Overview
The Machine Learning Master is offered by Milwaukee School of Engineering. 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.
Key Facts
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. Graduates of the program will be able to analyze complex problems involving advanced applications of machine learning and data science, and effectively evaluate and utilize state-of-the-art software and parallel computing hardware in the design and implementation of projects. They will be able to successfully deploy production-quality solutions involving machine learning and data science techniques using current best practices.
Programme Structure
Courses include:
- Microservices and Cloud Computing
- AI Tools and Paradigms
- Machine Learning Production Systems
- Applied Machine Learning
- Mathematical Methods for Machine Learning
- GPU Programming
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- StartingApplication deadline not specified.
- StartingApplication deadline not specified.
Language
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- 4.9/5 student rating
Credits
Delivered
Campus Location
- Milwaukee, United States
Disciplines
Machine Learning View 104 other Masters in Machine Learning in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Technical bachelor’s degree
- Programming experience with a modern language such as Python, C#, or Java. One year of college coursework or equivalent minimum.
- At least a year of differential and integral calculus required. Multivariable calculus or linear algebra preferred.
Tuition Fees
-
International Applies to you
Applies to youNon-residents26496 USD / year≈ 26496 USD / year - Out-of-State26496 USD / year≈ 26496 USD / year
-
Domestic
Applies to youIn-State26496 USD / year≈ 26496 USD / year
Living costs
Milwaukee
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Machine Learning.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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