Overview
This MS in Machine Learning Engineering is offered at Drexel University .Life is now being transformed by the application of artificial intelligence (AI) and machine learning techniques and principles.
About the programme
A graduate degree program in machine learning engineering allows you to best leverage data and incorporate the coming wave of automation in all its varieties, and understand and explore the potential ways machine learning can improve our lives and environment.
A master’s in machine learning engineering provides knowledge the fundamental underpinnings of modern machine learning while drawing from an understanding of fundamental principles from various disciplines required for innovation of successful solutions that are best suited to a given problem. You will become an expert in how to implement an integration of industry-leading software tools for rapid prototyping of AI and machine learning systems and gain exposure to novel computing architectures of machine learning for implementation of new and advanced outcomes. This program will actively demonstrate how the discipline is put to use in cutting-edge areas where machine learning is being applied in industries ranging from technology, healthcare, bioengineering, smart-cities, the Internet-of-Things, cybersecurity and many others. You will learn the critical thinking required, and become skilled at the tools that you will need to advance your career or entrepreneurial ambitions in industry or provide a foundation for continuing study as a PhD.
About Drexel Enineering
The degree program leverages a long history of producing machine learning experts. Designed with working professionals in mind, graduates go on to obtain positions in diverse fields ranging from business analytics and healthcare to finance and defense, as well as with leading tech companies around the globe. Students in the machine learning degree program gain the ability to implement machine learning systems using cutting-edge software libraries including Keras, TensorFlow, and scikit-learn. You will benefit from classes taught by elite world-leading research experts in areas such as music understanding, image and video authentication, intelligent wireless systems, robotics, cell and tissue image analysis, genomics and bioinformatics.
Programme Structure
Courses include:
- Multimedia and Information Security Laboratory
- Ecological & Evolutionary Signal-Processing & Informatics Laboratory
- Computational Image Sequence Analysis Laboratory
- Music and Entertainment Technology Laboratory
- Adaptive Signal Processing and Information Theory Research Group
- Drexel Wireless Systems Laboratory
Key information
Duration
- Full-time
- 18 months
- Part-time
- 36 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
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- Starting
- Apply before , National
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Language
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Credits
Delivered
Campus Location
- Philadelphia, United States
Disciplines
Machine Learning View 103 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 satisfy general requirements for graduate admission including a minimum 3.0 GPA (on a 4.0 scale) for the last two years of undergraduate studies, as well as for any subsequent graduate work. Students will be required to hold a BS in electrical engineering, computer engineering, or computer science; or a bachelor’s degree in an aligned area (e.g. statistics, neuroscience, etc.) in addition to an appropriate technical background which will be reviewed during the admissions process.
- Full-time applicants are encouraged to take the GRE exam. Students who do not hold a degree from a US institution must take the TOEFL or IELTS exam within two years of application submission.
Tuition Fees
-
International Applies to you
Applies to youNon-residents41460 USD / year≈ 41460 USD / year - Out-of-State41460 USD / year≈ 41460 USD / year
-
Domestic
Applies to youIn-State41460 USD / year≈ 41460 USD / year
Living costs
Philadelphia
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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- Free visa & career support through our Path2Success program
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Machine Learning Engineering.
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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