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Best Universities offering graduate programs in Artificial Intelligence and Machine Learning
Graduate degree in Statistics and Machine Learning is offered by 14 American universities.
Check out best universities offering online Master's program in Statistics and Machine Learning
Check out our exclusive data on scholarships and financial aid offered by universities for the Master's program in Statistics and Machine Learning. There are also 700+ scholarships available from accredited sources with the amount ranging from $1000-$22k.

The Machine Learning Track is intended for students who wish to develop their knowledge of machine learning techniques and applications. Machine learning is a rapidly expanding field with many applications in diverse areas such as bioinformatics, fraud detection, intelligent systems, perception, finance, information retrieval, and other areas.
Students must complete all core courses and selected electives for a total of 30 graduate points of academic work via CVN while maintaining a minimum grade point average of 2.7. All degree requirements must be completed within 5 years of the beginning of the first course credited toward the degree. This includes courses taken in the non-degree program.
Degree required for admission: Most candidates have completed an undergraduate degree in computer science. Applicants with degrees in other disciplines and a record of excellence are encouraged to apply; these applicants are required to have completed at least six prerequisites: 4 computer science courses covering the foundations of the field and 2 math courses.
The four computer science courses can be ANY undergraduate/graduate-level computer science course. Examples of computer science courses are listed below, but applicants can also take courses in computer languages such as R, Python, C++...etc. As. long as the course is coded as a CS course on your college transcript, the course will meet the CS requirement.
Computer Science Master's Degree - Machine Learning - Program details
Columbia University in the City of New York admission requirements for graduate programs in Computer Science, Information Systems and Information Technology- GRE Required: Yes
- Research assistantships: 1081
- Teaching assistantships: 1757
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- GRE Required: Yes
- Research assistantships: 725
- Teaching assistantships: 164
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Artificial Intelligence and Machine Learning are important areas of study in Robotics that center on the problems of enabling robots to make coherent decisions based on available data.
In addition to fulfilling the requirements of the robotics masters, the students may elect to take the following courses. Note that this suggested set of courses covers 2 of the 3 required areas so students would only need to take one other course in either the Control or Robot Design category to complete the foundational requirements and achieve the desired level of breadth.
Robotics Master's Specialization Artificial Intelligence and Machine Learning - Program details
University of Pennsylvania admission requirements for graduate programs in Computer Science, Information Systems and Information Technology- GRE Required: Yes
- Research assistantships: -
- Teaching assistantships: 1
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60 universities offer the Master's program in Artificial Intelligence and Machine Learning. Which one best suits your need? We will help make you a decision.

The Johns Hopkins University's master's degree in artificial intelligence is designed to educate and train working scientists and engineers in the use of artificial intelligence in engineering and scientific research and development.
The part-time Artificial Intelligence program will educate and train practicing scientists and engineers to be able to carry out engineering and scientifically oriented research and development using their artificial intelligence knowledge and skills.
The rigorous curriculum will provide engineers and computer scientists with a working knowledge of the theoretical concepts in artificial intelligence and will also provide the students with the knowledge and skills to apply both current and future theoretical concepts to real systems and processes. The course content will be based on the foundational content embodied in the current computer science courses modified to provide relevant examples in the artificial intelligence setting.
Courses are offered online as well as in-person at the Applied Physics Laboratory.
Artificial Intelligence, Master of Science - Program details
Johns Hopkins University admission requirements for graduate programs in Computer Science, Information Systems and Information Technology- GRE Required:
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Northwestern’s Master of Science in Artificial Intelligence (MSAI) program aims to serve this demand by producing graduates who have exceptional technical skills to create new AI systems and who also understand the nature of the human environments in which the systems they build will be deployed.
The growth of artificial intelligence and its use in the development of systems that can reason and respond to increasingly complex situations has exploded. This advancement results in an increased demand for individuals who can create complex systems that can partner with, rather than replace or even augment, human users.
Northwestern’s Master of Science in Artificial Intelligence (MSAI) program produces graduates who have exceptional technical skills in the emerging technologies of machine intelligence and an understanding of the nature of the human environments in which the systems they build will be deployed.
In the MSAI program, students follow one of two tracks depending upon whether their desired career path is to work directly in industry conceiving and creating complex AI systems (traditional track), or to continue in their original field of study but with the understanding of the tools and techniques of AI in order to help transform their field (MSAI+X).
The goals of our program focus on providing students with both technical skills and design expertise.
Master of Science in Artificial Intelligence - Program details
Northwestern University admission requirements for graduate programs in Computer Science, Information Systems and Information Technology- GRE Required:
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The PhD in Statistics & Machine Learning program differs from the Machine Learning PhD program in that it places significantly more emphasis on preparation in statistical theory and methodology. Similarly, this program differs from the Statistics PhD program in its emphasis on machine learning and computer science. The Joint PhD Program in Machine Learning and Statistics is aimed at preparing students for academic careers in both CS and Statistics departments at top universities or industry.
PhD in Statistics & Machine Learning - Program details
Carnegie Mellon University admission requirements for graduate programs in Computer Science, Information Systems and Information Technology- GRE Required:
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Find scholarships and financial aid for Artificial Intelligence and Machine Learning graduate programs

At Georgia Tech, artificial intelligence (AI) and machine learning (ML) represent a large swath of faculty and research interests. We are concerned with constructing top-to-bottom and bottom-to-top models of human-level intelligence; building systems that can provide intelligent tutoring; creating adaptive and intelligent entertainment systems; making systems that understand their own behavior; growing the understanding of how to build autonomous agents that can adapt in dynamic environments involving multitudes of other intelligent agents; modeling and predicting human behavior; automating creativity; and addressing a variety of other problems.
Commonly taken courses include Introduction to Artificial Intelligence, Machine Learning, Natural Language Understanding, Knowledge-based AI, Game AI, and Pattern Recognition. Several courses in robotics and computational perception also have an AI or ML aspect. Versions of these courses are also available at the graduate level.
AI and machine learning often touch multiple areas and schools within the College of Computing, and different groups emphasize different aspects of the research. In the School of Interactive Computing, Ashok Goel, Charles Isbell, and Mark Riedl form a core of faculty, but many faculty in wearable computing as well as robotics and computational perception pursue related problems and apply similar techniques. There are also machine learning faculty in the schools of Computer Science and Computational Science & Engineering.
Master of Science in Computer Science, Specialization in Machine Learning - Program details
Georgia Institute of Technology-Main Campus GRE score and admission requirements for graduate programs in Computer Science, Information Systems and Information Technology- GRE Required:
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Artificial Intelligence (AI) is an area of study that explores how to create computer programs that learn to make decisions, reason about data, and communicate with humans. In the MS in AI degree program, students learn to apply creative thinking, algorithmic design, and coding skills to build modern AI systems. Students will gain deep technical training and expertise in the focus areas of machine learning, computer vision, and natural language processing.
The program prepares students to work as Artificial Intelligence Engineers in information technology companies or pursue a PhD in computer science.
The 8-course (32-credit) MS in AI program is geared toward students with a computer science undergraduate degree, but they also welcome those with equivalent training and experience, as well as students with gaps in their computing background but strong academic records overall.
There is no foreign language requirement for this degree.
MS in Artificial Intelligence - Program details
Boston University GRE score and admission requirements for graduate programs in Computer Science, Information Systems and Information Technology- GRE Required:
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The Master of Science in Artificial Intelligence (MSAI) provides a comprehensive framework of theory and practice in the emerging field of AI. The program delivers the foundational knowledge needed to explore both key contextual areas and complex technical applications of AI systems.
Curriculum incorporates elements of data science, robotics, and machine learning enabling you to pursue a holistic and interdisciplinary course of study while preparing for a position in AI research, operations, software or hardware development, or doctoral degree in a sector poised for explosive growth.
The MS in Artificial Intelligence program features five core courses Programming Design Paradigms, Algorithms, Foundations of AI, Machine Learning, and Intelligent Interaction that represent the essential knowledge for research and development in Artificial Intelligence. These courses examine the foundational representations and processes used across AI systems, how machine learning can be used to acquire this knowledge and the various ways AI systems interact with people, as well as an understanding of the ethical concerns in developing AI technologies responsibly. The courses are tailored toward technically or mathematically trained students.
MS in Artificial Intelligence - Program details
Northeastern University GRE score and admission requirements for graduate programs in Computer Science, Information Systems and Information Technology- GRE Required:
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The Electrical and Computer Engineering Department (ECE) offers the Electrical and Computer Engineering M.S.-Machine Learning and Signal Processing (MLSP) named option program which is intended for students looking for an advanced entry into a data science career in industry.
Students will learn quantitative thinking, practical problem-solving, computer programming, and applications to a variety of domains. It is designed to deepen the student's technical knowledge and sharpen their professional skills for a well-prepared entry into industry. The program provides a practical focus through a course-only curriculum, an accelerated and predictable 16-month completion time, and a professional development hands-on project requirement. Well-prepared students and UW–Madison undergraduates may find it feasible to complete the program in 12 months.
The required coursework draws upon foundational and cutting-edge methods in MLSP, and is taught by faculty conducting pioneering research in the field. Successful students will have some experience with linear algebra, statistics, and programming. The combined focus on the mathematical foundations of data science and their practical application to real-world problems will prepare graduates to be ready to immediately contribute in a variety of different jobs across data science, machine learning, and signal processing.
The focus of the MLSP program differs from the traditional research-based M.S. program. MLSP students do not conduct independent research and prepare a thesis, but rather have an accelerated course plan focused in the MLSP area with a professional development hands-on project, either via an internship/co-op or an independent project. Students also have the opportunity to take select courses from Engineering Professional Development. If you are interested in research and advanced concept development, you are better served pursuing a research-based M.S. program or a Ph.D. program. If you want to complete your degree in 12–16 months and have a fast-track into the data science workforce, then the MLSP program is right for you.
Electrical and Computer Engineering Department (ECE) offers the Electrical and Computer Engineering M.S.-Machine Learning and Signal Processing (MLSP) - Program details
University of Wisconsin-Madison GRE score,GPA for masters degree in Computer Science, Information Systems and Information Technology- GRE Required:
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What kind of scholarships are available for Graduate Programs in Artificial Intelligence and Machine Learning?
We have 145 scholarships awarding up to $1,029,691 for Masters program in for Artificial Intelligence and Machine Learning, targeting diverse candidates and not restricted to state or school-based programs.
Scholarship name | Amount | Credibility |
---|---|---|
ASNT Fellowship Award | $20,000 | High |
Google Lime Scholarship | $5,000 | High |
The Innovator’s Grant | $3,600 | High |
GeneTex Scholarship Program | $2,000 | High |
GMiS STEM Scholarships | $500 | High |
Find more scholarships in Computer Science, Information Systems and Information Technology
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Compare the GRE score requirements, admission details, credit requirements and tuition for the Master's Program, from 60 universities offering Graduate School Programs in Artificial Intelligence and Machine Learning. Compare Graduate School Programs in Artificial Intelligence and Machine Learning
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Some of the universities that offer hybrid Machine Learning hybrid masters program include,
> Stevens Institute of Technology's Machine Learning Master's program.
> University of Southern California's Master of Science in Electrical and Computer Engineering - Machine Learning and Data Science program.
> Drexel University's Master's in Artificial Intelligence and Machine Learning program.
> MS in Computer Science, Data Science Concentration offered by Fitchburg State University
> Master of Science in Computer and Information Science with Data Science Option offered by Southern Arkansas University-Main Campus
> MS in Computer Science - Data Science Specialization offered by Seattle University
> MS in CS Concentration in Data Science offered by the University of Massachusetts-Amherst
I want to pursue a Master's degree in in AI with some knowledge of data science. Aprreciate the help