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The M.S. in Machine Learning empowers working professionals to leverage their existing skills in programming and application area knowledge, enabling them to dive right into advanced concepts that can be applied immediately. The program includes depth of technical content, industry applications in every course, use of Rosie the supercomputer, small class sizes and faculty who excel in teaching, research and student support. Students gain the skills they need to develop and deploy machine learning solutions in their technical fields. The M.S. in Machine Learning program prepares graduates to be lead architects on complex projects involving machine learning and data science, develop solutions that address ethical and professional concerns as both technology and society continue to evolve, and pursue continued technical and professional development.
A technical Bachelor's degree.Programming experience with an object-oriented language. One year of college course work or equivalent minimum. Students with only one semester equivalent will be required to take CSC 5120 Software Development for Machine Learning in one of the M.S. in Machine Learning elective slots. At least one year of differential and integral calculus required. Multivariable calculus or linear algebra preferred. IELTS Score of 7.0 overall with no less than 6.0 in each section. A composite score of 90 must be obtained on the TOEFL, and each band score must at least 21 or higher.
AI DeveloperRobotics EngineerMachine Learning Modeler
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Milwaukee School of Engineering
