searches graduate admissions academic programs financial aid academic calendar maps & directions summer school Home Academics Graduate Programs Graduate Certificate in Data Mining & Machine Learning Graduate Programs Graduate Certificate in Data Mining & Machine Learning 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 standards requirements for their master's degree. Required Courses CSE 417Tor ESE 417 Introduction to Machine LearningIntroduction to Machine Learning and Pattern Classification 3 units CSE 517A Machine Learning 3 units CSE 541T Advanced Algorithms 3 units Foundations Courses (choose two) CSE 412A Introduction to Artificial Intelligence 3 units CSE 513T Theory of Artificial Intelligence and Machine Learning 3 units CSE 514A Data Mining 3 units CSE 515T Bayesian Methods in Machine Learning 3 units CSE 519T Advanced Machine Learning 3 units CSE 543T Algorithms for Nonlinear Optimization 3 units ESE 415 Optimization 3 units Math 493 OR&＃160;ESE 520 Probability Probability and Stochastic Processes 3 units Math 494 Mathematical Statistics 3 units CSE561A Large Language Models 3 units Domain Courses (choose one) CSE 427S Cloud Computing with Big Data Applications 3 units CSE 518A Human-in-the-Loop Computation 3 units CSE527A Natural Language Processing 3 units CSE 534A Large-Scale Optimization for Data Science 3 units CSE 557A Advanced Visualization 3 units CSE 559A Computer Vision 3 units CSE 584A Algorithms for Biosequence Comparison 3 units CSE 587A Algorithms for Computational Biology 3 units CSE555T Adversarial AI 3 units CSE531A AI for Health 3 units Please Note 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 517A independent of 417T will be required to complete an additional foundations course in place of 417T for a total of three foundations courses. No student will be allowed to take 417T after the successful completion of 517A. Any student who began the certificate prior to FL16 may choose to take 441T in place of 541T. Related links PhD in Computer Science or Computer Engineering MS in Computer Science MS in Computer Engineering MS in Cybersecurity Engineering MEng in Computer Science & Engineering Graduate Certificate in Cybersecurity Engineering Turner Dissertation Award Current Graduate Students Application process & deadlines To be awarded the Certificate in Data Mining and Machine Learning, students must declare the certificate and have the program formally opened on their record. To request that your certificate be opened, please email the CSE Graduate Program Coordinator: [email protected]. If you do not officially request it to be opened, it will not appear on your degree record, and you will not be able to graduate with it, and will not be able to ask that it be retroactively applied to your degree after graduating. Please note that the registrar&＃8217;s office will only officially add the certificate to the student&＃8217;s record if the request is approved by the department before the fourth week of the semester, or after the tenth week of the semester. Requests made between the fourth and tenth week of the semester will be reviewed for approval, and the official change will go into effect on the student&＃8217;s record after the tenth week of the semester. 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