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Best 13 Masters in Machine Learning in 2024
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Best 13 Masters in Machine Learning in 2024
January 26, 2024 | AdminHaving a master’s in machine learning will give you an edge over other job candidates because you’ll be a technical expert. Additionally, as computers and artificial intelligence continue to impact our everyday lives, computer science career opportunities are also increasing rapidly. Though we realize there’s a difference between a Masters’s in Machine Learning and a Master’s in Computer Science, we have decided to spotlight some Master’s in Computer Science degrees that have emphases or concentrations in machine learning to help you have as many options as possible.We're sorry, but we've encountered an unexpected error.What Career Opportunities Exist for Masters in Machine Learning?
With this in mind, let’s now dive into the best colleges that can help you to reach your dream job.Best 13 Masters in Machine Learning
1Columbia University
New York City, New YorkGraduation Rate:
95%Columbia University grants a Master’s in Computer Science with a Machine Learning track which is intended for students who wish to develop their knowledge of machine learning techniques and applications. Many topics may be touched upon, depending on the classes students choose from, including causal inference, probabilistic modeling. Thee is a machine learning community at CU that spans multiple departments, schools, and institutes. This group participates in activities like seminars on statistical machine learning, student-led reading groups and social hours, and participation in local events such as the New York Academy of Sciences Machine Learning Symposium.Cornell University graduate school’s computer science degree (M.S.) is a 4-semester program. Though it’s technically not a degree in machine learning, students can concentrate their courses in artificial intelligence which includes over ten different machine learning classes that students can choose from. These classes cover topics like dimensionality-reduction, clustering, kernels, deep networks, model debugging, tensor languages, dataset bias, language grounding, the ethics of machine learning, and so much more. This program requires research and a thesis, as well as two non-CS graduate courses to make up a “minor.” In addition, students will be required to TA for undergraduate-level CS classes in exchange for their paid tuition and a stipend for living expenses.In 2019, MIT formed a new college, the Schwarzman College of Computing, to better tackle the gap being found between ever-changing technology and educational systems. MIT hopes to produce “creative computational thinkers and doers with the cultural, ethical, and historical consciousness to use technology for the common good — leaders who will offer the world new technological possibilities grounded in human values.” Their master’s degree in computational science and engineering takes 12-24 months to complete and is heavily research-based. Of the six courses required for graduation, three are chosen by the student as electives. Two of those electives must be chosen from an approved list, which, yes, includes several courses in machine learning.Carnegie Mellon University’s Master’s of Science in Machine Learning requires future students to have a strong computer science background. They must also understand the complex theory involved, be skilled in programming, and have a knack for mathematics. Under this master’s program, students will concentrate on machine learning, artificial intelligence, NLP, computer vision, etc. It takes between one and three years to finish the degree program.Georgia Institute of Technology offers a Master’s of Science in Computer Science with a Machine Learning specialization. Future engineers will examine core courses, such as advanced learning, statistics, research, statistical machine learning, and more. They can complete the master’s program in under two years, focusing on deep learning, data mining, artificial intelligence, etc.School Overview
Tuition:
$8,238 in-state; $17,070 out-of-stateUniversity of Illinois at Urbana-Champaign
Graduation Rate:
85%7
Stanford University
Stanford, CaliforniaGraduation Rate:
74%8
Drexel University Online
Philadelphia, PennsylvaniaGraduation Rate:
70%9
Wentworth Institute of Technology
Graduation Rate:
65%10
University of Arizona
Tucson, ArizonaGraduation Rate:
60%11
Florida Institute of Technology
Melbourne, FloridaGraduation Rate:
60%12
University of North Carolina, Charlotte
Charlotte, North CarolinaGraduation Rate:
56%13
Oregon Health and Science University
Graduation Rate:
52%Ranking Method
The Master of Science in Machine Learning (or Computer Science with an emphasis) is a highly technical and complex subject as it involves many different yet connected parts. The programs on this list were combed with precision to ensure that we were ranking programs that could truly help students receive a deep, tailored machine learning education. Though all schools above are excellent options, for the sake of the article we ranked schools by graduation rate, which implies a high-quality curriculum and phenomenal faculty. If you think your graduate-level machine learning program belongs on this page, feel free to reach out and let us know!Need help finding the right online college or university? We’re here to help you to make a smart choice in your career move.Whether you’re trying to start your career or make a big change, we can help you find the perfect school to help you reach your goals.
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January 26, 2024 | AdminHaving a master’s in machine learning will give you an edge over other job candidates because you’ll be a technical expert. Additionally, as computers and artificial intelligence continue to impact our everyday lives, computer science career opportunities are also increasing rapidly. Though we realize there’s a difference between a Masters’s in Machine Learning and a Master’s in Computer Science, we have decided to spotlight some Master’s in Computer Science degrees that have emphases or concentrations in machine learning to help you have as many options as possible.We're sorry, but we've encountered an unexpected error.What Career Opportunities Exist for Masters in Machine Learning?
With this in mind, let’s now dive into the best colleges that can help you to reach your dream job.Best 13 Masters in Machine Learning
1Columbia University
New York City, New YorkGraduation Rate:
95%Columbia University grants a Master’s in Computer Science with a Machine Learning track which is intended for students who wish to develop their knowledge of machine learning techniques and applications. Many topics may be touched upon, depending on the classes students choose from, including causal inference, probabilistic modeling. Thee is a machine learning community at CU that spans multiple departments, schools, and institutes. This group participates in activities like seminars on statistical machine learning, student-led reading groups and social hours, and participation in local events such as the New York Academy of Sciences Machine Learning Symposium.Cornell University graduate school’s computer science degree (M.S.) is a 4-semester program. Though it’s technically not a degree in machine learning, students can concentrate their courses in artificial intelligence which includes over ten different machine learning classes that students can choose from. These classes cover topics like dimensionality-reduction, clustering, kernels, deep networks, model debugging, tensor languages, dataset bias, language grounding, the ethics of machine learning, and so much more. This program requires research and a thesis, as well as two non-CS graduate courses to make up a “minor.” In addition, students will be required to TA for undergraduate-level CS classes in exchange for their paid tuition and a stipend for living expenses.In 2019, MIT formed a new college, the Schwarzman College of Computing, to better tackle the gap being found between ever-changing technology and educational systems. MIT hopes to produce “creative computational thinkers and doers with the cultural, ethical, and historical consciousness to use technology for the common good — leaders who will offer the world new technological possibilities grounded in human values.” Their master’s degree in computational science and engineering takes 12-24 months to complete and is heavily research-based. Of the six courses required for graduation, three are chosen by the student as electives. Two of those electives must be chosen from an approved list, which, yes, includes several courses in machine learning.Carnegie Mellon University’s Master’s of Science in Machine Learning requires future students to have a strong computer science background. They must also understand the complex theory involved, be skilled in programming, and have a knack for mathematics. Under this master’s program, students will concentrate on machine learning, artificial intelligence, NLP, computer vision, etc. It takes between one and three years to finish the degree program.Georgia Institute of Technology offers a Master’s of Science in Computer Science with a Machine Learning specialization. Future engineers will examine core courses, such as advanced learning, statistics, research, statistical machine learning, and more. They can complete the master’s program in under two years, focusing on deep learning, data mining, artificial intelligence, etc.School Overview
Tuition:
$8,238 in-state; $17,070 out-of-stateUniversity of Illinois at Urbana-Champaign
Graduation Rate:
85%7
Stanford University
Stanford, CaliforniaGraduation Rate:
74%8
Drexel University Online
Philadelphia, PennsylvaniaGraduation Rate:
70%9
Wentworth Institute of Technology
Graduation Rate:
65%10
University of Arizona
Tucson, ArizonaGraduation Rate:
60%11
Florida Institute of Technology
Melbourne, FloridaGraduation Rate:
60%12
University of North Carolina, Charlotte
Charlotte, North CarolinaGraduation Rate:
56%13
Oregon Health and Science University
Graduation Rate:
52%Ranking Method
The Master of Science in Machine Learning (or Computer Science with an emphasis) is a highly technical and complex subject as it involves many different yet connected parts. The programs on this list were combed with precision to ensure that we were ranking programs that could truly help students receive a deep, tailored machine learning education. Though all schools above are excellent options, for the sake of the article we ranked schools by graduation rate, which implies a high-quality curriculum and phenomenal faculty. If you think your graduate-level machine learning program belongs on this page, feel free to reach out and let us know!Need help finding the right online college or university? We’re here to help you to make a smart choice in your career move.Whether you’re trying to start your career or make a big change, we can help you find the perfect school to help you reach your goals.
#J-18808-Ljbffr