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Organisations, regardless of size, are adopting emerging technologies like machine learning, data science, and AI to gain meaningful insights from large chunks of data in a bid to accelerate their growth. According to the Analytics and Data Science India Industry study 2020, advanced analytics, predictive modelling, and data science together account for 16% of the analytics revenues across enterprises. The rapid digital adoption has opened the skill gap wide. Many institutions across the world are now offering courses both online and offline to plug this gap.

Here are the top ten Masters in Machine Learning in the US.

(The list is in alphabetical order)

Program: Master of Science in Machine Learning

Location: Pittsburgh, Pennsylvania

Duration: Up to 2 years

About: The Master of Science in Machine Learning includes 7 Core courses, 2 Elective courses, and a practicum. Incoming students should have good analytical skills and a strong aptitude for mathematics, statistics, and programming.

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Program: Computer Science M.S. With Specialisation in Machine Learning

Location: Ithaca, New York

Duration: 2 years or more

About: The program comprises five different core areas such as algorithms and theory of computation, artificial intelligence, systems, programming languages and methodology, scientific computing and applications.

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Program: Master of Science in Computer Science With Specialisation in Machine Learning

Location: Atlanta, Georgia

Duration: 2 years

About: The Master of Science in Computer Science (M.S. CS) is a terminal degree program designed to prepare students for highly productive careers in the industry. Students can choose from 11 areas of specialisation including Machine Learning, Interactive Intelligence, Scientific Computing, High-Performance Computing, and Human-Computer Interaction.

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Program: Data Analytics & Machine Learning Masters Programs

Location: Durham, North Carolina

Duration: 1.5 2 years

About: The focus on data analysis and machine learning provides masters students with the tools to manage, interpret and gain new insights from data. Students will be exposed to mathematical foundations of Big Data, training in practical programming, and instruction in machine learning, statistics and information theory.

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Program: Master of Science in EECS with Specialisation in Machine Learning

Location: Cambridge, Massachusetts

Duration: 1 to 2 years or more

About: The Master of Science in Electrical Engineering and Computer Science (EECS) offers research possibilities in artificial intelligence, Computer Graphics and Vision, Human-Computer Interaction, Machine Learning, Natural Language and Speech Processing.

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Program: MS in Artificial Intelligence

Location: Boston

Duration: 2 years

About: In the MS in AI degree program, students will learn to apply creative thinking, algorithmic design, and coding skills to build modern AI and machine learning systems. Students will get deep technical training and expertise in machine learning, computer vision, and natural language processing.

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Program: MS in Computer Science Artificial Intelligence & Machine Learning

Location: Rochester, New York

Duration: 2 years

About: This program is for students who intend to complete their studies at the University of Rochester with an MS degree. The Artificial Intelligence & Machine Learning Masters program covers topics like data mining, computer vision, machine learning, statistical speech and language processing.

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Program: Masters in Computer Science

Location: San Diego, California

Duration: 2 years or more

About: The Masters degree is offered with the title Computer Science and Engineering or Computer Science and Engineering (Computer Engineering). Students must register for a minimum of three quarters for residency requirements.

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Program: Master of Science (MS) in Machine Learning

Location: Hoboken, New Jersey

Duration: 2 years or more

About: The machine learning masters program establishes the theoretical and practical foundations necessary to be at the forefront of the next technological revolution.

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Program: MSCS in Artificial Intelligence

Location: Stanford, California

Duration: 2 years

About: The MSCS in Artificial Intelligence program includes the study of AI principles and machine learning techniques, as well as foundational material on topics such as logic, probability, and language. The topics in the AI course include knowledge representation and logical reasoning, robotics, machine learning, probabilistic modeling and inference, natural language processing, cognition, and applications in domains such as biology and text processing.

Know more here.

Originally posted here:
Top Master's Programs In Machine Learning In The US - Analytics India Magazine