Overview
The Applied Machine Learning program offered by University of Maryland focuses on the methods and techniques of creating models and algorithms that learn from, and make decisions or predictions, based on data. Successful graduates will apply the learned tools and techniques to a wide variety of real-world problems in areas such as marketing, finance, medicine, telecommunications, biology, security, engineering, social networking, and information technology.
Key Facts
In the MS in Applied Machine Learning, students engage in cutting-edge technical coursework in machine learning and develop their problem-solving skills in the art and science of processing and extracting information from data. Throughout their coursework, students build solid foundations in mathematics, statistics, and computer programming, and explore advanced topics in machine learning such as deep learning, optimization, big data analysis, and signal/image understanding. The program also focuses on the applications of machine learning to computer vision, natural language processing, robotics, data science, and other areas.
Programme Structure
Courses Include:
- Probability and Statistics
- Principles of Machine Learning
- Optimization
- Computing Systems for Machine Learning
- Algorithms and Data Structures for Machine Learning
- Data Science
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
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- Starting
- Apply before , International
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Language
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Credits
Delivered
Campus Location
- College Park, United States
Disciplines
Machine Learning View 102 other Masters in Machine Learning in United StatesWhat students do after studying
Academic requirements
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
- Applicants must have earned a four-year baccalaureate degree from a regionally accredited U.S. institution, or an equivalent degree from a non-U.S. institution.
- Applicants must have earned a 3.0 GPA (on a 4.0 scale) in all prior undergraduate and graduate coursework.
- Applicants must provide an official copy of transcripts for all of their post-secondary work.
- Statement of Purpose
- Transcript(s)
- TOEFL/IELTS/PTE (international graduate students)
- Graduate Record Examination (GRE) (optional)
- CV/Resume
- Description of research/work experience
- Prior coursework establishing quantitative ability (including calculus II, linear algebra, statistics, etc.)
- Proficiency in programming languages, demonstrated either through prior programming coursework or substantial software development experience
Tuition Fees
-
International Applies to you
Applies to youNon-residents28170 USD / year≈ 28170 USD / year - Out-of-State28170 USD / year≈ 28170 USD / year
-
Domestic
Applies to youIn-State13170 USD / year≈ 13170 USD / year
Living costs
College Park
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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Get the funding you need to study in the U.S. or Canada - with a process that's fast, simple, and built for international students.
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- Fixed interest rates -- no inflation surprises
- No upfront fees or prepayment penalties
- Accepted at 500+ universities across the U.S. & Canada
- 100% online application -- instant conditional offer
- Free visa & career support through our Path2Success program
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Applied 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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